CCB Architecture, Data, &amp; Engineering:&lt;p&gt;As a member of the Architecture, Data, and Engineering (ADE) organization within CCB Technology, you will provide the infrastructure, process, and technical acumen that drives innovation in the FinTech industry. The teams within ADE are responsible for implementing the latest technology, modernizing engineering practices, ensuring stability and control, and empowering the use of intellectual capital to support the various organization stakeholders, users, and ultimately the customer. Key objectives of the ADE are making CCB data accessible to the broader organization, redefining the process for consumption, and ensuring key performance metrics are met. The role within this particular team of CCB ADE is responsible for driving organizational transformation through the use of data, analytics, automation, and AI/ML in order to provide direct input to senior leadership to implement change.&lt;p&gt;Candidate Profile:&lt;p&gt;The ideal candidate will demonstrate skills on data engineering best practices, data team leadership, and creative problem solving. They will possess significant technical knowledge and experience with methods and tools for building and maintaining high quality data pipelines that drive analytic solutions. S/he will also have an understanding of data architecture, data engineering, data analysis, reporting, and a basic practical knowledge of data science techniques and workflows.&lt;p&gt;In addition to strong technical skills, the ideal candidate will be innovative, self-motivated, and inclined to create genuine business value through the alignment of technology, architecture, data, and business interests. Strong communication skills and teamwork will be vital to success, as many high value opportunities require partnership with multiple business, functional groups, and analytic stakeholders across the firm. The candidate must have a strong willingness to learn, grow, and take feedback from their peers.&lt;p&gt;Responsibilities:&lt;p&gt; Create data products for analytics and data scientist team members to improve their output ;&lt;p&gt; Plan and execute analytical work, individually and with the team, working with large scale datasets and Big Data environment;&lt;p&gt; Execute sound data curation, wrangling, and associated correlation processes;&lt;p&gt; Advise, consult, mentor and coach other data and analytic professionals on data standards and practices;&lt;p&gt; Have a clear view of metrics of success, model and implementation feasibility, and impact to the organization;&lt;p&gt; Solve complex data problems to deliver insights that helps the organization&#x27;s business to achieve their goals;&lt;p&gt; Partner with business analysts and solutions architects to develop technical architectures for strategic projects and initiatives, and;&lt;p&gt; Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations.&lt;p&gt;Qualifications and Required Skills:&lt;p&gt; 5+ years of experience in leveraging data engineering, science, and analytics to solve business problems;&lt;p&gt; Bachelor&#x27;s degree in relevant Computer Science field required, advanced degree preferred (e.g. Computer Science, MIS, Engineering, Statistics, Applied Math, Operations Research, other Data Science fields);&lt;p&gt; Expertise in SQL and data analysis and experience with Python;&lt;p&gt; Intellectual curious and self -driven in understanding business domains and their data;&lt;p&gt; Experience developing and maintaining data warehouses in big data solutions;&lt;p&gt; Familiarity with Agile, experience with Agile is a plus;&lt;p&gt; Experience in practical data processing working with large scale datasets and Big Data environment, data mining, text curation and information retrieval tasks;&lt;p&gt; Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics;&lt;p&gt; Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic, and;&lt;p&gt; Ability to convey complex information in an understandable, compelling, and persuasive manner at all levels.&lt;p&gt;JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran. Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Lead Data Engineer - AI/ML

The Card Strategic Insights Team is responsible for working across our credit card organization to develop and execute data science and analytical solutions to advance our marketing, product, and channel strategies. This role will be a key member of the analytics team responsible for driving advanced analytics and developing AI/ML-based business solutions to support Card top priorities. The role requires strong ML / advanced analytic &amp; problem-solving skills, superior communication skills, and leverage sound judgment to effectively work in a fast pace and dynamic environment. Additionally, they must possess the ability to work with and synthesize large amounts of data into actionable analysis and provide a point of view to senior leadership.&lt;p&gt;Key responsibilities will include:&lt;p&gt; Provide thought leadership on &#x27;big-idea&#x27; strategic projects and how to leverage advanced analytics and AI/ML techniques to generate actionable business insights and/or solutions&lt;p&gt; Complete and manage complex analytical projects end to end, including formulating project proposal to obtain executive and business approvals, performing hands-on data mining and analysis, translating the findings into actionable business solutions, managing project team and timeline, presenting the final results/recommendations to Executive Leadership Team and business partners, and finally driving implementation and testing plans&lt;p&gt; Effectively prioritizes and delivers a portfolio of high impact initiatives and negotiates priorities and organizes resources to meet commitments&lt;p&gt; Partners closely with business customers to identify impactful projects, influence key decisions with data, and ensure client satisfaction&lt;p&gt; Delivers scalable and sustainable new analytic capabilities &amp; automation solutions that unlock value and provide efficiency&lt;p&gt; Builds strong communications that effectively convey analytical findings and recommended actions in such a way that effectively influences senior executives&lt;p&gt; Develops the team and contributes to a positive and inclusive culture and employee experience&lt;p&gt; Helps to supervise and coach junior analysts when needed&lt;p&gt;Qualifications&lt;p&gt; Master&#x27;s degree in a relevant quantitative field required (e.g. Statistics, Applied Economics, Applied Math, Operations Research, Physics, Data Science, or related fields)&lt;p&gt; 4+ years of industry experience in business analytics roles (e.g., marketing analytics, product analytics, business insights) or data science&lt;p&gt; Experience across broad range of data science (supervised and unsupervised machine learning models) and analytics platforms, languages, and tools (SAS, SQL, Spark and Python required, Tableau and Alteryx preferred)&lt;p&gt; Excellent communicator who&#x27;s able to convey complex information in an understandable, compelling, and persuasive manner to senior executives&lt;p&gt; Thought leader in analytics and/or data science who can help our internal clients define their business problem, create solutions to address it, plan and execute the implementation&lt;p&gt; Expert knowledge in quantitative methods for business and advanced data science&lt;p&gt; Financial services especially Credit Card experience strongly preferred&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

