Staff Product Data Analyst, Fraud & Surveillance

NinjaTrader

• $162K — $212K *
US-AnywhereRemote in United States
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Deep trade-surveillance or market-risk experience with knowledge of market-abuse patterns
  • Working knowledge of futures/derivatives trading mechanics
  • Strong SQL skills and experience with cloud data warehousing (BigQuery and Athena preferred)
  • Ability to design and defend detection rules and anomaly models analytically
  • 10+ years in data analytics or data science in relevant fields
  • Ability to maintain data quality and produce clear reporting

Responsibilities

  • Own and evolve detection models for market abuse such as wash trading and collusion
  • Develop partner-facing surveillance reports from standardized to real-time monitoring
  • Validate true/false positives with partners and calibrate detection quality
  • Collaborate with partners on custom reporting and feasibility
  • Translate fraud patterns into detection logic based on various criteria
  • Maintain data hygiene across surveillance data
  • Investigate flagged cases and produce evidence-backed findings
  • Continuously reduce false positives and identify new fraud patterns

Benefits

  • Generous PTO with 23 days accruing annually
  • 7 Paid Holidays and 5 Conditional Holidays
  • 401(k) plan with up to 3.5% company match
  • Paid parental bonding leave
  • Health, vision, and dental coverage
  • 100% coverage for life and disability insurance
Full Job Description
Disclaimer: Please be advised that the most accurate and up-to-date information about our open roles-including job descriptions, compensation, and benefits-can only be guaranteed on our official job board. For the latest listings and details, please visit: https://job-boards.greenhouse.io/ninjatrader.

What you'll do:

NinjaTrader's Trade Surveillance team is being built to protect the integrity of our markets and our partners' programs by catching fraud and abuse before it costs anyone money. As a Staff 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 our trading data - and the partner-facing surveillance reports built on top of them. Engineering builds the data pipeline; you define what runs through it, applying market-structure judgment to turn raw fills into defensible fraud findings that partners and leadership can act on.

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 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 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 of market-abuse patterns such as wash trading, hedging, reverse trading, collusion, and copy trading, 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 (BigQuery and Athena preferred), 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 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

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 position will also receive an annual target bonus of 12%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%).

Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401(k) plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues 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 in the 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 remote days, we offer:
  • 20 additional flex remote days annually
  • 6 Company Wide Office-Optional weeks tied to major holidays


Our Core Benefits Include:
  • Generous PTO
  • 7 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 NinjaTrader

Similar Jobs

More Jobs at NinjaTrader

More Finance & Insurance Jobs

Find similar Staff Product Data Analyst, Fraud & Surveillance jobs: