Treasury Finance AI and Quantitative Analytics, Americas

The shape of it

In the posting’s own words

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. 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 it asks for · 8

• 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

Also a plus

• 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

What the job covers

• 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

Degree language

• 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

Tools and skills named

Words the posting leans on

• treasury16×
• finance14×
• quantitative6×
• analytics5×
• data5×
• engineering5×
• product5×
• solutions5×
• tools5×
• development4×
• enhance4×
• experience4×
• insights4×
• requirements4×
• scale4×
• treasury finance4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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