VP, Data Scientist Lead - Card Strategic Insights

JPMorgan Chase &amp; Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase &amp; Co. serves millions of consumers in the United States and many of the world&#x27;s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase &amp; Co. is available at www.jpmorganchase.com .&lt;p&gt;Chase Consumer &amp; Community Bank (CCB) serves 61 million households and 4 million small businesses with a broad range of financial services. CCB Business Banking provides financial advice as well as deposit, credit, and cash management products to more than 3 million small business owners with up to $20 million in annual revenue. In 2020, we were No. 1 among big banks in J.D. Power&#x27;s business customer satisfaction survey, No. 1 in primary bank market share, and the No. 1 provider of Paycheck Protection Program loan relief dollars in both 2020 and 2021.&lt;p&gt;The Business Banking Client Analytics Team is responsible for definition and execution actionable data science and analytical projects that inform the Business Banking Executive Leadership Team (e.g., CEO, CFO, Chief Strategist, etc.). Our team partners with stakeholders in a consulting-style environment that places a premium on creative problem solving and stakeholder interaction.&lt;p&gt;The role works on strategic, highly visible initiatives that set the roadmap for a major player in the SMB space - an industry that is evolving very quickly. This is unique opportunity for an experienced practitioner in data science, analytics, and econometrics to work with cutting edge big data technologies and methods to address the broad range of challenges faced by the enterprise. This work moves bottom line of the firm by informing our most critical decisions with timely, actionable data insights.&lt;p&gt;Key Responsibilities&lt;p&gt;     * Leadership for data science, advanced analytics, and econometrics projects:&lt;br&gt;          + Provide thought leadership on data science best practices, methods, and tools&lt;br&gt;          + Manage junior data science and analytics teammates&lt;br&gt;     * Develop, plan, and execute analytical projects as an individual contributor and in teams&lt;br&gt;          + Bring order to disparate requirements with high tolerance for ambiguity, very strong problem-solving ability, and excellent client engagement skills&lt;br&gt;          + Pivot quickly as guidance evolves, always keeping the ultimate project objective in mind. Manage evolving project requirements while continuously learning quickly on-the-job&lt;br&gt;          + Establish and embrace guidelines to ensure consistency and high quality of presentation materials in appearance, tone, and style&lt;br&gt;          + Collaborate with unit managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities&lt;br&gt;     * Synthesize analytical findings for consumption by senior business executives&lt;p&gt;     * Develop preliminary hypotheses rapidly, focusing on the most important insights to meet the business need&lt;br&gt;     * Be a storyteller capable of delivering practical data insights in a compelling manner actionable by senior leadership&lt;br&gt;     * Articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations&lt;p&gt;     * Become trusted advisor and thought leader on business data and analytical techniques&lt;br&gt;          + Establish and manage relationships with clients and internal partners&lt;p&gt;     *&lt;br&gt;          + Develop deep subject matter expertise in various financial and operational domains&lt;br&gt;          + Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones&lt;br&gt;          + Demonstrate intellectual curiosity for solving complex business problems&lt;br&gt;          + Drive data science and analytics strategies for clients and partners including recommendations on analytical products, services, protocols, and standards&lt;p&gt;Qualifications&lt;p&gt;     * 5+ years of industry experience in analytical roles (e.g., consulting, modeling, data analysis)&lt;br&gt;     * Bachelor&#x27;s degree required, advanced degree preferred in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics)&lt;br&gt;     * Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic&lt;br&gt;     * Thought leader in data science and analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and executes with precision&lt;br&gt;     * Influencer with great interpersonal skills and proven ability to achieve alignment across a range of different views and interests&lt;br&gt;     * Excellent communicator able to convey complex information in an understandable, compelling, and persuasive manner to senior executives&lt;br&gt;     * Strong aptitude for technical concepts and ideas&lt;br&gt;     * Knowledge of modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models)&lt;br&gt;     * Experience across broad range of modern data science and analytics tools and languages (e.g., SQL, Scala, Python, R)&lt;br&gt;     * Financial services background preferred, but not required&lt;br&gt;     * Experience at top tier analytics consulting firm is a plus&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

