Senior Data Scientist / Analyst, Finance
You will build and own the financial reporting layer that finance uses for close, forecasting, and board reporting. You will reconcile general ledger and platform data, analyze fees and incentives, measure promotion returns and retention, support monthly close and variance analysis, and replace ad hoc requests with recurring reporting.
Responsibilities
- Build and maintain the financial reporting layer in the data warehouse
- Reconcile general ledger and platform data
- Translate transaction, fee, and trading activity into financial reports
- Analyze fee structures and their effects on volume, revenue, and trader behavior
- Measure the return on incentives and promotions
- Partner with finance on monthly close and variance analysis
- Support forecasts and investor reporting
- Replace ad hoc requests with recurring reporting
- Write end-to-end documentation
Requirements
- 7+ years in data analysis, data science, financial analysis, or a similar role
- Production experience building finance reporting
- Expert SQL
- Data science experience with causal inference, quasi-experimental methods, or predictive modeling
- Python or R
- Knowledge of general ledger structure, accruals, and revenue recognition
- Experience with Databricks, Snowflake, BigQuery, or ClickHouse
- Financial reconciliation and accuracy skills
- Experience working across finance and engineering
- Experience in a fast-moving environment
Benefits
- Competitive salary and equity
- Unlimited PTO
- Full health, vision, and dental coverage
- 401k match
- New MacBook Pro, big display, and accessories