01Overview
Opportunity to shape transformation in a modern banking setupFast-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 packageOpportunities 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 .
