FP&A Data Engineer

About 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.

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

Qualifications

• 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 a plus

Skills

• Python
• SQL

Benefits

• Competitive base salary and discretionary bonus
• Flexible Time Off (i.e. 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

Pay

• Base Salary Range: $175,000 - $250,000 USD

Schedule

• Full-time