Staff Product Data Analyst, Fraud & Surveillance

JOIN US ON OUR MISSION: TO BECOME THE #1 RETAIL TRADING PLATFORM IN THE WORLDWelcome to the dynamic world of Ninja Trader! As an industry-leading trading platform and futures broker, we're empowering traders to take control of their financial destiny. How do we do it? We provide cutting-edge products and services that enhance the trading journey. Whether a seasoned pro or just starting out, Ninja Trader equips traders with award-winning software and brokerage services to navigate the world's leading financial markets with confidence. Our growth story is nothing short of exhilarating. Since 2003, Ninja Trader has been dedicated to understanding and supporting traders on their journey toward trading triumph. Through those efforts, our user base has grown to over 2 million users and we have become the number one rated futures brokerage worldwide. But we're not stopping there. We're constantly evolving, pushing boundaries, and modernizing the futures industry. Our commitment to innovation means users will always have access to dynamic tools, real-time support, and a community of like-minded traders. So, why work at Ninja Trader? Here, you're not just part of a team; you're part of a movement. We empower employees to reach new heights in their careers by providing a dynamic culture focused on social connection, professional development, and employee recognition initiatives. Sounds too good to be true? Take it from our employees. Join us as we redefine what's possible in trading, advocate for our customers, and continue our journey toward becoming the world's top retail-focused trading platform in the world.

What you'll do: Ninja Trader's Trade Surveillance team is being built to protect the integrity of our marketsand our partners' programs by catching fraud and abuse before it costs anyone money. As aStaff Product Data Analyst, you'll own building and maintaining the in-house detection layer— the models and rules that flag wash trading, collusion, and eval/prop-firm fraud across ourtrading data — and the partner-facing surveillance reports built on top of them. Engineeringbuilds the data pipeline; you define what runs through it, applying market-structurejudgment to turn raw fills into defensible fraud findings that partners and leadership can acton. In this role you will: Own and evolve the detection models and rules that flag market abuse — wash trading, hedging and reverse trading, collusion and coordinated accounts — across our tradingdata Own partner-facing surveillance reporting end to end, starting with standardizedend-of-day reports and evolving toward real-time monitoring Work directly with eval and prop-firm partners to validate true and false positives, calibratedetection quality, and tune thresholds and rules Collaborate with partners on custom reporting and solution 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'll need: Deep trade-surveillance or market-risk experience, including hands-on knowledge ofmarket-abuse patterns such as wash trading, hedging, reverse trading, collusion, and copytrading, and how each can produce benign-looking lookalikes Working knowledge of futures/derivatives trading mechanics — fills, positions, and P&L —and what abusive trading looks like in practice Strong SQL and hands-on experience with a cloud data warehouse (Big Query and Athenapreferred), and 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 judgmentleading the analysis 10+ years in data analytics or data science, ideally in trading, fraud, risk, fintech, or marketsurveillance Ability to maintain data quality and turn technical findings into clear, concise reporting forpartners and executives Bonus Points for: 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

Compensation: The salary range for this role will be $162,000.00 - $212,000.00 USD.In addition, this positionwill also receive an annual target bonus of 12%. Bonus pay at Ninja Trader is based onindividual performance (50%) as well as company/team performance (50%).Salary and bonus earnings are only two components of the total compensation packageoffered by Ninja Trader. Ninja Trader offers a 401(k) plan through ADP under which thecompany will match up to 3.5% of employee contributions. Annual paid time off allowanceaccrues at a rate of 23 days per year plus seven paid holidays.

Location: This role is based in Chicago, IL. *There may be remote flexibility for exceptional candidates inthe following states: 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, Wisconsin. Hybrid: For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remotedays, we offer:20 additional flex remote days annually 6 Company Wide Office-Optional weeks tied to major holidays

Our Core Benefits Include: Generous PTO7 Paid Holidays Annually + 5 Conditional Holidays Annually 1 Service Day Annually 401k with 3.5% Company Match Paid Parental Bonding Leave Health, Vision, Dental Coverage Life and Disability Insurance Covered 100% by Ninja Trader We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.