About The Position

We are seeking a data-driven Financial Analyst to join our Strategic Finance team. In this role, you will be the primary Finance partner for SoFi’s Crypto business unit. You will be responsible for building the models that drive our forecasting, tracking the unit economics of our digital asset products, and providing the "boots-on-the-ground" financial visibility needed to scale this business. This is a high-visibility role that requires a blend of rigorous financial modeling and the ability to navigate the fast-moving Crypto landscape.

Requirements

  • Minimum 2+ years of experience in a highly analytical environment (Investment Banking, Management Consulting, or Corporate FP&A/Strategic Finance).
  • Extensive Crypto experience with a solid understanding of ecosystems (exchanges, wallets, protocols) and how these business models generate revenue.
  • Expert-level Excel skills; you should be comfortable building complex, dynamic models from scratch that are easy for others to audit.
  • Proficiency in (or a strong desire to learn) SQL to pull and manipulate your own data from internal databases.
  • The ability to pivot quickly in a startup-like environment while maintaining the professionalism of a public financial institution.
  • Bachelor's degree in Economics, Finance, Accounting, or a related field. CFA or CPA is a plus.

Nice To Haves

  • Experience with Crypto-native software.
  • Previous experience in Fintech or a regulated financial services environment.
  • Deep understanding of P&L dynamics.

Responsibilities

  • Maintain and enhance the models for the Crypto business, ensuring accuracy in monthly, quarterly, and long-range forecasts.
  • Identify, track, and report on critical business drivers (e.g., MAU, take rates, trading volume, and CAC).
  • Conduct deep-dive monthly variance analysis (Actuals vs. Budget) and communicate the "why" behind the numbers to Finance leadership.
  • Support the evaluation of new crypto product launches or feature sets by building ROI models and sensitivity analyses.
  • Partner with Data Science and Engineering to automate Crypto-native data pipelines, moving away from manual spreadsheets toward scalable reporting in tools like Tableau.
  • Collaborate with the Accounting and Risk teams to streamline month-end close processes and ensure regulatory capital requirements are monitored.
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