Assistant Manager managing brand marketing and risk management analytics for loan products. Responsibilities include designing credit risk strategies and collaborating with stakeholders in the banking industry.
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
Minimum bachelor's degree
Knowledge of and certifications in programming, 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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