Skip to content

Mulligan Funding

Data Scientist I - Management Trainee

Compensation
$82.8K–$90K / yr
Location
San Diego, CA, US
Arrangement
Hybrid
Employment type
Full-time
Level
Intern
Posted
20 August 2026 (about a month ago)

Checked about a month agoApplications go to the employer, never to RoleSprint

About this role

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $10M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners. At Mulligan, we are transforming small business lending by replacing legacy processes with fast, intelligent, AI-driven decisioning. Backed by 18 years of proprietary credit data and deep risk expertise, our production-grade AI agents are already running in active credit and underwriting workflows. As we expand this AI-first approach across Sales, Customer Lifecycle, Finance, and Capital Markets, we offer an uncommonly rich environment for emerging data scientists. By stepping directly into the center of these efforts, you won't just observe modern machine learning—you will gain hands-on experience with advanced, industry-leading tools and complex technical architectures while contributing directly to our mission of scaling AI across the organization. Designed for ambitious graduates eager to solve real-world financial and risk challenges, the Data Scientist IManagement Trainee role places you alongside senior leads in Credit & Pricing Strategy and Portfolio Analytics. In this position, your analytical rigor, SQL-based deep dives, and credit policy impact evaluations will directly inform key strategic decisions and drive our continuous growth.

You will: • 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 , influence stakeholders with data backed strategies.

• Work with data vendors in pushing data boundaries.

Qualifications & Requirements • Education: Bachelor’s degree in Mathematics, Statistics, or a related Quantitative field (must be in top 10% of graduating class).

• Technical Skills: Strong proficiency in SQL and Python for complex data aggregation and analysis.

• Aptitude: High capacity for analytical reasoning and a solid quantitative background.

• Location: San Diego, CA (On-site / Hybrid collaboration near business headquarters).

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.

Work location

  • San Diego, CA, US

Related jobs

Ready to make a decision?

This role is either worth your time or it isn’t.

Analyze the posting against your experience, see the gaps clearly, and build the right materials only if the opportunity makes sense.

Nothing is submitted automatically. You choose what happens next.

About this listing

Published on Lever under the board identifier Mulliganfunding, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 20 August 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

More searches like this one

Browse all current openings

No credit card requiredStart free