FULLTIME
Data Analyst - Risk Analyst | 3-7 yrs | Mumbai | WFO
Michael Page International
Not specified · onsite · Posted 7d ago
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Section · 01
About this role
- 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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Section · 02
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About Michael Page International
Michael Page International
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