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Tier-1 brand, metro location, and mid-level analytics role increase applicant competition.
Credit risk strategy and validation duties require domain expertise, limiting cross-industry transferability.
Explicit 4+ years and domain-specific analytics expectations enforce moderate screening.
Lead or participate in moderately complex risk analytics initiatives, including data aggregation, forecasting, reporting, and programming models related to credit risk.
Own and execute data validation, sampling, quality checks, and model documentation ensuring compliance with risk reporting policies and governance.
Provide independent review and challenge of consumer credit decision strategies, monitor credit portfolios, and deliver actionable insights to mitigate credit risk and optimize portfolio performance.
Minimum 4+ years of Risk Analytics experience or equivalent through work experience, training, education, or military experience.
Proficiency in SAS and SQL programming with experience handling large-scale databases like Teradata and Oracle.
Working knowledge of Artificial Intelligence (AI) and Generative AI technologies/tools.
Work Experience Required: Minimum 4+ years in Risk Analytics. Notice period: Not explicitly mentioned in the JD.
Experience with consumer credit products including Credit Cards, Personal Loans, Mortgages, and Small Business Lending with knowledge of credit lifecycle.
Proven ability to assess credit risk strategy effectiveness, validate business rules, identify risks, control gaps, and deliver strategy monitoring and validation.
Strong analytical skills with experience communicating complex risk insights to senior stakeholders and collaborating cross-functionally in risk analytics teams.