Senior Data Scientist, Finance & Strategy

About the role We’re looking for a Senior Data Scientist to be the dedicated analytics partner to Chime’s Investor Relations and Corporate Strategy teams. As a public company, Chime reports its performance to the investor community every quarter, and that story has to rest on data that is accurate, consistent, and well understood.

You’ll build a holistic view of how the business is performing, use internal data to help Chime communicate its progress through earnings and public disclosures, and bring analytical rigor to high-priority, high-visibility projects that shape Chime’s strategic direction. You’ll work with teams across Chime, from Finance and Product to Marketing, Risk, and Operations, to understand what drives performance in every part of the business and how to measure it.

It is not an experimentation-focused role: the work centers on business performance, financial and operating metrics, and strategic analysis rather than A/B testing. You’ll thrive here if you pair a high bar for precision with the agility to move quickly as priorities shift. In this role, you can expect to - Build a holistic, company-wide view of Chime’s performance, connecting member growth, engagement, and product usage to the financial and operating metrics that matter most to the business.

• Partner with Investor Relations to turn internal data into how Chime communicates its progress to investors, supporting quarterly earnings materials, shareholder communications, and public disclosures.
• Be an arbiter of truth with data, making sure the metrics Chime shares externally are precisely defined, consistent across sources, and able to withstand scrutiny.
• Partner with Corporate Strategy on high-priority, high-visibility projects with strategic impact for Chime, bringing structure and data to ambiguous, open-ended questions.
• Work across every part of Chime, partnering with Finance, Product, Marketing, Risk, Operations, and other Analytics teams to understand how each area operates and how its performance should be measured.
• Build durable, reusable data models and reporting so recurring questions get answered consistently and efficiently.

To thrive in this role, you have - 5+ years of relevant experience, including hands-on work in data-focused roles delivering analyses for an executive audience.

• Prior experience in management consulting, investment banking, or a similar analytical role before moving into data (highly valued).
• Strong financial acumen: fluency in financial statements, unit economics, and the KPIs investors use to evaluate business performance. You reprioritize quickly, perform well under tight deadlines, and bring structure to open-ended problems.
• Expert-level SQL and proficiency in Python for analysis.
• Strong business intuition and the ability to think holistically about how a company creates value (FinTech or financial services experience a plus).
• Excellent communication and data storytelling skills, with experience distilling complex analyses into clear, concise narratives for senior leaders. A track record of building trusted relationships and working cross-functionally with many teams at once.
• Experience building data models in dbt, and fluency with AI coding and analytics tools (e. g. ,