Senior Data Scientist / Analyst, Institutional
Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Aug 12, 2026. Polymarket scores B on the Alion truth index.
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
Pay 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.