About this role

Stripe is hiring a senior-level Financial Analyst in the finance function based in Seattle, WA. The posting calls out experience with Python, SQL, Databricks, LLMs.

Role: Financial Analyst
Function: finance
Level: senior
Track: Individual contributor
Employment: Full-time
Location: Seattle, WA
Department: 6420 Accounting

Job description

from Stripe careers

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Accounting Team is responsible for understanding and telling Stripe's financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow—supporting all products at Stripe, consulting on accounting implications and supporting teams' ability to make informed strategic decisions. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.

What you'll do

Our Accounting team is seeking an innovative embedded technical resource to help us scale for the future, in a fast-paced environment that's growing rapidly. You'll leverage your accounting, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe's accounting capabilities. You'll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights within a framework of financial reporting control. Working at the intersection of artificial intelligence, accounting, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet.

Responsibilities

Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges
Build using AI-powered tools and artificial intelligence solutions to automate accounting workflows, enhance controllership, and scale our operations
Design and deploy autonomous AI agents using frameworks that can reason, plan, and execute complex multi-step problems and enhance decision-making processes through understanding risk and maintaining effective financial reporting controls
Ship and maintain interactive data products and self-service analytics tools using SQL and Python frameworks (data visualization and dashboards, low-code application building frameworks) that provide real-time insights and actionable intelligence
Work across Accounting and partner teams to uncover efficiency opportunities, including AI use cases, document requirements, and translate complex financial workflows into well-controlled technical solutions
Partner with Accounting and SOX teams to assess and develop an effective internal controls approach to AI-based accounting solutions

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

10+ years of relevant experience, including 4+ years in accounting-related or adjacent roles (e.g., finance systems, process improvement), a B.A. or B.S. degree in Accounting, Finance, Finance Systems, or Information Systems, and fluency in U.S. GAAP
Advanced proficiency in SQL, including complex queries, CTEs, window functions, and joins, and familiarity with modern data tools such as Python, Databricks, and ETL and ELT data pipelines
Comprehensive understanding of AI fundamentals and experience with emerging AI and LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA
Excellent communication skills, both written and verbal, including the ability to convey financial concepts to financial and non-financial audiences, with a solution- and results-oriented mindset focused on delivering impact
Experience with internal controls, including design, implementation, and execution