Senior Data Scientist / Analyst, Institutional

About PolymarketPolymarket is the world's fastest growing prediction market. 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 ($115B traded to date) 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 RolePolymarket is looking for a Senior Data Scientist / Analyst to own the analytics behind our institutional relationships — the market makers, large takers, and brokerages that account for a disproportionate share of platform volume. You'll be the person who understands each of these counterparties in depth: how they trade, how they make money with us, and whether the relationship is getting healthier or weaker.This is a role for someone comfortable on both sides of the conversation — rigorous enough to analyze flow at the order level, and commercial enough to sit in a partner review and explain what the numbers mean for the terms of the relationship. And you'll do it in a fast-moving environment where the institutional side of the business is being built as you go.What You'll DoOwn the analytics on our largest makers, takers, and brokerages, and be the internal source of truth on how each relationship is performingBuild the account-level view of every major counterparty — volume, flow composition, spread capture, fee and rebate economics, and how each has trended over timeMonitor counterparty health and surface concentration risk, deteriorating engagement, or churn signals early enough for the team to act on themAnalyze trading behavior to understand how each participant actually makes money on our platform, and whether the terms we have given them still make senseSupport the institutional team through reviews and negotiations with the analysis behind them — what a counterparty is worth, what they are asking for, and what we should be willing to giveQuantify how institutional flow affects the broader market, including liquidity, spreads, and the experience of retail traders on the other side of itWork with analytics engineers to turn recurring relationship reporting into modeled datasets, so account reviews do not start from scratch every quarterOwn documentation end-to-end — writing clearly and thoroughly enough that anyone on the team can pick up your analysis without frictionWhat We're Looking For7+ years in analytics, trading, or counterparty analysis, ideally at an exchange, trading venue, brokerage, or market making firmExpert SQL — you can work directly against order book and transaction-level data without supervisionDeep understanding of how professional participants make money — spread capture, adverse selection, inventory risk, and the economics of providing liquidityCredibility in a technical conversation with a sophisticated counterparty — you can hold your own with a firm's own quantsCommercial instinct — you can look at a relationship and articulate what it is worth to us and where the leverage sitsStrong communication and discretion, including with sensitive counterparty information and in front of external partnersComfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace(Plus) Experience with institutional pricing, fee tiers, or rebate program design(Plus) Familiarity with on-chain data or blockchain analytics(Plus) Python or R for deeper statistical work on trading behavior(Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial productsBenefitsCompetitive salary & equityUnlimited PTOFull Health, Vision, & Dental coverage401k matchHardware setup: new MacBook Pro, big display, & accessoriesPay Transparency Base salary range: $200,000 to $300,000 annually, plus equity and benefits.This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.LocationNew YorkEmployment TypeFull timeLocation TypeOn-siteDepartmentData