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About the Role

Join Stripe's Treasury Finance team as part of the AI and Quantitative Analytics group. You will work at the intersection of finance, AI, and product development to build autonomous agents and intelligent solutions that enhance treasury capabilities and support global economic growth.

Responsibilities

• Apply treasury and finance domain expertise to identify high-impact opportunities for AI integration 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 operations.
• Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) for real-time treasury insights.
• Collaborate with Treasury Finance and partner teams to scope AI-driven solutions for optimizing and scaling 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.

Requirements

• Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or a 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 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 (preferred).
• Experience with Databricks and cloud platforms (AWS, GCP, Azure) (preferred).
• Good understanding of development processes and best practices across engineering standards, code reviews, and testing (preferred).

Skills

• Python
• AI/ML frameworks (PyTorch, TensorFlow)
• Large Language Model (LLM) frameworks (LangChain, LangGraph)
• Deep learning
• Natural language processing
• Generative AI
• Streamlit
• Dash
• Gradio

Experience Level

• 6-8 years

Education Level

• Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or a related technical field

About the Company

• Stripe is a financial infrastructure platform for businesses.
• Millions of companies use Stripe to accept payments, grow revenue, and accelerate new business opportunities.
• Stripe's mission is to increase the GDP of the internet.