Michael Page
Specializes in recruitment and staffing services
This role is sourced from an external job board and is not a ProSculpt-verified employer. Review the listing carefully, never pay any fee to apply, and verify the company before sharing personal details.
• Opportunity to shape transformation in a modern banking setup • Fast-growing, digitally driven bank with strong customer focus About Our Client Our client is a large organization in the financial services industry, specializing in retail banking and loans. They are committed to delivering innovative solutions and maintaining a strong focus on data analytics to support strategic business objectives. Job Description • Design and deploy statistical models including but not limited to Application and Behavioral scorecards using advanced ML techniques. • Lead end-to-end lifecycle: problem framing → data extraction → feature engineering → model development → validation → deployment → monitoring. • Develop statistically robust models using techniques such as (but not limited to): • Gradient Boosting (XGBoost, LightGBM, CatBoost) • Random Forest, Ensemble methods • Neural Networks (MLP) • Apply rigorous evaluation frameworks (AUC, KS, Gini, Lift, PSI, stability analysis). • Address imbalanced datasets, reject inference, segmentation, and portfolio drift. • Build challenger models and drive continuous performance optimization. • Develop and refine credit underwriting strategies aligned to risk appetite, approval rate targets, and portfolio profitability. • Conduct portfolio analytics and recommend cut-off, limit, and pricing strategies. • Collaborate with Risk, Policy, Product, and Tech teams to translate business requirements into deployable decisioning frameworks. • Ensure robust monitoring, back-testing, and periodic recalibration. The Successful Applicant A successful Data Analyst - Risk Analyst should have:* 3-6 years of experience in Credit Risk Analytics • Strong foundation in statistics, hypothesis testing, sampling theory, and classification methodologies. • Proven experience in ML-based credit modeling, model governance and monitoring • Expertise in handling large structured financial datasets. • Proficiency in Python, PySpark, Scikit-learn, and boosting frameworks. • Experience building scalable training pipelines and supporting production deployment. What's On Offer • A competitive salary package • Opportunities for professional growth and development in the analytics field. • Comprehensive benefits and supportive company culture. • Chance to work with a large organization in the financial services industry. If you are a skilled Data Analyst - Risk Analyst looking to make an impact in a dynamic environment in Bandra (East), Mumbai, we encourage you to apply Contact Quote job ref: JN-062026-7044594
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