FP&A Data Engineer
About The Position
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 (relational and non-relational data structures, ETL processes, 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. This person should be comfortable working in a fast-paced environment and have the ability and “grit” necessary to manage multiple high priority tasks.
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 Haves
- 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
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
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
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
