Staff Product Data Analyst, Fraud & Surveillance

. Build and maintain the in-house detection layer for wash trading, collusion, and evaluation/prop-firm fraud .

Posted 9/25/2026full-timeUnited StatesLead💰 $162,000 - $212,000 per yearWebsite

Tools & technologies

BigQueryCloudPythonSQL

Key responsibilities & impact

Build and maintain the in-house detection layer for wash trading, collusion, and evaluation/prop-firm fraud
Own and evolve detection models and rules for market abuse across trading data
Own partner-facing surveillance reporting, from standardized end-of-day reports toward real-time monitoring
Work with evaluation 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 solution feasibility
Translate fraud patterns into detection logic using matching criteria, hold-time thresholds, recurrence windows, and P&L severity scoring
Maintain data quality and hygiene across surveillance data
Investigate flagged cases end to end and produce evidence-backed findings for partners and internal leadership
Reduce false positives and identify new fraud patterns as bad actors adapt

What you’ll need

Deep trade-surveillance or market-risk experience
Hands-on knowledge of wash trading, hedging, reverse trading, collusion, and copy trading, including benign-looking lookalikes
Working knowledge of futures/derivatives trading mechanics, including fills, positions, and P&L
Strong SQL skills
Hands-on experience with a cloud data warehouse; BigQuery and Athena preferred
Experience investigating large, messy transactional data
Ability to design detection rules or anomaly models and defend them analytically, including precision/recall tradeoffs, thresholds, and validation
10+ years in data analytics or data science, ideally in trading, fraud, risk, fintech, or market surveillance
Ability to maintain data quality and translate technical findings into clear, concise reporting for partners and executives
Master's degree in analytics or a related quantitative field preferred
Prior prop-firm or brokerage experience preferred
Python or experience with fraud, AML, or surveillance tooling preferred
Experience building toward real-time or streaming detection preferred

Comp & perks

Annual target bonus of 12%
401(k) plan through ADP with company matching up to 3.5% of employee contributions
23 days of annual paid time off
7 paid holidays
20 additional flex remote days annually
6 company-wide office-optional weeks tied to major holidays
Generous PTO
7 paid holidays annually + 5 conditional holidays annually
1 service day annually
Paid parental bonding leave
Health, vision, and dental coverage
Life and disability insurance covered 100% by NinjaTrader
Remote flexibility for exceptional candidates in eligible states