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. 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.
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.
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
Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.
Job ID: 150525179
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