Fraud Analytics and Innovation Senior Analyst - Digital Fraud & Scam
Newark
- Pay
$100,000–133,600/year — pay source
Pay range $100,000.00 - $133,600.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingEvaluate data to assess potential fraud risk and design mitigation strategies
Build and develop logic for fraud strategies
Propose strategy and policy changes within segmentation structures
Lead project scope for fraud requirements, testing, and strategy development
Lead coordination of product performance reports for senior management
From the employer’s posting
Evaluates data to assess potential fraud risk and creating mitigation strategies.
Build and develop logic for strategy.
Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.
Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies.
Leads the coordination of the production of product performance reports and updates for senior management.
What you’ll bring
All qualificationsCore experience
- Proficiency in SAS or SQL and Excel
- Strong quantitative, critical thinking, and analytical skills
- Ability to communicate with executive-level personnel
Preferred experience
- Payment background preferred
- 3+ years of fraud experience
Qualification wording
Proficient in SAS or SQL and Excel
Strong quantitative, critical thinking, and analytical skills
Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
2+ years of analytical experience (Payment background preferred)
3+ years of fraud experience
Education & alternatives
- 3+ years of fraud experience - Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business - Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
Tools in this posting
- SAS
- SQL
- Excel
- Tableau
Source — Tool mentions in context
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies. Responsible for performing more complex analysis and strategy development for multiple money movement products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures.
- Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance. - Utilizes a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met. - Evaluates data to assess potential fraud risk and creating mitigation strategies.
- 2+ years of analytical experience (Payment background preferred) - Proficient in SAS or SQL and Excel - Strong quantitative, critical thinking, and analytical skills
Benefits in the posting
Full benefits wording- This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 14, 2026 · 15 days ago
- Recorded sightings
- 52
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Summary:
This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.
Responsible for performing more complex analysis and strategy development for multiple money movement products with the goal of maximizing profits and asset growth and minimizing risk and operating losses and/or other financial and marketing exposures.
Responsibilities:
- Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance.
- Utilizes a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met.
- Evaluates data to assess potential fraud risk and creating mitigation strategies.
- Proposes policy/procedural changes within segmentation structures to produce optimal results.
- Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs.
- Leads the coordination of the production of product performance reports and updates for senior management.
- Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data.
- Support biometrics capability enhancements and strategy design.
- Build and develop logic for strategy.
- Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.
- Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies.
- Excels at risk/reward trade off.
- Participates in the rollout of leading-edge machine learning technology.
- Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors.
Required Qualifications:
- 2+ years of analytical experience (Payment background preferred)
- Proficient in SAS or SQL and Excel
- Strong quantitative, critical thinking, and analytical skills
- Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
- Ability to work independently as well as part of a virtual team
- Innovative mindset with the ability to challenge the status quo
- Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Desired Qualifications:
- 3+ years of fraud experience
- Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
- Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
- Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
Skills:
- Business Analytics
- Business Intelligence
- Data Quality Management
- Fraud Management
- Monitoring, Surveillance, and Testing
- Collaboration
- Data Visualization
- Oral Communications
- Problem Solving
- Written Communications
- Analytical Thinking
- Critical Thinking
- Data and Trend Analysis
- Innovative Thinking
- Research
Shift:
1st shift (United States of America)Hours Per Week:
40Pay Transparency details
US - IL - Chicago - 110 N Wacker Dr - Bank Of America Tower Chicago (IL4110)Pay and benefits informationPay range$100,000.00 - $133,600.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay range $100,000.00 - $133,600.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible
- Location & working pattern
Newark
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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