CCB Business Banking Client Analytics, Sr. Data Scientist - VP

CCB Focused Analytics Solutions Team is responsible for working across CCB to develop and execute actionable data science and analytical solutions which leverage Big Data in a consulting-style environment that places a premium on creative problem solving and client interaction. The team works on a large range of strategic, highly visible projects with internal clients including Consumer Banking, Home Lending, Card Services, Business Banking, Auto Finance, and Merchant Services. The role will develop data-centric solutions that move the bottom line for the firm. It is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm.&lt;p&gt;What to expect&lt;p&gt;The Data Science Sr. Associate in FAST work on uncovering creative and innovative ways to solve business problems using an assortment of data science methods, algorithms and techniques.&lt;p&gt;You&#x27;ll make an impact by:&lt;br&gt;     * Using your knowledge and technical skills to help uncover novel use cases of Big Data analytics that can be deployed at scale across the business&lt;br&gt;     * Helping internal clients define their business problem, understand root causes and scope analytical solutions to address it&lt;br&gt;     * Building an in-depth understanding of the problem domain and available data assets&lt;br&gt;     * Researching, designing, implementing, and evaluate analytical approaches and models&lt;br&gt;     * Taking initiative in evaluating and adapting new approaches from data science research&lt;br&gt;     * Performing ad-hoc exploratory statistics and data mining tasks on diverse datasets from small scale to &quot;big data&lt;br&gt;     * Investigating data visualization and summarization techniques for conveying key findings&lt;br&gt;     * Communicating findings and obstacles to stakeholders to help drive the delivery to market&lt;br&gt;     * Coding your solutions (this is a hands-on position requiring strong programming skills)&lt;br&gt;     * Collaborating across teams to deliver the best solution for client, working with a wide range of internal resources&lt;p&gt;About you&lt;p&gt;We&#x27;re looking for highly-motivated team players with a passion for applied data science and with the initiative and insight to develop innovative analytic solutions&lt;p&gt;Key qualifications:&lt;br&gt;     * 2+ years experience developing data science solutions&lt;br&gt;     * Ability to mentor junior data scientists&lt;br&gt;     * Experience driving business value by translating business requirements into analytical plans and executing against them&lt;br&gt;     * Ability to communicate results clearly and effectively to senior leadership&lt;br&gt;     * Exceptional analytical, quantitative, problem solving, and communication skills&lt;br&gt;     * Excellent leadership, consultative partnering and collaboration across teams&lt;br&gt;     * Master degree in a quantitative discipline such as Statistics, Economics, Applied Math, Computer Science, Operations Research, etc.&lt;br&gt;     * Coursework and applied work in statistical modelling (cross-sectional, panel, time series, parametric and non- parametric) and/or in machine learning ( with a good understanding of key supervised and unsupervised methods)&lt;br&gt;     * Intermediate to expert knowledge of Python and/or R&lt;br&gt;     * Experience in practical data processing, data mining, text mining and information retrieval tasks&lt;br&gt;     * Self-starter, demonstrated strong work ethic&lt;br&gt;     * Intermediate to expert knowledge of SQL&lt;br&gt;     * Working knowledge of Big data technologies &amp; their applications&lt;br&gt;     * Thorough understanding of probability and statistics&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Data Scientist Sr. Associate - FAST (Focused Analytics Solutions Team)

