Polymarket · New York
Data & AIDataFullTimeposted 3w ago
Polymarket is the world's largest 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.
Polymarket is looking for a Senior Financial Data Analyst to sit between our finance team and our data warehouse. You'll build and own the reporting layer that finance runs on, turning raw platform, on- and off-chain trading activity, and general ledger data into clean, reconciled financial reporting that people can trust without checking it by hand first.
The other half of the role is analytical. You'll be the person who understands how fees, incentives, and promotions actually flow through to revenue and retention, including what a promotion cost, what it returned, and whether the traders it brought in stayed. And you'll do it in a fast-moving environment where new products and incentive structures launch constantly.
Build and maintain the financial reporting layer in our data warehouse, including the modeled tables finance relies on for close, forecasting, and board reporting
Work across the general ledger and platform data to reconcile what the business recorded against what actually happened on the platform
Translate raw transaction, fee, and trading activity data into clean financial reports that need no manual cleanup before anyone can use them
Analyze fee structures and how they affect volume, revenue, and trader behavior
Measure the return on incentives and promotions, including what they cost, what revenue they drove, and whether the traders they acquired retained
Partner with finance through monthly close, variance analysis, and the numbers that feed forecasts and investor reporting
Replace ad hoc requests with recurring reporting, working with analytics engineers to promote it into the modeled layer
Write end-to-end documentation that’s clear and thorough enough that anyone on the team can pick up your reports and models without friction
7+ years in data analysis/science, financial analysis, or a similar role, with production experience building reporting that a finance team depends on
Expert SQL. You can work through complex joins across transaction-level data without supervision
Data science background including causal inference, quasi-experimental methods, or predictive modeling in Python or R
Working knowledge of accounting fundamentals including general ledger structure, accruals, revenue recognition. You’re comfortable enough to reconcile a report and recognize when it is wrong
Experience building in a modern cloud data warehouse such as Databricks, Snowflake, BigQuery, or ClickHouse
A high bar for accuracy. You reconcile before you publish, and you know which numbers cannot be off by a dollar
Comfort translating between finance and engineering, where the same word often means two different things.
Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace
(Plus) Experience with dbt or similar transformation tooling
(Plus) Familiarity with on-chain data or crypto accounting
(Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial products
Competitive salary & equity
Unlimited PTO
Full Health, Vision, & Dental coverage
401k match
Hardware setup: new MacBook Pro, big display, & accessories
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.