FP&A Data Engineer

About Us

Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we're building the products and services to make that future a reality.

Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S.

We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.

Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.

What We Value

We are a diverse team of free thinkers and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach.

• Seek Excellence
• Be Selective To Be Effective
• Be Highly Aligned, Loosely Coupled
• Disagree Transparently
• Encourage Independent Decision-Making
• Build Dream Teams

The Role

Working as part of the FP&A team, you will be on the frontlines of maintaining and developing data pipelines, financial models and automated reporting covering our various business units – with a focus on trading and protocol services. Deliveries will directly feed management reporting whose audience includes individual traders/teams and company executives.

A candidate should have experience developing Python/SQL-based solutions, and a detailed working knowledge of core data engineering concepts including relational and non-relational data structures, ETL processes, and unit/integration testing.

You should be able to conceptualize the "big picture" and translate concepts into detailed tactical execution plans while maintaining a high degree of accuracy. You should be comfortable working in a fast-paced environment and have the ability and "grit" necessary to manage multiple high priority tasks.

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
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work

Requirements

• 6+ years of progressive data engineering experience with deep expertise in Python and SQL
• 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
• Highly detailed oriented with excellent communication skills

Nice to Have

• Experience with Databricks / Spark / Docker
• An understanding of data visualization tools – PowerBI, Tableau, etc.
• Knowledge of cryptocurrency
• Experience working at a high growth startup / tech company

Compensation

Galaxy is open to hiring either a VP or Director for this position.

• VP: base salary range $175,000-$200,000, discretionary annual bonus on top
• Director: base salary range $225,000-$250,000, discretionary annual bonus on top

The base salary ranges included above will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.

Benefits

• Competitive base salary and discretionary bonus
• Flexible Time Off (unlimited paid vacation days)
• Company paid holidays (11)
• Company paid sick leave
• Company-paid health and protective benefits for employees, partners, and other dependents
• 3% 401(k) company contribution
• Competitive family planning benefits for US employees
• Generous paid Parental Leave
• Free virtual coaching and counseling sessions through Headspace
• Opportunities to learn about the Crypto industry
• Free daily snacks in-office
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

Benefits may vary depending on location.