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Strong Tier-1 brand, metro location, popular ML/data role, and generalist skill requirements increase applicant competition.
High because credit acquisitions and risk modelling require domain-specific regulations, data, and business knowledge.
Medium because credit-risk domain expertise, specific tools (Python/SAS/SQL), and leadership expectations are sought.
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Own end-to-end data processes including collection, cleaning, transformation, and development of automated data pipelines.
Design, develop, and implement statistical and machine learning models to analyze data patterns and build predictive models for forecasting and risk identification.
Lead or collaborate with teams and business stakeholders to drive data-driven insights that inform strategic decisions in credit acquisition and risk management.
Proficiency in Python, SAS/SQL, AI tools, PowerPoint, and Excel.
Analytical experience in financial services; credit card acquisitions experience preferred.
Work Experience Required: Not explicitly mentioned in the JD.
Role is based in Gurugram office and requires ability to work with multiple stakeholders and manage projects.
Experienced in credit risk management or financial services analytics, preferably with retail point-of-sale and equal pay loan segments.
Strong technical and statistical skills with capability to handle large data sets and generate actionable insights.
Able to communicate complex information effectively and influence cross-functional stakeholders in a fast-paced, dynamic environment.