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Tier-1 bank, mid-level analytics role in Bangalore with broad tooling and mid experience attracts high applicant competition.
Deep credit risk and regulatory knowledge makes background fit sensitivity high across industries.
4+ years, domain expertise, and mandatory analytics/tool skills enforce high shortlisting strictness.
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Lead and deliver moderately complex risk analytics initiatives, including data aggregation, forecasting, reporting, and model documentation in line with policy governance.
Manage process production, data reconciliation, and resolve modeling, forecasting, and production issues while complying with regulatory and risk reporting policies.
Lead projects and teams, mentor junior staff, collaborate with cross-functional risk analysts, and develop predictive strategies and monitoring frameworks for credit risk and collections functions.
4+ years of Risk Analytics experience (including work experience, training, military experience, education).
Experience with credit risk analytics in areas such as credit strategy, modeling techniques, forecasting, or data management.
Proficiency in programming/statistical packages such as SAS, SQL, VBA, Macros, R, Python, E-miner, Tableau, or SAS Visual Analytics.
Advanced understanding of credit, risk domain, and risk reporting policies, with ability to build statistical and machine learning models (e.g., Random Forest, Decision Trees, Segmentation, Time-series).
Experienced in leading moderately complex, moderate to high risk projects within credit risk analytics and capable of mentoring junior analysts.
Skilled in building and implementing predictive risk models and monitoring frameworks, with ability to influence strategic decisions and coordinate with multiple stakeholders.
Strong in both hands-on analytics execution and cross-functional collaboration to align risk strategies with business objectives and regulatory compliance.