Data Modeling Lead for Credit Risk
3 weeks ago
- Develop and maintain advanced statistical and econometric credit risk models to analyze and predict credit risk, including probability of default (PD), recovery/loss given default (LGD), and valuation models.
- Work closely with business line partners to embed and socialize these models, ensuring they are integrated into the organization's credit risk management framework.
- Analyze consumer lending portfolio trends to identify areas of risk and opportunities for growth, and develop strategies to mitigate risk and improve portfolio performance.
- Collaborate with the independent model validation team to ensure models are thoroughly tested and validated before deployment.
- Draw from source systems to maintain and analyze large datasets, using advanced statistical and modeling tools to identify trends and insights.
- 7+ years of experience in financial services, with a strong background in credit risk modeling and analysis.
- Advanced knowledge of statistical software packages, including SAS, Stata, R, and Python.
- Strong understanding of commercial banking and lending products, including credit risk management and loan origination.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Competitive salary range of $120,000 - $180,000 per year.
- Comprehensive benefits package, including medical, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Generous paid time off and holidays.
40 hours per week, Monday-Friday.", "Location": "Boston, MA"}
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