JPMorgan Chase &amp; Co . (NYSE: JPM) is a leading global financial services firm with operations worldwide. The Firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase &amp; Co. serves millions of customers in the United States and many of the world&#x27;s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase &amp; Co. is available at www.jpmorganchase.com&lt;p&gt;Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.&lt;p&gt;Chase Consumer &amp; Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer &amp; Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Chase Card Services is the top issuer of US credit cards.&lt;p&gt;The Data Science and Capability team isa Data Center of Excellence within CCB Card Modeling. Data is the lifeblood of Machine Learning. We focus on driving quality and consistency of existing and new data and attributes, driving critical data capability and deriving actionable insight using modern tools and techniques. We are looking for candidates with demonstrated extensive knowledge of data science techniques, strong statistical analysis skills, and expertise in logic and attention to details. In this critical role, the candidate will be responsible for the quality of data and attributes used in Machine Learning Models to safeguard our business and derivation of new information / attributes to identify new opportunities for revenue growth and risk mitigation in card business. The successful candidate must be comfortable working with a wide range of stakeholders and functional teams and be able to effectively communicate results to senior management.&lt;p&gt;Card Risk Modeling - Data Science and Capability Team (Associate)&lt;br&gt;     * Design and development of attribute library to drive consistency and improve quality of data used for machine learning models throughout the customer lifecycle (acquisition, account management, transaction authorization and collection)&lt;br&gt;     * Work closely with the senior management team and utilize cutting-edge machine learning approaches to develop innovative attributes and machine learning modeling solutions, deliver them into production&lt;br&gt;     * Manage attribute quality testing and monitoring by leveraging modern techniques to identify data and attributes issues, patterns, improve attributes accuracy, consistency and establish warning systems / tools&lt;br&gt;     * Evaluate the effectiveness and accuracy of new data sources and data gathering techniques&lt;br&gt;     * Collaborate with various partners in marketing, risk, technology, data governance and control, etc. throughout the entire attributing and modeling lifecycle&lt;br&gt;     * Own quality of attributes and models developed, assuring accurate and appropriate development standards, and right implementation at all times&lt;br&gt;     * Make contributions to the group&#x27;s knowledge base by proposing new and creative ways for approaching analytic problems and project design&lt;p&gt;Basic Qualifications&lt;br&gt;     * Ph.D. or Master&#x27;s degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering&lt;br&gt;     * 2 years of experience working with large data, developing or managing the development and implementation of attributes and predictive models in the credit card industry.&lt;br&gt;     * Ability to write high-quality code in traditional as well as modern platforms. At least two years professional experience and proficiency in coding (e.g. Python, SAS, Spark, Scala, or Tensorflow) and big data platform (e.g., Hadoop, HDFS, Teradata, AWS cloud, Hive)&lt;br&gt;     * Solid understanding of advanced statistical methods and advanced machine learning techniques: GLM/Regression, Random Forest, Boosting, Trees, neural networks, clustering, KNN, anomaly detection, simulation, scenario analysis, modeling, etc.&lt;br&gt;     * Strong ability to understand and interpret data&lt;br&gt;     * Advanced problem-solving skills and exceptional analytical skills&lt;br&gt;     * Polished and clear communications with senior management&lt;br&gt;     * Ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation, analysis, and summarization of large quantities of data.&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Consumer & Community Banking - Card Risk Machine Learning - Sr. Associate

The Line and Pricing Modeling team within Card Risk Modeling group is responsible for developing and implementing best in class predictive models in the respective function areas to manage Chase credit card portfolios. Working for the largest credit card issuing bank in the US, you will develop and implement various account level predictive mathematical models to estimate risk and profitability of the card portfolio and leverage these models to recommend optimal action strategies in credit card price and line management areas.&lt;p&gt;Line management and Pricing are important areas in card portfolio management in which existing strategies can be optimally enhanced with appropriate machine learning algorithms that effectively utilize rich data assets, big data platform and best in class analytical capabilities.&lt;p&gt;In this role, you will be the modeling expert for identifying and leveraging suitable machine learning algorithms for developing models and strategies. Your work includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from account level and/or transaction level data gathered from millions of accounts. You will ensure models meet firm&#x27;s model explainability standard and will develop tools for real time assessments on key drivers as needed. You will also compare the new approach with the traditional statistical approach and provide modeling and strategic recommendation that can be implemented and will enhance portfolio profitability with appropriate control in risk.&lt;p&gt;Required&lt;br&gt;     * Master&#x27;s degree in Computer Science, Mathematics, Statistics, Operational Research, Physics, and other related quantitative fields. Ph.D. strongly preferred.&lt;br&gt;     * Expert in generalized linear models, unsupervised and supervised machine learning algorithms.&lt;br&gt;     * Experienced in developing models for commercial purposes using some (at least 3) of the following machine learning algorithms like XGBoost, Random Forrest, KNN, CNN, RNN, SVM, Reinforcement Learning, etc.&lt;br&gt;     * Demonstrated proficiency in some of the open source programming languages for large scale data analysis such as Python / Scala / Java&lt;br&gt;     * Experienced with traditional database / system language (e.g. SAS, SQL, etc.) to collaborate with other data analysts / systems.&lt;br&gt;     * Strong written and oral communication skills to clearly present analytical findings and influence across all levels of the organization&lt;br&gt;     * A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed&lt;p&gt;Preferred&lt;br&gt;     * Experience with model design in a big data environment making use of distributed/parallel processing via Hadoop, particularly Spark and Hive. Experience in working with GPU-accelerated hardware is a plus.&lt;br&gt;     * Experience with model development in financial industry&lt;br&gt;     * Academic papers published in the area of machine learning in the top machine learning journals&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

