Staff Data Scientist, Credit Strategy
About The Position
Mulligan Funding is a leading provider of working capital to small and medium-sized businesses. We are experiencing significant growth and are seeking motivated professionals to join our people-first culture. The Staff Data Scientist, Credit Strategy is a crucial role within the Risk Management team, focused on developing and optimizing credit strategies to balance growth, profitability, and risk. This position is key to maximizing credit conversion and customer lifetime value while maintaining portfolio performance within acceptable loss tolerances. The role involves close collaboration with Risk leadership, manual underwriting, Product, Engineering, and Data Science teams to create data-driven credit strategies that support sustainable growth and a resilient portfolio.
Requirements
- 5+ years of relevant experience in commercial risk data science and credit strategy within a fintech or banking environment.
- At least 3–4 years of hands-on experience designing, calibrating, and managing credit strategies for Merchant Cash Advance (MCA) products; prior MCA credit strategy experience is required.
- Strong experience overseeing model deployment, execution, and monitoring within a production environment; ML Ops experience is highly preferred.
- Master’s degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline required.
Responsibilities
- Design and deploy innovative approval, qualification, and segmentation strategies that maximize application approval rates while achieving credit loss targets.
- Develop and maintain underwriting policies that define minimum acceptance criteria and policy declines for segments outside Mulligan’s risk appetite.
- Create statistically grounded credit limit assignment frameworks that optimize lifetime customer value while managing downside risk.
- Design pricing and interest rate strategies, including testing frameworks, to ensure adequate loss coverage, strong borrower selection, and high customer take-up rates.
- Optimize data collection strategies by balancing the information value of data against customer friction and operational cost.
- Partner closely with the manual underwriting team to build a hybrid risk framework that integrates analytical strategies with expert manual review, ensuring consistent execution and continuous feedback loops.
- Collaborate with Product, Engineering, and Data Science teams to design and deploy scalable infrastructure that enables rapid iteration and refinement of credit strategies.
- Establish robust portfolio monitoring and reporting processes to track approval rates, credit performance, and risk metrics against expectations.
- Apply a thoughtful, forward-looking approach to portfolio construction to ensure assets are resilient across economic cycles and attractive to debt investors on a risk-adjusted basis.
- Incorporate macroeconomic trends and forward-looking risk signals into credit strategy to ensure ongoing relevance in evolving market conditions.
- Performs other duties as assigned.
Benefits
- Medical, vision, and dental benefits
- Flexible Spending Accounts (FSA)
- 401(k) with matching contributions
- Paid time off, including sick leave, vacation, and holidays
- Paid parental leave
- A Lifestyle Spending Account (LSA) for athletic and wellness expenses
- An employer-sponsored Life and AD&D policy, with options for additional coverage
- A Learning Stipend for professional development activities
- An Employee Assistance Program (EAP) and travel assistance services
- Complimentary snacks and refreshments in the breakroom
- A referral program
- Company events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
