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Protocol Intelligence
Data-driven signals on your job's competitivenessRecognizable brand, metro Pune location, and mid-level data role yield moderate competition.
Domain-specific credit risk and lending expertise required limits transferability across industries.
Explicit 6+ years, credit risk modeling requirements, and mandatory Python/R/SQL increase screening rigor.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end credit risk analytics and modeling projects including design, implementation, and ongoing monitoring of predictive models and scorecards.
Collaborate with clients and stakeholders to analyze business challenges and deliver data-driven credit risk and portfolio management solutions.
Manage multiple workstreams to ensure timely, high-quality delivery and contribute to proposal creation and knowledge sharing.
Minimum Requirements
Bachelor’s or Master’s degree in a STEM discipline.
6+ years of experience in analytics and credit risk modeling including scorecard development, validation, and portfolio analytics.
Proficiency in Python, R, SQL, or similar analytical tools with ability to handle large datasets and apply statistical techniques.
Hybrid work model requiring in-person presence at assigned office minimum two days a week.
Ideal Candidate Profile
Experience working in analytics consulting serving banking, financial services, fintech, or lending sectors with client-facing roles translating business problems into analytical solutions.
Strong understanding of lending products like credit cards, personal loans, auto loans, mortgages, or SME lending with hands-on exposure to credit risk strategy analytics.
Demonstrated ability to manage multiple analytics projects concurrently and contribute to team capability development and process automation initiatives.