AVP- Risk Modeling (Risk Analytics) (6-11 yrs)
Role & responsibilities:
- Define & enforce modelling standards, pipelines & guardrails across all credit risk models
- Ensure consistency & comparability of models across products, vintages & segments
- Design & optimize model refresh & execution workflows to improve throughput
- Govern auto ML usage, including constraints, validation logic & stability checks
- Identify & resolve cross-model inconsistencies & hidden risk build-up
- Ensure models meet validation, audit & regulatory expectations
- Partner with senior DS, DS & junior DS to improve module reuse & execution efficiency
- Mentor teams on best practices, validation expectations, & robust modelling approaches
- Act as a technical bridge between modelling teams, validation & stakeholders
Desired Candidate Profile:
- Education: Bachelors/Masters degree in a quantitative or technical discipline(Economics, Statistics, Data Science, Computer Science, Finance, Engineering)
- Experience: 6-11 years of experience in credit risk modelling or regulated analyticsenvironments, and exposure to AI-driven decision systems. Experience across end-to-end model lifecycle (build -> validate -> deploy -> monitor -> refresh)
Expertise:
- Strong hands-on experience with bureau, behavior and/or cash-flow models
- Deep understanding of model stability, population drift & lifecycle management,validation metrics & regulatory expectations
- Proficient in Python, SQL & hands-on experience with data processingframeworks & ML libraries
- Proven ability to design scalable modelling systems, pipelines, & reusable components
- Demonstrated ability to translate AI models into scalable business impact not justanalytics for insight, but AI for decisioning.
- Strong communication skills with ability to simplify complex modelling concepts
- Passion for building AI-first teams and ecosystems that challenge traditional creditthinking
Why this role matters:
- This is a rare opportunity to sit at the intersection of credit, AI, and business strategy.
- You will not only manage risk - you will redefine how risk is managed using data, algorithms, and human judgment.
Your work will directly influence how we:
- Use AI to enhance credit intelligence and underwriting precision
- Automate risk operations and reduce turnaround time
- Build trustworthy and transparent AI systems that regulators and customers can rely on
- Create a scalable, intelligent risk engine for the next decade of secured lending
Join us if you want to lead Indias next wave of AI-powered risk innovation.
Industry Type: NBFC
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
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