Senior Data Scientist / Analyst, Markets

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

Benefits offered by this job

Competitive salary & equity

Unlimited PTO

Full Health, Vision, & Dental coverage

401k match

Hardware setup: new MacBook Pro, big.

Hardware setup: new MacBook Pro, big

Job summary

Polymarket is seeking an experienced Analytics/Markets Analyst to own the analytical layer behind market design decisions. You will model liquidity dynamics, manage liquidity rewards programs, and build dashboards to measure market health across dozens of markets daily.

You will drive end-to-end analyses from scoping questions to actionable outputs, and collaborate with non-data teams in a fast-paced, high-stakes environment where accuracy and speed matter.

Qualifications

• 7+ years in analytics, data science, market operations, or exchange strategy.
• Expert SQL with ability to query high-volume transaction and order-book data.
• Strong Python for data analysis, statistical modeling, and large datasets.
• Deep knowledge of market structure: order books, spreads, liquidity, market design tradeoffs.
• Ability to reason about incentive design for rewards programs.
• Experience owning analyses end to end, from scoping to actionable outputs.
• Comfort in a non-data team environment, setting own priorities.
• High accuracy bar for numbers that drive payouts.
• Ability to adapt in a fast-moving environment with changing business logic.
• Plus: experience at a prediction market, trading firm, or fund close to market structure.
• Plus: familiarity with automated market makers, CLOB, or DeFi exchanges.
• Plus: experience building or evaluating liquidity incentive programs.
• Plus: familiarity with on-chain data or blockchain analytics.

Responsibilities

• Model liquidity dynamics to identify drivers of healthy order flow and inform liquidity rewards.
• Own analytics behind liquidity rewards and rebates, including payout sizing and market depth.
• Build and maintain recurring reports on market health, volume, liquidity, spread, and participation.
• Audit new market listings against historical data and recommend actions.
• Diagnose underperforming markets to identify root causes.
• Track coverage against competitors and identify critical gaps to close.
• Develop frameworks for evaluating what makes a market work and apply consistently.
• Partner with Markets weekly to scope data questions and deliver decision-ready outputs.
• Identify data collection gaps and collaborate with engineering to close them.
• Own documentation end-to-end for clarity and usability.

Skills

SQL

Python

Market structure

End-to-end analytics

Prediction market experience

Blockchain analytics

Job description

About Polymarket

Polymarket is the world's fastest growing prediction market platform. 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 quickly, 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

The Markets team is responsible for what gets listed on Polymarket, how those markets are structured, and whether they actually work. That means thinking hard about liquidity, market design, and what separates a market that generates real price discovery and volume from one that gets limited traction. This role sits inside that team as its dedicated analyst, owning the analytical layer behind nearly every decision they make.

The markets team needs someone who can build the infrastructure for understanding market health, model the dynamics that drive liquidity, and help the team make smarter calls on what to list, what we pay liquidity providers, where our catalog is thinner than the competition's, and when a market is simply broken. You will not be handed a backlog of tickets. You will be expected to identify the questions that matter, go answer them, and come back with something decision-ready.

This is a high-ownership role for someone who thinks seriously about how markets work. If you have spent time at a prediction market, a trading firm, or a fund where you were close to market structure questions, this will feel familiar. Expect a fast-moving environment where thousands of new markets launch every day and the incentive structures behind them change with them.

What You'll Do

• Model liquidity dynamics across markets to identify what drives healthy order flow, and use that to inform how we structure and adjust liquidity rewards

• Own the analytics behind our liquidity rewards and rebate programs, including what we pay out, what depth and spread we get for it, how rebates shape maker behavior, and whether the incentives are priced correctly, including watching for programs being gamed before it shows up in the payout numbers

• Build and maintain recurring reporting on market health and market-by-market performance, including volume, liquidity, spread, trader participation, and resolution outcomes so the team has an ongoing view of which markets earn their place

• Audit new market listings against historical and comparable market data, and recommend approval, structural adjustment, or rejection

• Diagnose underperforming markets to root cause, whether that is poor resolution criteria, thin liquidity, bad timing, or something else entirely

• Track competitive listing coverage to assess where our catalog is thinner than the competition's, which of those gaps actually matter, and how quickly we close them

• Develop frameworks for evaluating what makes a market work, so those standards can be applied consistently across listings and product decisions

• Partner with the Markets team weekly to scope incoming data questions, prioritize them, and deliver outputs that lead to a decision rather than just a chart

• Identify gaps in our data collection or instrumentation and work with engineering to close the ones that matter for market analysis

• 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, data science, market operations, or exchange strategy, ideally somewhere close to market structure questions

• Expert SQL. You can work directly against high-volume transaction and order book data without supervision

• Strong Python for data analysis, statistical modeling, and working with large datasets

• Deep, working knowledge of market structure. You can reason about order books, spreads, liquidity provision, and market design tradeoffs without needing a primer

• Ability to reason about incentive design: what a rewards program buys, what it costs, and how a sophisticated participant would game it

• Experience owning analyses end to end, from scoping an ambiguous question to handing a stakeholder something they can act on

• Comfort working embedded in a non-data team where you are setting your own agenda and managing your own priorities

• A high bar for accuracy. These numbers drive real payouts, and you know which ones cannot be wrong

• Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace

• (Plus) Experience at a prediction market platform, trading firm, or fund where you were close to market structure or liquidity questions

• (Plus) Familiarity with automated market makers, CLOB mechanics, or decentralized exchange design

• (Plus) Experience building or evaluating liquidity incentive programs

• (Plus) Familiarity with on-chain data or blockchain analytics

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.