Staff Market-Surveillance Data Analyst (Hybrid, Real-Time)

Hidden Jobs; United States; Hybrid; USD 162,000 - 212,000; Full time

Benefits offered by this job

401(k) with company match

PTO 23 days + holidays

Parental leave

Job summary

Hidden Jobs is seeking a Staff Product Data Analyst to own the in-house detection layer for market abuse surveillance in a hybrid Chicago setting. You will design rules, validate detections with partners, and deliver real-time reporting while reducing false positives in dynamic markets.

The ideal candidate has 10+ years in data analytics, strong SQL, and hands-on experience with cloud data warehouses. Preference for fintech, trading, or risk-focused backgrounds and ability to communicate to

Qualifications

• 10+ years in data analytics or data science, preferably in trading, fraud, risk, fintech, or market surveillance.
• Strong SQL and hands-on experience with a cloud data warehouse such as BigQuery or Athena.
• Deep trade-surveillance or market-risk experience with hands-on knowledge of patterns and their benign lookalikes.
• Ability to design detection rules or anomaly models and defend them analytically, including precision/recall tradeoffs, thresholds, and validation.
• Experience turning technical findings into clear, concise reporting for partners and executives.

Responsibilities

• Build and evolve detection logic for market-abuse patterns including wash trading, hedging, reverse trading, collusion, and coordinated accounts.
• Own end-to-end partner-facing surveillance reporting, progressing from standardized end-of-day reports toward real-time monitoring.
• Work directly with partner firms to validate true and false positives, calibrate detection quality, and tune thresholds and rules.
• Translate observed fraud patterns into precise, tunable rules across matching criteria, hold-time thresholds, recurrence windows, and P&L severity scoring.
• Maintain data quality and hygiene across the surveillance datasets that feed detection and reporting.
• Investigate flagged cases end-to-end and produce evidence-backed findings that partners and internal leadership can act on.
• Continuously reduce false positives and surface emerging fraud patterns as bad actors adapt.

Skills

SQL

Trade surveillance

Data analytics

Fraud/Risk experience

Python

Education

Master's degree in analytics

Tools

BigQuery

Athena

Job description

Hidden Jobs is seeking a Staff Product Data Analyst to own the in-house detection layer for market abuse surveillance in a hybrid Chicago setting. You will design rules, validate detections with partners, and deliver real-time reporting while reducing false positives in dynamic markets.

The ideal candidate has 10+ years in data analytics, strong SQL, and hands-on experience with cloud data warehouses. Preference for fintech, trading, or risk-focused backgrounds and ability to communicate to