Brief Description of position:

Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle – acquisition, portfolio management and collections, across retail lending products.

Responsibilities :

• Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc.
• Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders
• Collaborate across other risk functions (example – technology, product, etc.) to implement the analytical decisions
• Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL
• Design and analyze income, employment, fraud verification strategies
• Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function
• Utilize application, bank and bureau information to derive business insights
• KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau
• Revamp pricing strategy changes and launch A/B test to monitor impact and performance of the change
• Set up the process to run eligibility conditions for marketing campaigns such as cross – sell, etc.

Requirements :

• Knowledge of and certifications in programming, SAS/SQL/Python
• Knowledge of best practices in coding, data manipulation and creating re-usable artifacts
• Knowledge of Banking / Financial Services Industry with preference in lending space (Personal Loans, Credit Cards, Auto loans etc.)
• Ability to create recommendations and insights from data for developing risk strategy
• Experience with creating and utilizing credit risk datamarts using internal and third party data (Experian, FICO, etc.)
• Ability to design the right KPIs for measuring strategy success
• Understanding of various elements of risk strategy, such as eligibility, verification, fraud and decline criteria
• Ability to communicate and present the results to business stakeholders
• Good knowledge of designing, implementing, and measuring statistically valid experiments (mainly A/B tests)