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Managed data infrastructure that gives prediction markets and betting exchanges a trusted single source of truth for analytics and fraud detection.
Added May 23, 2026
3 signals
Prediction markets and betting exchanges struggle to build accurate, scalable data pipelines that can serve as a single source of truth across analytics, fraud, and engineering teams. Without trusted infrastructure, fraud specialists can't reliably investigate multi-accounting and bonus abuse, and analytics leads can't deliver crisp takeaways to leadership.
A purpose-built data platform for real-money exchanges that ingests betting events, account activity, and market data into validated pipelines with built-in lineage and quality checks. It exposes a unified data layer that powers fraud investigations, analytics dashboards, and developer-facing APIs for algorithmic traders without each team rebuilding its own ETL.
Prediction markets like Novig, Kalshi, and Polymarket are scaling rapidly in the US, and each is hiring analytics, fraud, and platform engineers in parallel — signaling demand for shared infrastructure rather than bespoke in-house stacks.
About the Role This is an opportunity to help build out the fraud and risk function at one of the fastest-growing prediction markets in the country. You'll investigate multi-accounting, bonus abuse, and suspicious betting patterns — digging into the data, piecing together what's actually going on, and making the call on how to handle it. Every case sharpens the systems that keep the exchange fair and protect real users. This is perfect for someone who likes investigative work, trusts their judgment under pressure, and wants ownership over a function that's still being built. You're the person we turn to when something looks off and needs a clear-eyed person to figure out why.
Build and maintain a developer-first API experience for algorithmic trading and power users
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