Manager-Data Science

Function Description: Manager – Agentic Risk Purpose of the role The incumbent would be part of the Agentic Risk Modeling team reporting into Director – Agentic Risk Modeling and will lead a team of risk management professionals. The incumbent is expected to provide thought leadership and manage Agentic Risk decision science initiatives involving developing, documenting & implementing state-of-the-art ML Agentic risk prediction models, regularly tracking the performance of these models along with doing case reviews to identify innovative data science opportunities.

Specific responsibilities would include: Develop, document & implement models to capture Agentic risk. Be extremely diligent & regular in tracking the performance of the model on an ongoing basis & propose corrective actions in a timely manner. Partner with Business Strategy, MRMG, RPDS teams to ensure that models are continuously enhanced & stay world-class.

Maintain a disciplined process of reviewing cases to identify new modeling opportunities. Evaluate new data sources - internal and external, as well as new variables designed from extensive case reviews for their efficacy in models and business strategies. Be on a continuous look-out for identification of gaps in today’s modeling process & propose / recommend solutions to solve for those gaps and make existing solutions more robust.

Provide people and thought leadership for Band 30s. Past Experience: 3 or more years of Relevant/Related Work Experience in Credit & Fraud Risk with Demonstrated Track Record of Strong Performance. Academic Background: Post Graduate Degree in Management / Statistics / Mathematics / Economics / Engineering from a reputed institute.

Technical Skills/Platform Knowledge: Proficiency in programming with Python, Py. Spark, SQL on Big. Query, Hive Terminal, MLS Knowledge of platforms systems like Lumi, Cornerstone, CAS, AMP, etc. Preferred

• Experience in working with Gen AI applications.