Data Scientist - Retail Banking

ROLE SUMMARY:

- This role will be part of Analytics team which is a one stop team for all Analytics led solutions across all retail business units for the bank

KEY RESPONSIBILITIES/ ACCOUNTABILITIES :

Strategic/ Managerial Responsibilities:

- Thought leader with ability to find business solutions using analytics.

- Ability to drive the Analytics team to newer age technologies leveraging the power of big data.

Core Responsibilities : 

- Ability to understand complex business problems, end to end hands on experience in analytics- including collecting, pulling and preparing data, building statistical models using SAS, R or other statistical tools and generating insights to synthesize a complete, cohesive picture. Use advance analytical skillset like ML, Nerual network and other methods to get better

People Management or Self-Management Responsibilities : 

- Pro- actively working with Product/ Risk/ Marketing team to drive business strategies

- Working with the Analytics team to drive new tools and techniques

Risk and Internal Control Responsibilities :

- Knowledge of statistical modelling

KEY INTERACTIONS :

- Key Internal Interactions Purpose of Interaction

- Business Banking Product & Sales team. Create eligibility and monitoring framework for cross sell, Portfolio deepening and attrition control solutions

- Business Banking Risk Team Tracking delinquency trends, enabling risk/policy team to take corrective measure. Developing application scores & behavioral scores

- Analytics Sound knowledge of various models and analytical approaches

- Business Banking CAD Team Working closely with operations & account opening teams

- Operational Risk and Legal Team Ensuring all frameworks are within the ambit of legal & compliance frameworks

Key External Interactions/Purpose of Interaction :

- Bureaus [CIBIL/Experian] Working closely with Bureaus to develop & enhance risk tracking mechanisms, Industry reports, Policy enablements