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Tier-1 brand and metro location increase competition, but senior specialized 10+ years requirement moderates applicant density.
Deep credit risk, regulatory, and banking experience limits transferability across industries.
Explicit 10+ years, mandatory credit risk modeling, regulatory experience, and SAS skills enforce strict shortlisting.
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Lead credit risk strategy development and implementation for consumer and commercial lending portfolios, focusing on credit risk and collection policy optimization.
Direct a credit analytics team to integrate data sources and analytical tools (including SAS) to enhance risk assessment and straight-through processing in a digital environment.
Prepare risk management reports for senior management and identify emerging portfolio risks to ensure policy compliance and portfolio health.
10+ years of experience in credit risk management within financial services, including quantitative analysis, statistical modeling, and credit scoring model management.
Degree required in Economics, Finance, Statistics, or Applied Mathematics.
Proficiency in statistical/econometric programming tools like SAS, SQL, Python, or STATA.
Experience working in regulatory and compliance policy environments.
Experienced leader capable of managing and mentoring analytics teams while driving strategic initiatives in credit risk and portfolio management.
Strong communicator able to present complex analytical findings effectively to both technical and non-technical senior stakeholders.
Demonstrates deep understanding of regulatory compliance and credit policy impact on lending strategy, skilled at balancing risk and business growth objectives.