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Senior Credit Risk Modeler Data Science
Job Description & How to Apply Below
Harness your data science skills as a Senior Credit Risk Modeler for our unsecured lending products. Shape credit decision frameworks and strategies for better outcomes.
In this senior position, you'll develop and validate complex credit risk models including propensity to default and credit scoring.
Your role connects data science with risk management, ensuring that models meet regulatory compliance and enhance lending strategies. Mentor junior analysts as you contribute to a strong analytical culture.
Key Responsibilities:
• Lead predictive model development for credit risk
• Perform detailed data analysis and feature engineering
• Validate and monitor risk model performance
• Work with operations teams to apply model outputs
• Maintain thorough documentation for governance
Requirements:
• Bachelor's/Master's in a quantitative field
• 5–7 years experience in credit risk modeling
• Proficient in statistical modeling, machine learning
• Knowledge of Python, R, SQL required
• Strong analytical and problem-solving abilities
Utilize your expertise in credit risk modeling to influence lending decisions in an innovative environment.
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Position Requirements
10+ Years
work experience
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