Data Scientists specializing in Advanced Analytics develop and implement sophisticated data models and data collection systems for banking supervision. They apply advanced data analytics techniques and tools to optimize statistical efficiency and quality. The role involves analyzing bank risk profiles, creating early warning systems, and providing advanced analytical solutions to support policy formulation and banking system stability.

Interpret data and analyze results using advanced statistical techniques, preparing analytical and research reports related to the banking system. Assess and understand the risk profiles of individual banks by analyzing offsite returns to support the risk discovery process. Develop and implement data models, data collection systems, and analytics frameworks that enhance statistical efficiency and quality. Acquire, clean, and validate data from primary and secondary sources to ensure accuracy, reliability, and completeness. Maintain and manage databases or data analysis systems to support continuous monitoring and decision-making. Utilize data from bank-submitted returns and market sources to identify key indicators for early warning signal detection and policy formulation. Ensure compliance with data privacy, security, and governance standards in all analytical and reporting processes. Analyze complex data elements, system structures, data flows, dependencies, and interrelationships to support risk and performance assessments. Undertake any other tasks or assignments entrusted by the Bank from time to time.

Essential: Post Graduate Degree in Economics / Statistics / Mathematics / Data Science; or PGDBA or PGPM or MBA (with Finance specialization) Or 'B.E. / B.Tech / M.E. / M.Tech' in Computer Science; or MCA. Desirable: CFA / FRM (GARP) / PRM / Diploma or PG diploma in Data Science /AI & ML. Essential: Minimum 5 years of experience in data handling using Python, R for data analytics, visualization, statistical programming, data mining & Natural language processing (NLP) to manage relevant risk in commercial banks / large financial companies / financial services organisations. Definition of Large Financial Company: Based on business size, systemic importance, and diversified portfolio, entities such as banks and NBFCs (Upper and Middle layer registered with RBI. Desirable: Commercial banking experience / working experience with a Consultancy firm in financial risk domain / knowledge of IT infrastructure / data ingestion techniques.