Location
Faridabad, Haryana, India
Posted
June 26, 2026
Job Description
Applied Data Scientist – Credit Risk
Location:
Gurgaon (Hybrid)
Experience:
4–7 Years
Role Overview
We are looking for an
Applied Data Scientist – Credit Risk
with strong expertise in
Credit Risk Modeling, Machine Learning, Statistical Modeling, and Risk Analytics
within the BFSI/Lending domain. The ideal candidate should have hands-on experience building and deploying credit scorecards, behavioral models, and risk solutions using advanced ML techniques.
Key Responsibilities
Develop and optimize
Credit Risk Models, Application Scorecards, Behavioral Models, PD, LGD, and ECL frameworks .
Build predictive models using
Logistic Regression, GLM, XGBoost, and Machine Learning techniques .
Apply
PCA, K-Means Clustering , and other analytical techniques for customer segmentation and risk assessment.
Work with large-scale datasets, perform feature engineering, EDA, and model validation.<...
Location:
Gurgaon (Hybrid)
Experience:
4–7 Years
Role Overview
We are looking for an
Applied Data Scientist – Credit Risk
with strong expertise in
Credit Risk Modeling, Machine Learning, Statistical Modeling, and Risk Analytics
within the BFSI/Lending domain. The ideal candidate should have hands-on experience building and deploying credit scorecards, behavioral models, and risk solutions using advanced ML techniques.
Key Responsibilities
Develop and optimize
Credit Risk Models, Application Scorecards, Behavioral Models, PD, LGD, and ECL frameworks .
Build predictive models using
Logistic Regression, GLM, XGBoost, and Machine Learning techniques .
Apply
PCA, K-Means Clustering , and other analytical techniques for customer segmentation and risk assessment.
Work with large-scale datasets, perform feature engineering, EDA, and model validation.<...