Manager - Credit Risk Model Development - Banking

: Credit Risk Model Development - Manager

Role Details:

• 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 strong 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.
• Strong 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.
• Strong 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

Role: Analytics Consultant

Industry Type: Analytics / KPO / Research

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics