Senior Markets Data Analyst

ABOUT POLYMARKET Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We're growing fast — both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire. ABOUT THE ROLE The Markets team is responsible for what gets listed on Polymarket, how those markets are structured, and whether they actually work — thinking hard about liquidity, market design, and what separates a market that generates real price discovery and volume from one that gets limited traction. This role sits inside that team as its dedicated analyst, owning the analytical layer behind nearly every decision they make. You'll build the infrastructure for understanding market health, model the dynamics that drive liquidity, and help the team make smarter calls on what to list, what we pay liquidity providers, and when a market is simply broken. You will not be handed a backlog of tickets — you'll identify the questions that matter, go answer them, and come back with something decision-ready. WHAT YOU'LL DO - Model liquidity dynamics across markets to identify what drives healthy order flow, and use that to inform how we structure and adjust liquidity rewards - Own the analytics behind our liquidity rewards and rebate programs — what we pay out, what depth and spread we get for it, how rebates shape maker behavior, and whether the incentives are priced correctly — including watching for programs being gamed before it shows up in the payout numbers - Build and maintain recurring reporting on market health and market-by-market performance, including volume, liquidity, spread, trader participation, and resolution outcomes - Audit new market listings against historical and comparable market data, and recommend approval, structural adjustment, or rejection - Diagnose underperforming markets to root cause — poor resolution criteria, thin liquidity, bad timing, or something else entirely - Track competitive listing coverage to assess where our catalog is thinner than the competition's, which gaps actually matter, and how quickly we close them - Develop frameworks for evaluating what makes a market work so those standards can be applied consistently across listings and product decisions - Partner with the Markets team weekly to scope incoming data questions, prioritize them, and deliver outputs that lead to a decision rather than just a chart - Identify gaps in our data collection or instrumentation and work with engineering to close the ones that matter for market analysis - Own documentation end-to-end — writing clearly enough that anyone on the team can pick up your analysis without friction WHAT WE'RE LOOKING FOR - 7+ years in analytics, data science, market operations, or exchange strategy, ideally somewhere close to market structure questions - Expert SQL — you can work directly against high-volume transaction and order book data without supervision - Strong Python for data analysis, statistical modeling, and working with large datasets - Deep, working knowledge of market structure — you can reason about order books, spreads, liquidity provision, and market design tradeoffs without needing a primer - Ability to reason about incentive design: what a rewards program buys, what it costs, and how a sophisticated participant would game it - Experience owning analyses end to end, from scoping an ambiguous question to handing a stakeholder something they can act on - Comfort working embedded in a non-data team where you are setting your own agenda and managing your own prioriti…