Arena Club is a modern collectibles platform that reimagines how sports cards are traded and collected, bridging the gap between physical and digital worlds. Backed by M13.
About the role
We are seeking a Lead to own our fraud analytics and mitigation strategy. As our founding fraud hire, you will build a proactive, quantitative environment by leading data analysis, developing a robust rules framework, and designing the systemic logic that protects our users. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A Bachelor's degree in a relevant field such as Data Analytics, Statistics, Economics, Finance, or Mathematics
- 3+ years of fraud domain experience in financial transaction analysis, anti-money laundering frameworks, and identifying digital payment abuse
- 5+ years of applied analytical experience outside of academia
- Proficient in writing complex SQL queries to pull data, analyze fraud trends, and build automated alerts independently
- Thorough understanding of payment mechanics, transactional fund flows, clearing windows, and risk profiles across ACH, deposits, credit cards, withdrawals, and chargebacks
- Ability to evaluate false-positive rates, analyze data anomalies, and make data-driven decisions to optimize risk controls
More about this role
Arena Club is building the number one digital marketplace for collectibles. We started by reinventing the hobby with the first-ever digital card show, and we are expanding into new categories so collectors can buy, sell, grade, and showcase everything they care about in one place. Spearheaded by 5x World Series Champion Derek Jeter and serial entrepreneur Brian Lee, our fully digital marketplace is grounded in trust, transparency, and fun, featuring grading and authentication, vaulting, and digital pack openings that let collectors build and display their collections in a personalized online showroom from anywhere in the world.
We are seeking a Lead to own our fraud analytics and mitigation strategy. As our founding fraud hire, you will build a proactive, quantitative environment by leading data analysis, developing a robust rules framework, and designing the systemic logic that protects our users.
Over time, you will establish the foundational data architecture for risk operations, paving the way for dedicated data science support as the team expands. This role requires a highly analytical, sharp data problem-solver who can dissect complex transaction anomalies while building the...
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