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 teamAt its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe's financial capabilities. As part of Treasury Finance's AI and Quantitative Analytics team, you'll work at the intersection of finance, artificial intelligence, quantitative reasoning, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy.
What you’ll doWithin Treasury Finance AI and Quantitative Analytics, you'll leverage your finance, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe's treasury capabilities. You'll develop AI-powered tools and quantitative models, autonomous agents, and analytics that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, 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 treasury and finance domain expertise to identify high-impact opportunities where AI can be integrated with quantitative tools to solve complex treasury challenges
- Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale our operations
- Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time treasury insights and actionable intelligence
- Work across Treasury Finance and partner teams to scope AI-driven solutions that allow us to optimize and scale our most complex, data-driven financial workflows
- Develop targeted observability and performance analytics for core treasury workstreams, providing key insights to senior leadership
- Leverage heterogeneous and unstructured data to develop business insights and recommendations
- Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure for core treasury workstreams
We're looking for a technical problem-solver with treasury, quantitative reasoning, and finance expertise who's excited about leveraging artificial intelligence and 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- Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or a related technical field with 6–8 years of work experience in software development, data science, or treasury and finance roles
- Working familiarity with financial risk and capital markets concepts
- Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow
- Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems
- Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI
- Results-oriented, with a focus on delivering impact in a fast-paced environment
- Excellent communication skills for collaborating with finance, product, and engineering teams
- Highly organized, with attention to detail and the ability to manage tight deadlines
- Familiarity with the payments industry and fintech landscape
- Experience with Databricks and cloud platforms (AWS, GCP, Azure)
- Good understanding of development processes and best practices across engineering standards, code reviews, and testing
Skills Required
- Bachelor's degree in finance, mathematics, statistics, economics, engineering, or related technical field
- 6-8 years of work experience in software development, data science, or treasury and finance roles
- Working familiarity with financial risk and capital markets concepts
- Proficiency in Python
- Experience with AI/ML frameworks including PyTorch and TensorFlow
- Experience with Large Language Model frameworks such as LangChain or LangGraph
- Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI
- Experience shipping interactive data products/self-service analytics using Python frameworks (Streamlit, Dash, Gradio)
- Excellent communication skills and strong organizational abilities
- Familiarity with the payments industry and fintech landscape
- Experience with Databricks and cloud platforms (AWS, GCP, Azure)
- Understanding of engineering development processes, code reviews, and testing best practices
Stripe Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stripe and has not been reviewed or approved by Stripe.
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Healthcare Strength — Healthcare is positioned as comprehensive across mental, physical, and medical plans. Mental-health support is repeatedly surfaced as a meaningful part of overall coverage.
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Parental & Family Support — Parental leave and fertility benefits are highlighted as core elements of the package. Leave-related benefits are portrayed as a standout area of support for families.
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Fair & Transparent Compensation — Compensation is framed as a relative strength compared to other parts of the employee experience. Pay is frequently characterized as competitive and, for many roles, perceived as fair in absolute terms.
Stripe Insights
What We Do
Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies like Salesforce and Facebook—use the company’s software to accept online payments and run technically sophisticated financial operations in more than 100 countries. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Over the long term, Stripe aims to increase the GDP of the internet.
