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Tier-1 brand, mid-level generalist role, metro location, and broad analytics stack increase applicant competition.
Function-specific credit risk expertise and bureau familiarity limit cross-industry transferability.
Explicit 5–8 years, mandatory portfolio risk experience and technical stack make filters stringent.
Develop and deploy analytical solutions to provide data-driven insights for lending business decision making.
Monitor, analyze, and optimize lending portfolios for consumer and merchant products.
Design and refine risk strategies, including stress testing, loss forecasting, and scenario planning, to support risk-adjusted business growth.
5 to 8 years experience in portfolio risk management within Fintech, Banks, or NBFCs.
Proficiency in SQL, Python, R, Pyspark required.
Familiarity with credit risk tools including Bureau data, Alternate Data, Scorecards, Digital Lending APIs and BI tools like Tableau, Looker, or Metabase.
Work Experience Required: 5 to 8 years in portfolio risk management.
Experienced in managing credit risk portfolios with demonstrated ability to translate complex data into actionable business recommendations.
Skilled in advanced analytics and machine learning applications in credit risk modeling.
Able to collaborate effectively with business stakeholders and partners to integrate risk strategy into product growth and collections efforts.