Lead, Fraud Analytics

Arena Club•Los Angeles, CA

1d•$120,000 - $175,000

About The Position

Arena Club is building a digital marketplace for collectibles, offering buying, selling, grading, authentication, vaulting, digital pack openings, and personalized online showrooms. The company is seeking its founding fraud hire to own fraud analytics and mitigation strategy. The role will build a proactive, quantitative approach through data analysis, a robust rules framework, and systemic logic that protects users. Over time, the Lead will establish foundational data architecture for risk operations and support future dedicated data science capacity as the team expands.

Requirements

Bachelor's degree in a relevant field such as Data Analytics, Statistics, Economics, Finance, or Mathematics.
At least 3 years of fraud domain experience in financial transaction analysis, anti-money laundering frameworks, and identifying digital payment abuse.
At least 5 years of applied analytical experience outside academia.
Proficiency writing complex SQL queries to retrieve data, analyze fraud trends, and independently build automated alerts.
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 ability to operate autonomously, document analytical processes, and solve complex problems in a high-growth startup environment.

Nice To Haves

Experience with Metabase.
A 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.

Responsibilities

Establish, statistically test, and scale transactional rules and logic to maximize fraud detection while minimizing friction for legitimate power users.
Develop recurring dashboards, scorecards, and monitoring frameworks to provide visibility into fraud performance, portfolio health, and emerging risks.
Conduct deep-dive analyses of fraud losses, control gaps, false positives, and unexpected performance changes, translating findings into actionable recommendations.
Analyze fund flows across credit cards, ACH, digital wallet balances, internal transfers, and high-value payouts to balance platform growth with risk exposure.
Define trusted fraud performance metrics and analytical datasets, including fraud loss rates, approval and decline rates, false-positive rates, customer friction, and operational efficiency.
Quantify and mitigate financial risks, including promotional and referral abuse, card cashing, money laundering, account takeovers, and multi-account abuse.
Partner with Product, Engineering, and Marketing to improve fraud strategies, strengthen operational feedback loops, and support new product launches.
Collaborate with Compliance to align fraud detection rules with BSA/AML policies, escalation procedures, regulatory reporting, and transaction monitoring processes.