Role Details
Band: C1 / C2
Experience: 5+ Years
Location: Gurgaon / Bangalore
Work Mode: Hybrid
Notice Period: Immediate to 30 Days Preferred

About the Role

We are looking for experienced professionals with a strong background in Credit Risk Modeling within the US Banking domain. The ideal candidate should have hands-on experience in developing and implementing credit risk models using advanced statistical and machine learning techniques, along with solid programming skills in Python and SQL.

Key Responsibilities
Develop, enhance, monitor, validate, and implement Credit Risk Models for US Banking clients.
Build predictive risk models using statistical and machine learning techniques.
Apply advanced algorithms such as XGBoost, Gradient Boosting, and other supervised learning methods for risk assessment and decision-making.
Perform model performance evaluation, sensitivity analysis, back-testing, benchmarking, and model monitoring.
Collaborate with business stakeholders, model governance, validation, and technology teams throughout the model lifecycle.




Prepare comprehensive model documentation and ensure compliance with regulatory and governance standards.
Translate business requirements into analytical solutions and provide actionable insights.
Mentor junior team members and contribute to best practices in model development.

Required Skills & Qualifications
5+ years of experience in Credit Risk Modeling, Model Development, Validation, Monitoring, or Implementation.
Robust experience in the US Banking domain.
Hands-on experience in Credit Risk Analytics and predictive modeling.
Proficiency in Python and SQL.
Experience with machine learning algorithms, specifically XGBoost and Gradient Boosting techniques.
Robust understanding of model development lifecycle, performance monitoring, and validation methodologies.
Experience working with large datasets and applying statistical techniques for business problem-solving.
Excellent analytical, communication, and stakeholder management skills.

Preferred Industry Experience

Candidates from the following industries will be preferred:
Banking
BFSI
Payments
FinTech

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