JD - Credit Risk Strategy: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)
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