Job Description: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 stakeholdersCollaborate across other risk functions (example – technology, product, etc.) to implement the analytical decisionsUnderstand existing underwriting rules, strategies and replicate them in business rules using SAS/SQLDesign and analyze income, employment, fraud verification strategiesDevelop, maintain and improve risk policies, strategies, processes and procedures within the assigned functionUtilize application, bank and bureau information to derive business insightsKPI generation, tracking of risk and delinquency metrics for portfolios using SQL/TableauRevamp pricing strategy changes and launch A/B test to monitor impact and performance of the changeSet up the process to run eligibility conditions for marketing campaigns such as cross – sell, etc.Requirements :Knowledge of and certifications in programming, SAS/SQL/PythonKnowledge of best practices in coding, data manipulation and creating re-usable artifactsKnowledge 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 strategyExperience 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 successUnderstanding of various elements of risk strategy, such as eligibility, verification, fraud and decline criteriaAbility to communicate and present the results to business stakeholdersGood knowledge of designing, implementing, and measuring statistically valid experiments (mainly A/B tests)
