Senior Data Scientist / Analyst, Finance — Polymarket

The Bitcoin Street Journal; New York (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Equity

Unlimited PTO

MacBook Pro setup

Job summary

Polymarket is seeking a Senior Financial Data Analyst to bridge finance and data warehousing, turning platform activity and ledgers into trusted financial reports. You’ll own the reporting layer and model revenue flows from fees, incentives, and promotions, while supporting monthly close and investor reporting in a fast-moving crypto environment.

You’ll work across GL and platform data, reconcile discrepancies, and document reports and models for the team. Competitive salary and equity offered.

Qualifications

• 7+ years in data analysis/science or related field with production reporting experience for finance.
• Strong SQL skills for complex joins on transaction-level data.
• Experience with accounting fundamentals and GL reconciliation.
• Experience building in modern cloud data warehouses (Databricks, Snowflake, BigQuery).
• Knowledge of crypto accounting and on-chain data is a plus.
• Ability to translate finance concepts for engineers and business stakeholders.

Responsibilities

• Build and maintain the financial reporting layer in the data warehouse for close, forecasting, and board reporting.
• Reconcile general ledger data with platform activity and ensure accurate reporting.
• Translate raw transaction and trading activity into clean financial reports with minimal cleanup.
• Analyze fee structures, incentives, and their impact on volume and revenue.
• Measure ROI of promotions and retention of traders acquired.
• Collaborate with finance on monthly close, variance analysis, and forecasts.
• Replace ad hoc requests with recurring reports and collaborate with analytics engineers.
• Create end-to-end documentation for reports and models.

Skills

Advanced SQL

Data warehousing

Python/R modeling

Financial analysis

Accounting basics

dbt tooling

On-chain data

Engineering collaboration

Forecasting & reporting

Tools

Databricks

Snowflake

BigQuery

ClickHouse

dbt

Job description

• Location: NY New York United States
• Sector: CryptoPerp
• Source: web3.career

About Polymarket

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.

About the Role

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.

What You’ll Do

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

What We’re Looking For

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

Hardware setup: new MacBook Pro, big display, & accessories