CCB - Risk-Card Machine Learning Data Scientist/Modeler- Senior Associate

Data Scientist Associate, Card Strategic Insights&lt;p&gt;The Card Strategic Insights Team is responsible for working across our credit card organization to develop and execute data science and analytical solutions to advance our marketing, product, and channel strategies. The successful candidate will be a key member of the analytic team responsible for driving competitive insights and developing proactive insights across card services.&lt;p&gt;The Data Scientist in this role will:&lt;br&gt;     *&lt;br&gt;     * Own the end-to-end competitor &amp; industry insights and understands their impacts to our business&lt;br&gt;     * Drive Machine Learning based insights&lt;br&gt;     * Interpret analytic results and present to stakeholders and senior management&lt;br&gt;     * Partner with marketing strategy managers to optimize campaigns and develop new strategies&lt;br&gt;     * Continuously develop skills to provide best-in-class analytics to the business&lt;p&gt;Minimum Qualifications:&lt;br&gt;     * Bachelor&#x27;s and Master&#x27;s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)&lt;br&gt;     * 1-2 years of experience in applying statistical methods to real world problems&lt;br&gt;     * 1-2 years of experience with SQL, SAS, and Python&lt;br&gt;     * Some experience with visualization techniques for data analysis and presentation (Tableau preferred)&lt;br&gt;     * Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners&lt;p&gt;Candidates who will be successful in this role will be:&lt;br&gt;     * Intellectually curious and eager to learn new things with an eye towards innovation&lt;br&gt;     * A strategic thinker with the ability to focus on business goals&lt;br&gt;     * Excellent at solving unstructured problems independently&lt;br&gt;     * Highly organized and able to prioritize multiple tasks&lt;br&gt;     * A strong communicator and able to build relationships with key stakeholders&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Data Scientist Associate - Card Strategic Insights

JPMorgan Chase &amp; Co . (NYSE: JPM) is a leading global financial services firm with operations worldwide. The Firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase &amp; Co. serves millions of customers in the United States and many of the world&#x27;s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase &amp; Co. is available at www.jpmorganchase.com&lt;p&gt;Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.&lt;p&gt;Chase Consumer &amp; Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer &amp; Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Chase Card Services is the top issuer of US credit cards.&lt;p&gt;The Data Science and Capability team isa Data Center of Excellence within CCB Card Modeling. Data is the lifeblood of Machine Learning. We focus on driving quality and consistency of existing and new data and attributes, driving critical data capability and deriving actionable insight using modern tools and techniques. We are looking for candidates with demonstrated extensive knowledge of data science techniques, strong statistical analysis skills, and expertise in logic and attention to details. In this critical role, the candidate will be responsible for the quality of data and attributes used in Machine Learning Models to safeguard our business and derivation of new information / attributes to identify new opportunities for revenue growth and risk mitigation in card business. The successful candidate must have demonstrated experience working with a wide range of stakeholders and functional teams and be able to effectively communicate results to senior management.&lt;p&gt;Card Risk Modeling - Data Science and Capability Team&lt;br&gt;     * Lead the design and develop data quality control procedures to enhance the accuracy and integrity of modeling data throughout the customer lifecycle (e.g., acquisition, account management, transaction authorization, collection)&lt;br&gt;     * Manage data quality testing by leveraging modern techniques to identify data issues, improve data accuracy, consistency and efficiency&lt;br&gt;     * Lead the development of processes and tools to monitor data accuracy and model performance&lt;br&gt;     * Assess the effectiveness and accuracy of new data sources and data gathering techniques&lt;br&gt;     * Work closely with the senior management team and utilize cutting-edge machine learning approaches to develop innovative attributes and machine learning modeling solutions, deliver them into production&lt;br&gt;     * Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire attributing and modeling lifecycle (existing attribute correction and improvement, new attribute and model development, review, deployment, and usage)&lt;p&gt;Basic Qualifications&lt;br&gt;     * Ph.D. or Master&#x27;s degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering&lt;br&gt;     * At least eight years of experience working with large data, developing or managing the development and implementation of predictive models in the credit card industry&lt;br&gt;     * Ability to write high-quality code. At least five years professional experience and proficiency in coding (e.g. Python, SAS, Spark, Scala, or Tensorflow) and big data platform (e.g., Hadoop, HDFS, Teradata, AWS cloud, Hive)&lt;br&gt;     * Solid understanding of advanced statistical methods and advanced machine learning techniques: GLM/Regression, Random Forest, Boosting, Trees, neural networks, clustering, KNN, anomaly detection, simulation, scenario analysis, modeling, etc.&lt;br&gt;     * Strong ability to understand and interpret data&lt;br&gt;     * Advanced problem-solving skills and exceptional analytical skills&lt;br&gt;     * Polished and clear communications with senior management&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Consumer & Community Banking - Card Risk Machine Learning - VP

