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<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Job Summary</b></H2> </div><div><p><span style="">The individual will be part of the AAIOps team, responsible for shaping a state-of-the-art ecosystem(in terms of tools, technology and datamart) for data, analytics & AI roles within SCMAC while aligning with wider SCB tech simplification effort. The individual will play a crucial part in operationalizing AI/ML models or other analytical pipeline at scale, ensuring efficient and reliable deployment across diverse environments.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Key Responsibilities</b></H2> </div><div><p><span style="">Its responsibilities entail:</span><br><span style="">• Responsible for creation, maintenance, and successful execution of a machine learning operation & delivery (MLOps) ecosystem for the continuous delivery of AI artifacts (models, analyses, and predictions) developed by the SCMAC BA CoE, to WRB markets and to WRB digital solutions.</span><br><span style="">• Collaboration with a wide range of stakeholders including data scientists (SCMAC BA CoE), business analysts, governance, architect and software engineers (Enterprise Technology, CDO and WRB CIO Data Engineering teams) on the delivery of a fit-for-purpose big data ecosystem for building Financial Crime AI (ML/Gen AI) solutions in SCMAC BA CoE.</span><br><span style="">• Use advance analytics, ML and AI for the identification and prevention of bad actors in the WRB customer portfolio (i.e., money mules, fraud, scams)</span><br><span style="">• Develop real-time, scalable Data Science solutions together with the Financial Crime team deployable across different domains</span><br><span style="">• Support the continuous improvement of the tools, technology, and data ecosystem available for all data roles in the SCMAC BA CoE.</span><br><span style="">• Implement best practices for version control, testing and CI/CD in ML pipelines</span><br><span style="">• Stay updated on emerging technologies and trends in MLOps, advanced AI (Gen AI) and cloud-based data and analytics platforms (Databricks, Dataiku).</span><br><span style="">• Responsible for developing amd maintaining robust data workflows and pipelines using python and pyspark to process and analyze large-scale datasets to adopt new data feeds and feature stores, and in particular – incorporating our WRB unified data model (Athena) to reduce latency and improve the quality of data artifacts.</span><br><span style="">• Ensure solutions adhere to SCB’s model, risk, compliance and responsible AI standards.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"></H2> </div><div><p><strong><span style="">Strategy</span></strong><br><span style="">• The individual will be part of the AAIOps team, responsible for shaping a state-of-the-art ecosystem(in terms of tools, technology and datamart) for data, analytics & AI roles within SCMAC while aligning with wider SCB tech simplification effort. The individual will play a crucial part in operationalizing AI/ML models or other analytical pipeline at scale, ensuring efficient and reliable deployment across diverse environments. </span></p> <p><strong><span style="">Business</span></strong><br><span style="">• Responsible for creation, maintenance, and successful execution of a machine learning operation & delivery (MLOps) ecosystem for the continuous delivery of AI artifacts (models, analyses, and predictions) developed by the SCMAC BA CoE, to WRB markets and to WRB digital solutions.</span><br><span style="">• Collaboration with both data scientists (SCMAC BA CoE) and software engineers (Enterprise Technology& WRB CIO Data Engineering teams) on the delivery of a fit-for-purpose big data ecosystem for building AI solutions in SCMAC BA CoE, transitioning from proprietary technology (SAS) to open-source technologies.</span><br><span style="">• Support the continuous improvement of the tools, technology, and data ecosystem available for all data roles in the SCMAC BA CoE.</span><br><span style="">• Implement best practices for version control, testing and CI/CD in ML pipelines</span><br><span style="">• Stay updated on emerging technologies and trends in MLOps, advanced AI (Gen AI) and cloud-based data and analytics platforms (Databricks, Dataiku).</span><br><span style="">• Responsible for developing robust data workflows and pipelines using python and pyspark to process and analyze large-scale datasets to adopt new data feeds and feature stores, and in particular – incorporating our WRB unified data model (Athena) to reduce latency and improve the quality of data artifacts.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"></H2> </div><div><p><strong><span style="">Processes</span></strong><br><span style="">• Continuously improve the operational efficiency and effectiveness of processes</span><br><span style="">• Ensure effective management of operational risks within the function and compliance with applicable internal policies, and external laws and regulations</span></p> <p><strong><span style="">People & Talent </span></strong><br><span style="">• Collaborate with the team members on their work for better quality and accuracy </span><br><span style="">• Be able to work in agile fashion with other teams and support development /implementation of the solution</span><br><span style="">• Contribute towards training sessions for knowledge management</span><br><span style="">• Driving an environment of collaboration, both within CPBB Banking and across the wider Group, to ensure issues are raised and blockages are resolved in a timely manner </span></p> <p><strong><span style="">Risk Management </span></strong><br><span style="">• Interpret the Group’s financial information, identify key issues based on this information and put in place appropriate controls and measures</span><br><span style="">• Ensure data security and data sharing in secured way through SharePoint in password protected files</span></p> <p><strong><span style="">Governance </span></strong><br><span style="">• Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"></H2> </div><div><p><strong><span style="">Regulatory & Business Conduct </span></strong><br><span style="">• Display exemplary conduct and live by the Group’s Values and Code of Conduct. </span><br><span style="">• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.</span><br><span style="">• Lead the WRB to achieve the outcomes set out in the Bank’s Conduct Principles.</span></p> <p><strong><span style="">Key stakeholders</span></strong><br><span style="">• Group/Region Analytics teams</span><br><span style="">• Group / Region/Country Product & Segment Teams</span><br><span style="">• Group / Region / Country Channels/distribution</span><br><span style="">• Group / Region / Country Risk Analytics Teams</span><br><span style="">• Group / Regional / Country Business Teams</span><br><span style="">• Support functions including Finance, Technology, Analytics Operation</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Skills and Experience</b></H2> </div><div><p><span style="">• Big Data Management and Analytics </span><br><span style="">• Big Data Computing</span><br><span style="">• Logical Data Modelling</span><br><span style="">• Understanding of analytics lifecycle</span><br><span style="">• Data Science (Data understanding, feature engineering, model development etc.)</span><br><span style="">• DevOps</span><br><span style="">• Data Engineering</span><br><span style="">• AI/ML </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Qualifications</b></H2> </div><div><p><span style="">• Bachelor's degree in computer science, information systems, engineering or data science</span><br><span style="">• Proficiency in Python and PySpark for both data processing and engineering tasks</span><br><span style="">• Knowledge of Azure DevOps (ADO)</span><br><span style="">• Understanding of machine learning concepts, model lifecycle management, model deployment processes.</span><br><span style="">• Experience in warehousing, ELT/ETL processes, SQL.</span><br><span style="">• Problem solving and Analytical Thinking</span><br><span style="">• Familiarity with Analytics Platforms like Dataiku, Databricks.</span><br><span style="">• Familiarity with Big data ecosystem and cloud computing</span><br><span style="">• Familiarity with cloud platforms like AWS, Azure, GCP</span><br><span style="">• Understanding of analytical and statistical methods</span><br><span style="">• Understanding of MLOps, LLMOPs pipelines.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>About Standard Chartered</b></H2> </div><div><p>We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.</p> <p>Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.</p> <p>Together we:</p> <ul> <li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li> <li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li> <li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>What we offer</b></H2> </div><div><p><b>In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</p> <ul> <li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li> <li><b>Time-off</b> including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.</li> <li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li> <li><b>Proactive wellbeing support</b> through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits</li> <li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li> <li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li> </ul></div></div></div>

Manager, Data Science (Bangalore, IN)