Senior Data Scientist / Analyst, Institutional

Polymarket; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Competitive salary & equity

Unlimited PTO

Health, Vision, Dental coverage

401k match

MacBook Pro setup

Job summary

Polymarket in New York seeks a Senior Data Scientist/Analyst to own analytics behind institutional relationships—market makers, takers, and brokerages—understanding how they trade and profit on the platform.

You will analyze order-level flow, support partner reviews, and explain numbers in business terms to guide negotiations. The role blends rigorous data work with commercial acumen.

Qualifications

• 7+ years in analytics, trading, or counterparty analysis at a finance or market-making firm.
• Expert SQL — work directly against order book and transaction-level data.
• Deep understanding of how professional participants make money — spread capture and liquidity economics.
• Credibility in technical conversations with sophisticated counterparties.
• Commercial instinct to value relationships and identify leverage.
• Strong communication and discretion with sensitive counterparty information.
• Experience in fintech, crypto, or data-heavy financial products is a plus.
• Familiarity with on-chain data or blockchain analytics is a plus.
• Python or R for deeper statistical work is a plus.

Responsibilities

• Own analytics on our largest makers, takers, and brokerages and be the internal source of truth on relationship performance.
• Build account-level views of major counterparties—volume, flow, spreads, fee economics, and trends.
• Monitor counterparty health and surface churn or engagement signals early.
• Analyze trading behavior to understand how partners monetize on the platform and if terms hold.
• Support institutional reviews and negotiations with data-backed insights on counterparty value.
• Quantify how institutional flow affects market liquidity and retail trader experience.
• Collaborate with analytics engineers to automate recurring reports.
• Own documentation end-to-end so teammates can pick up analyses easily.

Skills

7+ years analytics

SQL proficiency

Trading/market understanding

Commercial acumen

Communication

Desk-level partner negotiation

Fast-moving environment

Tools

SQL

Python

R

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

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.