Credit Risk Model Development Specialist

Role Overview

This position requires an experienced professional specialized in Credit Risk Modeling within the US Banking sector. The role involves developing, validating, and implementing credit risk models using advanced machine learning and statistical techniques. The candidate will work in a hybrid mode based in Gurgaon or Bangalore and is expected to have a notice period between immediate to 30 days.

Key Responsibilities

• Create, improve, and manage Credit Risk Models tailored for US Banking clients.
• Construct predictive models using statistical analysis and machine learning methods.
• Leverage sophisticated algorithms including XGBoost, Gradient Boosting, and other supervised learning approaches to assess risk and inform decisions.
• Conduct model evaluation, sensitivity testing, benchmarking, back-testing, and continuous monitoring to ensure robustness and compliance.
• Engage collaboratively with cross-functional teams such as business stakeholders, governance, validation, and technology groups throughout model lifecycle stages.
• Develop detailed documentation for models to satisfy regulatory and governance requirements.
• Interpret business needs and translate them into effective analytical solutions providing actionable insights.
• Provide guidance and mentorship to junior colleagues and promote best practices in credit risk model development.

Skills and Qualifications

• Minimum of 5 years’ professional experience in Credit Risk Modeling, including aspects like model development, validation, monitoring, and deployment.
• Strong domain expertise within US Banking.
• Proficient in Credit Risk Analytics and predictive modeling techniques.
• Experienced in Python programming and SQL for data manipulation and model implementation.
• Skilled in applying machine learning algorithms such as XGBoost and Gradient Boosting for risk analytics.
• Comprehensive understanding of the model development lifecycle with focus on performance monitoring and validation tactics.
• Experienced in handling large datasets and applying statistical methods to resolve complex business problems.
• Excellent analytical capabilities along with effective communication and stakeholder management skills.

Preferred Industry Background

• Banking
• Banking, Financial Services and Insurance (BFSI)
• Payments Sector
• FinTech Industry

Additional Details

• Band: C1 / C2
• Locations: Gurgaon or Bangalore
• Work Mode: Hybrid
• Notice Period: Immediate to 30 days preferred
• Eligible candidates must be Any Graduate.
• Salary Range: 2,500,000 to 3,500,000 INR per annum