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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