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Tier-1 brand, metro location, and mid-level (4-6 years) experience increase candidate competition.
Role demands credit risk and fintech domain expertise, limiting cross-industry transferability.
Explicit 4-6 years plus mandatory SQL/Python and modeling skills creates strict shortlisting filters.
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Develop and execute risk strategies and build risk models to manage fraud and credit risk for the lending business.
Mentor risk analysts to deliver accurate analysis, models, and policy implementation at a high pace.
Collaborate with cross-functional teams to evaluate alternate data sources, communicate recommendations, and continuously improve risk solutions.
BTech/BE degree from Tier-I or II colleges.
4-6 years of relevant experience in Risk Analytics, preferably in Fintech.
Proficiency in SQL, Python, and MS Excel.
Experience with statistical modeling techniques such as Decision Trees and XGBoost preferred.
Strong technical background with the ability to understand business implications of risk analytics work.
Ability to communicate effectively and work collaboratively in a dynamic, fast-paced environment.
Experience creating and owning risk management processes independently, balancing data-driven insights with business goals.