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mulliganfunding
San Diego, CA
Source: mulliganfunding careers · View original posting
From mulliganfunding's posting. “We” and “our” refer to the employer.
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 I
Management 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.
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