Risk and Data Science Analyst: Building a whole new type of credit card (Los Angeles) - FinTech (PingLend, YC W21)
Hybrid (Los Angeles)Full-timePosted 11mo ago
About the role
Risk/Data Science analyst role at PingLend (FinTech) focused on building innovative asset-collateralized credit products to serve underbanked users. Based in Los Angeles; full-time role under Pesto umbrella.
Responsibilities
- Conduct insightful analysis using internal and external data (e.g., revenue, risk, product, market, industry) to derive insights that will drive business decisions
- Explore and test new data sources and techniques to improve our decisioning
- Leverage data techniques to investigate our data and gain knowledge of our users/business, and educate the rest of the team
- Design and execute acquisition, pricing, credit line tests
- Partner with engineers to validate & deploy solutions in an efficient, sustainable & usable manner
Qualifications
- 1-3 years of experience in analytical function (e.g., data science, risk management, or strategic finance) or equivalent master’s degree
- Self-starter, capable of productive work both independently and as part of the team, with a desire to learn quickly and take ownership
- Strong track record in working collaboratively
- Ability to multi-task in a fast-paced environment; prior experience in consumer finance or fintech strongly preferred
- Strong knowledge of Excel, SQL, and experience with a programming language (preferred but not required)
- Understanding of credit cards and valuation techniques preferred
Skills
Required:SQL
Last updated Jul 1, 2026. Interested? Apply on the company site.

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