The Card Strategic Insights Team is responsible for working across our credit card organization to develop and execute data science and analytical solutions to advance our marketing, product, and channel strategies. This role will be a key member of the analytics team responsible for managing portfolio analytics to drive Card marketing programs including retention, Card mobile expansion, EMOB and Embedded Payment. They will develop AI/ML-based business solutions to support Card top priorities. The role requires strong analytic &amp; problem-solving skills, superior communication skills, and leverage sound judgment to effectively work in a fast pace and dynamic environment. Additionally, they must possess the ability to work with and synthesize large amounts of data into actionable analysis and provide a point of view to senior leadership.&lt;p&gt;Key responsibilities will include:&lt;p&gt; Owns end-to-end portfolio analytics to drive one or two of the Card marketing programs that the team supports, including designing targeting and offer strategies, providing new test design recommendations, evaluating campaign success, and conducting proactive advance analytics to consistently enhance the existing strategies.&lt;p&gt; Provide thought leadership on &#x27;big-idea&#x27; strategic projects and how to leverage advanced analytics AI/ML techniques to generate actionable business insights and/or solutions; be able to complete and manage complex analytical projects end to end.&lt;p&gt; Effectively prioritizes and delivers a portfolio of high impact initiatives and negotiates priorities and organizes resources to meet commitments&lt;p&gt; Partners closely with business customers to identify impactful projects, influence key decisions with data, and ensure client satisfaction&lt;p&gt; Delivers scalable and sustainable new analytic capabilities &amp; automation solutions that unlock value and provide efficiency&lt;p&gt; Builds strong communications that effectively convey analytical findings and recommended actions in such a way that effectively influences senior executives&lt;p&gt; Develops the team and contributes to a positive and inclusive culture and employee experience&lt;p&gt; Helps to supervise and coach junior analysts when needed&lt;p&gt;Qualifications&lt;p&gt; Bachelors degree in relevant quantitative field required (e.g. Statistics, Applied Economics, Applied Math, Operations Research, Physics, Data Science, or related fields); Advanced degree in quantitative field preferred&lt;p&gt; 5+ years of industry experience in business analytics roles (e.g., marketing analytics, product analytics, business insights) or data science&lt;p&gt; Experience across broad range of data science and analytics platforms, languages, and tools (SAS, SQL, Spark, Python required, Tableau, Alteryx, Hadoop preferred)&lt;p&gt; Excellent communicator who&#x27;s able to convey complex information in an understandable, compelling, and persuasive manner to senior executives&lt;p&gt; Thought leader in analytics and/or data science who can help our internal clients define their business problem, create solutions to address it, plan and execute the implementation&lt;p&gt; Expert knowledge in quantitative methods for business and advanced data science&lt;p&gt; Financial services especially Credit Card experience strongly preferred&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the &quot;WELL Health-Safety Rating&quot; for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.&lt;p&gt;As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm&#x27;s vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

JPMorgan Chase &amp; Co . (NYSE: JPM) is a leading global financial services firm with operations worldwide. The Firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase &amp; Co. serves millions of customers in the United States and many of the world&#x27;s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase &amp; Co. is available at www.jpmorganchase.com&lt;p&gt;Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.&lt;p&gt;Chase Consumer &amp; Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer &amp; Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Chase Card Services is the top issuer of US credit cards.&lt;p&gt;The Data Science and Capability team isa Data Center of Excellence within CCB Card Modeling. Data is the lifeblood of Machine Learning. We focus on driving quality and consistency of existing and new data and attributes, driving critical data capability and deriving actionable insight using modern tools and techniques. We are looking for candidates with demonstrated extensive knowledge of data science techniques, strong statistical analysis skills, and expertise in logic and attention to details. In this critical role, the candidate will be responsible for the quality of data and attributes used in Machine Learning Models to safeguard our business and derivation of new information / attributes to identify new opportunities for revenue growth and risk mitigation in card business. The successful candidate must be comfortable working with a wide range of stakeholders and functional teams and be able to effectively communicate results to senior management.&lt;p&gt;Card Risk Modeling - Data Science and Capability Team (Associate)&lt;br&gt;     * Design and development of attribute library to drive consistency and improve quality of data used for machine learning models throughout the customer lifecycle (acquisition, account management, transaction authorization and collection)&lt;br&gt;     * Work closely with the senior management team and utilize cutting-edge machine learning approaches to develop innovative attributes and machine learning modeling solutions, deliver them into production&lt;br&gt;     * Manage attribute quality testing and monitoring by leveraging modern techniques to identify data and attributes issues, patterns, improve attributes accuracy, consistency and establish warning systems / tools&lt;br&gt;     * Evaluate the effectiveness and accuracy of new data sources and data gathering techniques&lt;br&gt;     * Collaborate with various partners in marketing, risk, technology, data governance and control, etc. throughout the entire attributing and modeling lifecycle&lt;br&gt;     * Own quality of attributes and models developed, assuring accurate and appropriate development standards, and right implementation at all times&lt;br&gt;     * Make contributions to the group&#x27;s knowledge base by proposing new and creative ways for approaching analytic problems and project design&lt;p&gt;Basic Qualifications&lt;br&gt;     * Ph.D. or Master&#x27;s degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering&lt;br&gt;     * 2 years of experience working with large data, developing or managing the development and implementation of attributes and predictive models in the credit card industry.&lt;br&gt;     * Ability to write high-quality code in traditional as well as modern platforms. At least two years professional experience and proficiency in coding (e.g. Python, SAS, Spark, Scala, or Tensorflow) and big data platform (e.g., Hadoop, HDFS, Teradata, AWS cloud, Hive)&lt;br&gt;     * Solid understanding of advanced statistical methods and advanced machine learning techniques: GLM/Regression, Random Forest, Boosting, Trees, neural networks, clustering, KNN, anomaly detection, simulation, scenario analysis, modeling, etc.&lt;br&gt;     * Strong ability to understand and interpret data&lt;br&gt;     * Advanced problem-solving skills and exceptional analytical skills&lt;br&gt;     * Polished and clear communications with senior management&lt;br&gt;     * Ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation, analysis, and summarization of large quantities of data.&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

