Senior Data Scientist / Analyst, Institutional
Polymarket New York, New York, United States
Software Development · 51-200 employees
About the role
You will own the analytics for institutional relationships, monitoring counterparty health, trading behavior, and profitability. Additionally, you will support the institutional team in negotiations and partner reviews by providing data-driven insights and modeled reporting.
What they look for
Requirements
The role requires 7+ years of experience in analytics or trading, with expert-level SQL skills and a deep understanding of financial market mechanics. Candidates should possess strong commercial instincts and the ability to communicate complex technical concepts to sophisticated institutional partners.
Benefits
Full 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
