Excel in predictive analytics as a Data Scientist specializing in Credit Risk Modeling. Play a key role in risk strategies and model enhancement in a versatile work setting.
This senior-level position involves being an individual contributor focused on developing, validating, and maintaining credit risk models for unsecured personal loans. Your expertise in statistical modeling and programming will be essential in driving innovative risk solutions while collaborating with both data science and business teams.
Key Responsibilities:
• Develop predictive models (PD, LGD, EAD) for lending
• Perform feature engineering to boost model performance
• Validate and back-test existing risk models
• Collaborate with business teams on lending strategies
• Mentor junior team members in best practices
Requirements:
• Bachelor’s or Master’s degree in relevant fields
• 5–7 years of experience in credit risk
• Strong background in machine learning techniques
• Proficient with Python, R, or SAS; SQL required
• Deep knowledge of portfolio management and risk concepts
Contribute to the advancement of credit risk analytics while optimizing lending decisions in a startup atmosphere.
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