Senior Data Scientist / Analyst, Finance

About the role

Polymarket operates as a leading prediction market platform where users can trade on outcomes related to various real-world events. The company is expanding rapidly, having facilitated $115 billion in trades, and aims to establish itself as a trusted source of information in global media.

In this role, you will be responsible for building and maintaining the financial reporting layer, reconciling business records with actual platform activity, and producing clear financial reports. Collaborating closely with the finance team, you will analyze fee structures and assess the impact of incentives on trader behavior.

The salary range for this role is between $200,000 and $300,000 annually, plus equity and benefits.

Skills that matter here

• SQL: This role requires expert SQL skills to perform complex joins on transaction-level data.
• Predictive Modeling: You will apply predictive modeling techniques to analyze financial data.
• Financial Analysis: Financial analysis skills are essential for evaluating fee structures and reporting.
• Python: Python will be used for data science tasks, including causal inference and modeling.
• Data Analysis: The role involves extensive data analysis to produce accurate financial reports.
• Cloud Data Warehousing: Experience with cloud data warehouses like Databricks, Snowflake, or BigQuery is required.

Who this role suits

• A candidate with over 7 years of experience in data analysis or financial analysis.
• Someone who values accuracy and has a strong attention to detail.
• A professional comfortable in fast-paced environments with frequently changing business logic.
• An individual who can effectively bridge the gap between finance and engineering.

From the employer

• 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.

• 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.

• Salary: $200K – $300K annually, plus equity and benefits.