Staff Product Data Analyst, Fraud & Surveillance

As a Staff Product Data Analyst for Fraud & Surveillance at NinjaTrader, you own the detection layer that protects market integrity across our trading platform. You build and maintain the models and rules that flag wash trading, collusion, and eval/prop-firm fraud, and you deliver partner-facing surveillance reports that turn raw trading data into defensible fraud findings that partners and leadership can act on.

What you'll do

• Own and evolve the detection models and rules that flag market abuse including wash trading, hedging and reverse trading, collusion, and coordinated accounts across trading data
• Own partner-facing surveillance reporting end to end, starting with standardized end-of-day reports and evolving toward real-time monitoring
• Work directly with eval and prop-firm partners to validate true and false positives, calibrate detection quality, and tune thresholds and rules
• Collaborate with partners on custom reporting and assess feasibility for partner requests
• Translate fraud patterns into precise, tunable detection logic across matching criteria, hold-time thresholds, recurrence windows, and P&L severity scoring
• Maintain data quality and hygiene across the surveillance data that feeds detection and reporting
• Investigate flagged cases end to end and produce clear, evidence-backed findings that partners and internal leadership can act on
• Reduce false positives continuously and surface new fraud patterns as bad actors adapt

What you bring

• Deep trade-surveillance or market-risk experience, including hands-on knowledge of market-abuse patterns such as wash trading, hedging, reverse trading, collusion, and copy trading
• Working knowledge of futures and derivatives trading mechanics, including fills, positions, and P&L, and what abusive trading looks like in practice
• Strong SQL and hands-on experience with a cloud data warehouse, preferably BigQuery or Athena, with comfort investigating large, messy transactional data
• Proven ability to design detection rules or anomaly models and defend them analytically, including precision/recall tradeoffs, thresholds, and validation, with domain judgment leading the analysis
• 10+ years in data analytics or data science, ideally in trading, fraud, risk, fintech, or market surveillance
• Ability to maintain data quality and turn technical findings into clear, concise reporting for partners and executives

Nice to have

• A Master's degree in analytics or a related quantitative field
• Prior prop-firm or brokerage experience
• Python or experience with fraud, AML, or surveillance tooling
• Experience building toward real-time or streaming detection

What we offer

• Salary of $162,000 to $212,000 USD annually, plus an annual target bonus of 12% based on individual performance (50%) and company/team performance (50%)
• 401(k) plan with company match up to 3.5% of employee contributions
• 23 days of annual paid time off plus 7 paid holidays, plus 1 service day annually
• 5 additional conditional holidays annually
• Paid parental bonding leave
• Health, vision, and dental coverage
• Life and disability insurance covered 100% by NinjaTrader
• Hybrid work schedule for Chicago-based employees: in-office Tuesday through Thursday, remote Monday and Friday, plus 20 additional flex remote days annually and 6 company-wide office-optional weeks tied to major holidays
• Remote flexibility for exceptional candidates in California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, and Wisconsin

About NinjaTrader

NinjaTrader is an industry-leading trading platform and futures broker serving over 2 million users worldwide. The company provides award-winning software and brokerage services for retail and professional traders, and is the number one rated futures brokerage globally. The role is based in Chicago, IL.