The opportunity
At 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.
What you'll do
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
What they're looking for
- 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
