Credit Risk Model Development

Infinites Hr Services Pune; Bengaluru, Gurugram District; Hybrid; INR 1,000,000 - 1,400,000; Full time

Job summary

Infinites Hr Services Pune is seeking an experienced professional for a Credit Risk Modeling role in Bengaluru. The ideal candidate should have over 5 years of experience within the US Banking domain, utilizing advanced statistical techniques and machine learning. This hybrid position requires strong programming skills in Python and SQL.

Responsibilities include developing and implementing risk models, collaborating with stakeholders, and mentoring junior members. Preferred industries include Banking, FinTech, and Payments.

Qualifications

• 5+ years of experience in Credit Risk Modeling.
• Strong experience in the US Banking domain.
• Proficiency in Python and SQL.
• Hands-on experience in predictive modeling.

Responsibilities

• Develop, enhance, and implement Credit Risk Models.
• Build predictive risk models using machine learning techniques.
• Perform evaluation and monitoring of model performance.
• Prepare comprehensive model documentation.
• Mentor junior team members in model development.

Skills

Credit Risk Modeling

Python

SQL

XGBoost

Gradient Boosting

Model Development

Statistical Techniques

Stakeholder Management

Job description

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 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