Credit Risk Data Scientist II

Responsibilities

• Oversee the development, validation, and performance monitoring of credit risk models for decision-making and regulatory reporting
• Apply expert-level data science and statistical techniques for loss forecasting and credit decisioning
• Manage the model governance framework and ensure effective control processes
• Conduct back testing and assess model performance to make necessary adjustments
• Ensure alignment of modeling activities with the organization's risk appetite and strategic goals
• Interact with senior management, auditors, and regulators regarding model performance

Requirements

• 7+ years of experience in credit risk modeling, validation, or model risk management
• Proven experience with Expected Loss (EL) using PD, LGD, and EAD frameworks
• Deep expertise in machine learning and statistical techniques for CECL and CCAR
• Proficiency in statistical software such as R, Python, SAS, and SQL
• Strong knowledge of consumer credit, including credit cards and unsecured lending
• Bachelor's degree in Quantitative Finance, Economics, Statistics, Mathematics, or Data Science

Preferred Qualifications

• Master's degree in a quantitative discipline such as Financial Engineering or Applied Mathematics
• Familiarity with credit scorecards and origination credit underwriting
• Experience with Basel III, IFRS 9, and Dodd-Frank regulatory frameworks

Benefits

• Comprehensive medical, dental, and vision insurance
• 401(k) retirement plan with company matching
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Generous paid time off and 11 paid holidays
• Company-paid basic life insurance and disability coverage

About the Company

Coastal is a modern banking institution combining strong financial infrastructure with Banking-as-a-Service (BaaS) and fintech enablement strategies to empower individuals and businesses.