PolymarketVerified Source

Senior Financial Data Analyst, Crypto & Prediction Markets

Onsite · New York, New York
Posted August 13, 2026
payroll

Overview

You will own the financial reporting layer at Polymarket, the world's largest prediction market platform with $115B traded to date. You'll sit between finance and the data warehouse, turning raw on-chain and off-chain trading data plus general ledger entries into clean, trusted reports. You'll also run causal analyses on fees and incentives to show what drives revenue and retention. This role stands out because you'll work at the frontier of crypto and prediction markets, where new products launch constantly and your models directly shape business decisions.

What You'll Do8

  • 1Build the financial reporting layer in our Snowflake warehouse, modeling tables that finance uses for close, forecasting, and board reporting.
  • 2Reconcile general ledger records against actual platform activity, flagging and fixing discrepancies down to the dollar.
  • 3Translate raw transaction, fee, and trading data into clean financial reports that require zero manual cleanup.
  • 4Analyze fee structures and their impact on volume, revenue, and trader behavior using causal inference methods.
  • 5Measure the return on incentives and promotions, tracking cost, revenue lift, and trader retention.
  • 6Partner with finance through monthly close and variance analysis, feeding numbers into forecasts and investor reporting.
  • 7Replace ad hoc requests with recurring reporting, using dbt to promote models into the production layer.
  • 8Write end-to-end documentation so any teammate can pick up your reports without friction.

Requirements10

  • 17+ years in data analysis or financial analysis, with production experience building reporting that finance depends on.
  • 2Expert SQL: you handle complex joins across transaction-level data without supervision.
  • 3Data science background including causal inference and quasi-experimental methods in Python or R.
  • 4Working knowledge of accounting fundamentals: general ledger structure, accruals, revenue recognition.
  • 5Experience in a modern cloud warehouse: Snowflake, Databricks, BigQuery, or ClickHouse.
  • 6A high bar for accuracy: you reconcile before you publish and know which numbers cannot be off by a dollar.
  • 7Comfortable translating between finance and engineering, where the same word means different things.
  • 8Bonus: Experience with dbt or similar transformation tooling.
  • 9Bonus: Familiarity with on-chain data or crypto accounting.
  • 10Bonus: Experience in fintech, crypto, prediction markets, or other data-intensive financial products.

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationNew York, New York

Required Skills

sqlpythonrsnowflakedbt
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