Senior Credit Risk Analyst

• Senior Credit Risk Analyst
• Company: Kadel Labs
• Job Location: Madhya Pradesh, India
• Employment Type: Full-time
• Credit Risk Analytics Analyst - Credit Card
• Company Description

(Kadel Labs is a global software technology systems incubator. We began our operations in 2017 and we plan to grow organically by providing excellent value proposition to our clients.

Digi Clave, Elasti Crew, Dial Plug, Bytegage and MedHealth are some of our top startups.

At the core, we are a people's company. We serve clients by practicing an employee-centric culture and create an environment where ideas, creativity, free-flowing communication and innovation is encouraged to create better products and services.)

Role Purpose

We are seeking a Credit Risk Analytics Analyst to support portfolio credit risk analytics across the account lifecycle, including acquisitions, account management, and collections, for a US credit card portfolio. The role will leverage advanced analytics, statistical modelling, and machine learning to generate actionable insights, improve credit risk strategies, and strengthen portfolio performance.

• Key Responsibilities
• Analyze portfolio performance across key credit risk metrics, including approval rates, line assignment, utilization, delinquency, roll rates, losses, and charge-offs.
• Support the development, monitoring, validation, and performance assessment of credit risk scorecards and underwriting strategies.
• Conduct customer and account segmentation, vintage analysis, champion/challenger testing, and policy impact analysis.
• Evaluate credit strategies and identify opportunities to optimize risk-adjusted portfolio growth and profitability.
• Analyze credit bureau and internal account data to identify trends, risk drivers, and emerging portfolio risks.
• Apply statistical modeling, machine learning, and Al techniques to enhance risk models, decisioning strategies, and analytical insights.
• Partner with Credit Risk, Data Science, Product, Marketing, and Business teams to translate analytical findings into effective business recommendations.
• Develop clear, concise reports and presentations for senior stakeholders, highlighting portfolio trends, risks, opportunities, and recommended actions.
• Required Skills & Qualifications
• Strong hands-on experience with Python, including scikit-learn, pandas, statistical modeling, and data analysis.
• Strong SQL skills with experience working with large and complex datasets.
• Solid understanding of US credit bureau data, including FICO, VantageScore, tradeline attributes, inquiries, utilization, and related credit risk variables.
• Strong understanding of credit card underwriting and portfolio risk management.
• Knowledge of credit risk modeling techniques, including logistic regression, scorecards, and gradient boosting, is preferred.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, or a related quantitative discipline.
• Benefits:
• Provident Fund
• Work Location:
• In person .