Credit Risk, Python, SQL, Banking domain
Experience: 4 + Years
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 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
- Design, analyze and monitor collections and recovery strategies to reduce delinquencies
- 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 SQL & Python
- 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, SQL & Python (SQL is must)
- 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
