Job Description
Own fraud monitoring: design, build, and iterate dashboards.Run the reviews: perform scheduled reads of dashboards, triage anomalies, and flag emerging farming/cheat strategies not covered by current models.Report the intel: publish periodic anti-fraud reports with executive summaries.Validate patterns: deep-dive game telemetry to confirm suspected patterns and identify data signatures that distinguish them.Label at scale: conduct large-batch manual user reviews, deliver clean, reliable datasets for model training.Size the risk: estimate affected populations, economy, and severity; propose containment/mitigation priorities.Investigate incidents: handle false-positive appeals and external allegations; document findings, and recommend policy/model/data fixes.
Archetype. An analytical investigator who lives in SQL and dashboards, with inquisitive mindset and ability to think adversarially. Not a model builder but model‑adjacent: they establish monitoring, surface anomalies early, validate new farming/cheating signatures in data, create high‑quality labeled datasets, and summarize risk clearly for leadership.
Likely backgrounds. Trust & Safety analytics, product analytics, risk/fraud ops in fintech/e‑commerce, security operations (SOC) analytics.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Hard Skills
Advanced SQL (joins, windows, CTEs, …).Dashboarding (Tableau/Dash/…) and Python/R based data visualization.Solid statistics background (probability distributions, statistical inference, basic and practical anomaly detection, etc...)Exploratory data analysis and strong investigativeClear executive writing and cross‑functional communication.· Soft Skills
Risk and situational awareness; business acumen for understanding the severity and impact of.Persistence in routine case review / data annotation tasksStrong sense of ownership and responsibility for the antifraud mission
Nice‑to‑have:
Video game literacy
Anti‑cheat/fraud pattern recognition experience
Graph analysis
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.