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Tier-1 brand, mid-level analytics role, and metro hiring increase applicant competition.
Requires consumer credit product knowledge and regulatory banking expertise, limiting cross-industry transferability.
Explicit 4+ years, mandatory credit-risk domain expertise and SAS/SQL/Python/database skills create strict shortlisting.
Lead or participate in moderately complex risk analytics initiatives, delivering insights and decision strategies in credit risk.
Manage process production, data reconciliation, model documentation, and ensure compliance with risk reporting policies and regulatory requirements.
Collaborate with cross-functional teams to resolve modeling and forecasting issues, lead projects and teams, and mentor junior staff.
Minimum 4 years of Risk Analytics experience or equivalent through education, training, or relevant experience.
Proficiency in SAS and SQL programming with experience in large-scale databases like Teradata and Oracle.
Experience with credit risk strategy development, validation, monitoring, and testing.
Knowledge of consumer credit products and credit lifecycle (Credit Cards, Personal Loans, Mortgages, Small Business Lending).
Strong technical skills in data extraction, analysis, validation, and visualization using tools like Power BI, Tableau, Python, and Excel.
Ability to independently review and challenge credit decision strategies and provide actionable insights to support portfolio performance and risk mitigation.
Experience working in collaborative environments involving compliance, risk analysts, and technology teams for modeling and risk strategy execution.