G
FP&A Data Engineer
Galaxy Digital
📍 New York, NYMid LevelFull-timeFinance / AnalystUnited States
💰 $175K - $200K
blockchaindeficustodytokenizationinstitutionalweb3cryptodigital assets
Posted April 28, 2026 · Closes July 27, 2026
About the Role
Galaxy Digital is hiring a FP&A Data Engineer, based in New York, NY. Who We Are:Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence.
Responsibilities
- Architect and own the FP&A insights data warehouse, establishing the single source of truth for firmwide management reporting, PnL analytics, budgeting, KPI tracking, and other strategic business intelligence.
- Leverage Python and SQL to build and evolve complex PnL attribution and KPI generation models to drive management reporting across multiple reporting cadences (daily, weekly, quarterly).
- Implement automated reconciliation frameworks ensuring data integrity across FP&A reporting systems, reducing manual processes and operational risk.
- Manage cross-functional initiatives partnering with Technology teams to modernize legacy FP&A Excel and Python models, defining technical requirements and architectural standards.
- Integrate best practices in data governance, version control, and testing across all FP&A technical development workflows.
- Provide easily accessible data for wider team, to support ad-hoc analyses for the business and CFO’s organization.
- Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Requirements
- 6+ years of progressive data engineering experience with deep expertise in Python and SQL
- We are open to hiring either a VP or Director for this position VP: base salary range $175,000-$200,000, discretionary annual bonus on top Dir: base salary range $225,000-$250,000, discretionary annual bonus on top
- VP: base salary range $175,000-$200,000, discretionary annual bonus on top
- Dir: base salary range $225,000-$250,000, discretionary annual bonus on top
- Familiarity of various asset classes (FX, futures, options, etc.) and how to model their economic impact on a firm (PnL and capital).
- Strong analytical skills and experience working with large, unstructured datasets including data pipeline development to support insight generation
- Intellectually curious self-starter, comfortable in ambiguity and a fast-paced environment
Ready to apply?
Join The Token Playbook to apply with your professional profile and get an AI-powered fit score.