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Salary: USD 120,000 - 175,000 / annual
Arena Club is a digital marketplace for collectibles founded by Derek Jeter and Brian Lee, enabling collectors to buy, sell, grade, and showcase items in one place. The company combines grading, authentication, vaulting, and digital pack openings to create a trusted, transparent ecosystem.
You will own the fraud analytics and mitigation strategy as the founding fraud hire, building a proactive, quantitative environment that protects the marketplace. You'll establish the foundational data architecture for risk operations, positioning the team for dedicated data science support as it scales.
Key responsibilities include:
- Establish, statistically test, and scale transactional rules and logic to maximize fraud detection while minimizing friction for legitimate users
- Develop recurring dashboards, scorecards, and monitoring frameworks to track fraud performance, portfolio health, and emerging risks
- Conduct deep-dive analyses to diagnose fraud losses, control gaps, false positives, and performance changes, translating findings into actionable recommendations
- Analyze complex fund flows across credit cards, ACH, digital wallets, internal transfers, and high-value payouts to balance growth with risk exposure
- Define fraud performance metrics and analytical datasets, including fraud loss rates, approval/decline rates, false-positive rates, customer friction, and operational efficiency
- Quantify and systematically mitigate financial risks including promotional abuse, card cashing, money laundering, account takeovers, and multi-account abuse
- Partner cross-functionally with Product, Engineering, and Marketing to improve fraud strategies and support new product launches
- Collaborate with Compliance to align fraud detection rules with BSA/AML policies, escalation procedures, regulatory reporting, and transaction monitoring
This is a founding-level role requiring a highly analytical problem-solver who can dissect complex transaction anomalies while building long-term infrastructure to scale and protect the marketplace ecosystem.
REQUIREMENTS:
- Bachelor's degree in 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
- Exceptional judgment and capacity to operate autonomously, document analytical processes, and solve complex problems in a high-growth startup environment
PREFERRED:
- Experience with Metabase
- Solid grasp of e-commerce marketplace vulnerabilities
- Direct experience configuring and optimizing Stripe Radar or Stripe Radar Pro rules
- Broader experience with platform integrity or trust and safety alongside hard financial fraud prevention
