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Tier-1 Big Four brand, mid-level generalist analytics role, metro location and in-demand skillset increases competition.
Role requires consumer credit risk domain knowledge, limiting transferability across industries.
Explicit years requirement, mandatory credit risk experience and SQL/SAS skills increase selection strictness.
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Support credit card portfolio risk management via data-driven analysis and performance monitoring.
Conduct acquisition risk analysis, credit policy evaluation, and model performance tracking with growing ownership over analytical modules.
Prepare risk dashboards, support risk governance documentation, and contribute to risk review forums.
2 to 4 years of experience in credit card risk analytics, consumer lending, or financial analytics.
Bachelor's or Master's degree in business, Statistics, Finance, Economics, or related quantitative fields; B.Tech or B.E. specified.
Strong working knowledge of SQL/SAS; Python experience preferred.
Experience with large datasets and data visualization tools like Tableau or PowerPoint.
Experienced in unsecured loan risk analysis with a good understanding of consumer credit risk fundamentals.
Comfortable interpreting data, challenging analyses, and supporting risk-based decision making under minimal supervision.
Skilled at producing clear communication and working collaboratively in team environments focused on credit risk analytics.