Senior Data Scientist / Analyst, Finance

About the Company

Polymarket is the world's largest prediction market platform, enabling 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. They are growing quickly, both in terms of volume ($115B traded to date) and adoption as an alternative news source, with an ambition to become a ubiquitous beacon of truth in global media.

About the Role

Polymarket is looking for a Senior Financial Data Analyst to sit between their finance team and data warehouse. You will 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 manual checking. The other half of the role is analytical, involving understanding how fees, incentives, and promotions flow through to revenue and retention, including what a promotion cost, what it returned, and whether the traders it brought in stayed, all within a fast-moving environment with constant new product and incentive launches.

Salary

$200K – $300K annually, plus equity and benefits

Responsibilities

• Building and maintaining the financial reporting layer in the data warehouse, including modeled tables for close, forecasting, and board reporting.
• Working across the general ledger and platform data to reconcile business records against actual platform activity.
• Translating raw transaction, fee, and trading activity data into clean financial reports.
• Analyzing fee structures and their effect on volume, revenue, and trader behavior.
• Measuring the return on incentives and promotions (cost, revenue, acquired trader retention).
• Partnering with finance through monthly close, variance analysis, and numbers for forecasts and investor reporting.
• Replacing ad hoc requests with recurring reporting, promoting it into the modeled layer.
• Writing clear and thorough end-to-end documentation.

Qualifications

• 7+ years in data analysis/science, financial analysis, or a similar role, with production experience building reporting a finance team depends on.
• Expert SQL (complex joins across transaction-level data).
• 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.
• Experience building in a modern cloud data warehouse such as Databricks, Snowflake, BigQuery, or ClickHouse.
• A high bar for accuracy.
• Comfort translating between finance and engineering.
• Comfortable operating in a fast-moving environment where business logic changes frequently.
• (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.