Senior Data Scientist / Analyst, Institutional

Job description

ABOUT POLYMARKET Polymarket 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 ROLE Polymarket 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 DO - Own the analytics on our largest makers, takers, and brokerages, and be the internal source of truth on how each relationship is performing - Build the account-level view of every major counterparty — volume, flow composition, spread capture, fee and rebate economics, and how each has trended over time - Monitor counterparty health and surface concentration risk, deteriorating engagement, or churn signals early enough for the team to act on them - Analyze trading behavior to understand how each participant actually makes money on our platform, and whether the terms we have given them still make sense - Support 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 give - Quantify how institutional flow affects the broader market, including liquidity, spreads, and the experience of retail traders on the other side of it - Work with analytics engineers to turn recurring relationship reporting into modeled datasets, so account reviews do not start from scratch every quarter - Own documentation end-to-end — writing clearly and thoroughly enough that anyone on the team can pick up your analysis without friction WHAT WE'RE LOOKING FOR - 7+ years in analytics, trading, or counterparty analysis, ideally at an exchange, trading venue, brokerage, or market making firm - Expert SQL — you can work directly against order book and transaction-level data without supervision - Deep understanding of how professional participants make money — spread capture, adverse selection, inventory risk, and the economics of providing liquidity - Credibility in a technical conversation with a sophisticated counterparty — you can hold your own with a firm's own quants - Commercial instinct — you can look at a relationship and articulate what it is worth to us and where the leverage sits - Strong communication and discretion, including with sensitive counterparty information and in front of external partners - Comfortable 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 products BENEFITS - Competitive salary & equity - Unlimited PTO - Full Health, Vision, & Dental coverage - 401k match - Hardware setup: new MacBook Pro, big display, & accessories