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Tier-1 brand, mid-level generalist analytics role, metro location create high applicant density.
Role's consumer-credit risk focus and regulatory requirements limit cross-industry transferability.
Job mandates 5+ years risk analytics plus SAS, SQL/Python and BI, making filters strict.
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Lead complex analytics initiatives involving business analysis, modeling, and cross-functional data aggregation for stress testing and portfolio analysis within Consumer Credit Risk.
Review and analyze complex programming models to extract data and develop statistical and financial models specific to consumer lending and deposit businesses.
Manage rollout of pilot programs from modeled strategies and make decisions influencing product strategies, regulatory compliance, and risk exposure.
Minimum 5+ years of Risk Analytics experience or equivalent via work, training, or education.
Hands-on experience with SAS and SQL/Python required.
Strong verbal and written communication skills required.
Experience using Power BI or Tableau for data visualization.
Deep knowledge of Consumer lending and banking products, clients, industry dynamics, and organizational structure.
Capable of independently managing multiple complex workstreams in a fast-paced, dynamic environment.
Experienced in leading projects, mentoring teams, and collaborating across seniority levels to resolve regulatory and production issues.