The Line and Pricing Modeling team within Card Risk Modeling group is responsible for developing and implementing best in class predictive models in the respective function areas to manage Chase credit card portfolios. Working for the largest credit card issuing bank in the US, you will develop and implement various account level predictive mathematical models to estimate risk and profitability of the card portfolio and leverage these models to recommend optimal action strategies in credit card price and line management areas.&lt;p&gt;Line management and Pricing are important areas in card portfolio management in which existing strategies can be optimally enhanced with appropriate machine learning algorithms that effectively utilize rich data assets, big data platform and best in class analytical capabilities.&lt;p&gt;In this role, you will be the modeling expert for identifying and leveraging suitable machine learning algorithms for developing models and strategies. Your work includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from account level and/or transaction level data gathered from millions of accounts. You will also compare the new approach with the traditional statistical approach and provide modeling and strategic recommendation that can be implemented and will enhance portfolio profitability with appropriate control in risk.&lt;p&gt;Required&lt;br&gt;     * Master&#x27;s degree in Computer Science, Mathematics, Statistics, Operational Research, Physics, and other related quantitative fields. Ph.D. strongly preferred.&lt;br&gt;     * Expert in generalized linear models, unsupervised and supervised machine learning algorithms.&lt;br&gt;     * Experienced in developing models for commercial purposes using some (at least 3) of the following machine learning algorithms like XGBoost, Random Forrest, KNN, CNN, RNN, SVM, Reinforcement Learning, etc.&lt;br&gt;     * Demonstrated proficiency in some of the open source programming languages for large scale data analysis such as Python / Scala / Java&lt;br&gt;     * Experienced with traditional database / system language (e.g. SAS, SQL, etc.) to collaborate with other data analysts / systems.&lt;br&gt;     * Strong written and oral communication skills to clearly present analytical findings and influence across all levels of the organization&lt;br&gt;     * A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed&lt;p&gt;Preferred&lt;br&gt;     * Experience with implementing scalable machine learning/data mining algorithms making use of distributed/parallel processing and GPU&lt;br&gt;     * Experience with model development in financial industry&lt;br&gt;     * Academic papers published in the area of machine learning in the top machine learning journals&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

CCB-Risk Card Line and Pricing Machine Learning Data Scientist/Modeler - Senior Associate

The Card Strategic Insights Team is responsible for working across our credit card organization to develop and execute data science and analytical solutions to advance our marketing, product, and channel strategies. This role will be a key member of the analytics team responsible for managing portfolio analytics to drive Card marketing programs including retention, Card mobile expansion, EMOB and Embedded Payment. They will develop AI/ML-based business solutions to support Card top priorities. The role requires strong analytic &amp; problem-solving skills, superior communication skills, and leverage sound judgment to effectively work in a fast pace and dynamic environment. Additionally, they must possess the ability to work with and synthesize large amounts of data into actionable analysis and provide a point of view to senior leadership.&lt;p&gt;Key responsibilities will include:&lt;p&gt; Owns end-to-end portfolio analytics to drive one or two of the Card marketing programs that the team supports, including designing targeting and offer strategies, providing new test design recommendations, evaluating campaign success, and conducting proactive advance analytics to consistently enhance the existing strategies.&lt;p&gt; Provide thought leadership on &#x27;big-idea&#x27; strategic projects and how to leverage advanced analytics AI/ML techniques to generate actionable business insights and/or solutions; be able to complete and manage complex analytical projects end to end.&lt;p&gt; Effectively prioritizes and delivers a portfolio of high impact initiatives and negotiates priorities and organizes resources to meet commitments&lt;p&gt; Partners closely with business customers to identify impactful projects, influence key decisions with data, and ensure client satisfaction&lt;p&gt; Delivers scalable and sustainable new analytic capabilities &amp; automation solutions that unlock value and provide efficiency&lt;p&gt; Builds strong communications that effectively convey analytical findings and recommended actions in such a way that effectively influences senior executives&lt;p&gt; Develops the team and contributes to a positive and inclusive culture and employee experience&lt;p&gt; Helps to supervise and coach junior analysts when needed&lt;p&gt;Qualifications&lt;p&gt; Bachelors degree in relevant quantitative field required (e.g. Statistics, Applied Economics, Applied Math, Operations Research, Physics, Data Science, or related fields); Advanced degree in quantitative field preferred&lt;p&gt; 5+ years of industry experience in business analytics roles (e.g., marketing analytics, product analytics, business insights) or data science&lt;p&gt; Experience across broad range of data science and analytics platforms, languages, and tools (SAS, SQL, Spark, Python required, Tableau, Alteryx, Hadoop preferred)&lt;p&gt; Excellent communicator who&#x27;s able to convey complex information in an understandable, compelling, and persuasive manner to senior executives&lt;p&gt; Thought leader in analytics and/or data science who can help our internal clients define their business problem, create solutions to address it, plan and execute the implementation&lt;p&gt; Expert knowledge in quantitative methods for business and advanced data science&lt;p&gt; Financial services especially Credit Card experience strongly preferred&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

