Senior Risk Analyst – Data Science & Analytics
Experian (company site, opens in a new tab)5–8 yrsMumbaiOn-siteDirect career pageEst. 20–35 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end MSME bureau analytics projects covering acquisition, underwriting, risk segmentation, portfolio monitoring, early warning, and collections with full ownership from problem definition to validation and delivery.
- Design and develop MSME credit-risk scorecards and predictive models using statistical and machine-learning approaches, ensuring interpretability, stability, and business applicability.
- Lead client and pre-sales engagements to diagnose problems, scope proofs of concept, present methodologies, and mentor junior analysts while ensuring compliance with data security and model governance.
Minimum Requirements
- 5-8 years relevant experience in credit-risk analytics, data science, or statistical modelling, including at least 3 years in MSME/SME/commercial credit-risk or bureau analytics.
- Advanced hands-on proficiency in Python and strong SQL skills for handling large granular credit datasets.
- Demonstrated end-to-end ownership of credit-risk scorecard or model development from sample design to validation and implementation.
- Role location: Mumbai; Work Experience Required: Explicitly stated as 5-8 years with MSME focus; No notice period mentioned.
Ideal Candidate Profile
- Experienced in MSME credit-risk and bureau analytics with strong judgement to translate statistical results into commercially usable risk solutions for banks, NBFCs, fintechs, or other MSME lenders.
- Capable of leading client-facing pre-sales discussions with senior stakeholders, framing solutions and managing technical queries.
- Strong leadership through mentoring junior analysts and improving team standards for quality, reproducibility, and governance of credit-risk analytics.