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About the Role
Mulligan Funding is transforming small business lending with AI-driven decisioning. This role offers data scientists hands-on experience with advanced tools and complex architectures, contributing to the organization's AI scaling efforts. Designed for ambitious graduates, you will solve real-world financial and risk challenges alongside senior leads, directly influencing strategic decisions and driving growth.
Responsibilities
- Perform SQL queries and complex data aggregations to support credit strategies and portfolio monitoring.
- Conduct deep-dive quantitative analyses to evaluate credit policy changes and lending performance.
- Collaborate with cross-functional teams including Risk and Operations to present analytical findings.
- Present analytical opportunities for business improvement and influence stakeholders with data-backed strategies.
- Work with data vendors in pushing data boundaries.
Requirements
- Bachelor’s degree in Mathematics, Statistics, or a related Quantitative field (must be in top 10% of graduating class).
- Strong proficiency in SQL and Python for complex data aggregation and analysis.
- High capacity for analytical reasoning and a solid quantitative background.
Skills
- SQL
- Python
- Data Aggregation
- Data Analysis
- Quantitative Analysis
- Credit Policy Evaluation
- Portfolio Analytics
Location
- San Diego, CA
Work Type
- On-site
- Hybrid
Experience Level
- Entry Level
- Graduate
Education Level
- Bachelor's Degree
Salary/Compensations
- $82,800 - $90,000
About the Company
- Headquartered in San Diego, Mulligan Funding is a leading provider of working capital (Up to $10M) to small and medium-sized businesses.
- Founded in 2008, the company emphasizes a collaborative, innovative, and customer-focused approach.
- Mulligan Funding is experiencing unprecedented growth driven by cutting-edge technology, human touch, and integrity.
- The company is expanding its AI-first approach across Sales, Customer Lifecycle, Finance, and Capital Markets.
Equal Opportunity
- Mulligan Funding is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment.
- Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability or veteran status.