You will be responsible for maintaining and implementing data models. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to support our clients. You will work closely with risk modelers and data engineers to support and implement high-quality, data-driven risk and finance data solutions. You will use advanced data modeling and analytical techniques&lt;br&gt;     * Experience with ERwin is preferred&lt;br&gt;     * Collaborate with key stake holders during the project to determine size, scope and requirements of the project&lt;br&gt;     * Analyze business and data requirements, profile and analyze data.&lt;br&gt;     * Design and develop holistic solutions&lt;br&gt;     * Aligning solutions/models to target state architecture&lt;br&gt;     * Ensure data is not duplicated, appropriate integration of data, with considerations for performance and storage.&lt;br&gt;     * For large programs, create conceptual data models - documenting business entities and relationships, process flows and interactions.&lt;br&gt;     * You will learn to build logical data models - represents the business as domains, their characteristics and how they relate in common business terminology.&lt;br&gt;     * You will learn to build physical data models (ODS and dimensional) - is the implementation of a logical model specific to a particular database management system (DBMS). database specific limitations and restrictions are enforced, physical naming standards and firm wide standards are enforced.&lt;br&gt;     * Experience working with the data management group and application development teams to review and model SOR System of Record (SOR) files in the current ecosystem.&lt;br&gt;     * Work with firm wide data review board to get the logical and physical data models and other key artifacts certified for consumption.&lt;br&gt;     * Strong experience with various RDBMSs/MPP systems/Big Data platforms&lt;br&gt;          + Good to have Teradata, Hadoop (Hive) experience and VLDB experience&lt;br&gt;     * Financial industry experience is a plus&lt;br&gt;     * Training and mentoring junior staff members&lt;br&gt;     * Provide ongoing support for the above work.&lt;p&gt;JPMorgan Chase &amp; Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&#x27;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Software Engineering/Data Modeler

Data Scientist Associate, Card Strategic Insights&lt;p&gt;The Card Strategic Insights Team is responsible for working across our credit card organization to develop and execute data science and analytical solutions to advance our marketing, product, and channel strategies. The successful candidate will be a key member of the analytic team responsible for driving competitive insights and developing proactive insights across card services.&lt;p&gt;The Data Scientist in this role will:&lt;br&gt;     *&lt;br&gt;     * Own the end-to-end competitor &amp; industry insights and understands their impacts to our business&lt;br&gt;     * Drive Machine Learning based insights&lt;br&gt;     * Interpret analytic results and present to stakeholders and senior management&lt;br&gt;     * Partner with marketing strategy managers to optimize campaigns and develop new strategies&lt;br&gt;     * Continuously develop skills to provide best-in-class analytics to the business&lt;p&gt;Minimum Qualifications:&lt;br&gt;     * Bachelor&#x27;s and Master&#x27;s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)&lt;br&gt;     * 1-2 years of experience in applying statistical methods to real world problems&lt;br&gt;     * 1-2 years of experience with SQL, SAS, and Python&lt;br&gt;     * Some experience with visualization techniques for data analysis and presentation (Tableau preferred)&lt;br&gt;     * Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners&lt;p&gt;Candidates who will be successful in this role will be:&lt;br&gt;     * Intellectually curious and eager to learn new things with an eye towards innovation&lt;br&gt;     * A strategic thinker with the ability to focus on business goals&lt;br&gt;     * Excellent at solving unstructured problems independently&lt;br&gt;     * Highly organized and able to prioritize multiple tasks&lt;br&gt;     * A strong communicator and able to build relationships with key stakeholders&lt;p&gt;Chase is a leading financial services firm, helping nearly half of America&#x27;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.&lt;p&gt;We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants&#x27; and employees&#x27; religious practices and beliefs, as well as any mental health or physical disability needs.&lt;p&gt;Equal Opportunity Employer/Disability/Veterans&lt;/p&gt;

Data Scientist Jobs in Wilmington