Analytics Consultant
Experian (company site, opens in a new tab)8+ yrsMumbaiOn-siteDirect career pageEst. 22–35 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and deliver credit-risk models using bureau, alternative and emerging data to improve underwriting, decisioning and portfolio performance for financial-services clients.
- Advise on acquisition strategies, credit assessment and limit assignment, translating analytical findings into commercial recommendations and measurable customer value.
- Own analytical delivery against agreed timelines and align client, business, technical and delivery stakeholders on requirements and solutions.
Minimum Requirements
- Work Experience Required: 8+ years in credit-risk modelling across the customer lifecycle; experience managing large-scale analytics projects in banking, financial services or international banking is required.
- Hands-on statistical and machine-learning model development using Python or SAS, including Logistic Regression, Decision Trees, Gradient Boosting and KNN.
- Strong MSME lending expertise, including underwriting, credit assessment, risk segmentation, bureau-based and alternate-data lending, and portfolio risk management.
- Role location: Mumbai; the JD indicates onsite (LI-Onsite).
Ideal Candidate Profile
- A senior credit-risk modeller with deep MSME lending and portfolio-risk experience, able to apply models across the customer lifecycle.
- Has worked in banking or financial-services analytics environments and can connect bureau and alternative data with practical lending decisions; credit-bureau or decisioning experience is preferred.
- Can turn technical model outputs and large-dataset analysis into clear business recommendations for clients and cross-functional delivery teams.