Treasury Finance AI and Quantitative Analytics, Americas

Stripe
United States
Workplace: OnsiteFull timeFunction: Capital Markets, Trading & QuantExperience: 6-8 yearsEducation: bachelorsSkills: ["Communication","Results orientation","Organization","Attention to detail"]

Build AI-powered tools, quantitative models, and autonomous agents that enhance Stripe’s treasury capabilities. You’ll automate complex treasury workflows, improve risk management, and deliver self-service analytics and interactive data products for real-time treasury insights. Partnering with finance, product, and engineering teams, you’ll develop data pipelines, models, and infrastructure using heterogeneous and unstructured data, plus observability and performance analytics for core treasury workstreams.

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FursaFursa
Stripe
Stripe
1 month ago

Treasury Finance AI and Quantitative Analytics, Americas

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Last checked: 3 hours agoStatus: Live

Job Summary

Build AI-powered tools, quantitative models, and autonomous agents that enhance Stripe’s treasury capabilities. You’ll automate complex treasury workflows, improve risk management, and deliver self-service analytics and interactive data products for real-time treasury insights. Partnering with finance, product, and engineering teams, you’ll develop data pipelines, models, and infrastructure using heterogeneous and unstructured data, plus observability and performance analytics for core treasury workstreams.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Mid level

Key Responsibilities

  • •Apply treasury and finance domain expertise to identify high-impact opportunities for AI + quantitative tools to solve complex treasury challenges.
  • •Build AI-powered tools to automate treasury workflows, enhance risk management, and scale treasury operations.
  • •Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) for real-time treasury insights.
  • •Collaborate across Treasury Finance and partner teams to scope AI-driven solutions for complex, data-driven financial workflows.
  • •Develop observability and performance analytics and leverage heterogeneous/unstructured data to produce business insights and recommendations.

Key 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/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 agentic AI applications.
  • •Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI.
Experience:6-8 yearsTreasuryCapital marketsFintechPayments
Education:Bachelor's
Skills:CommunicationResults orientationOrganizationAttention to detail
Languages:English
Tech Stack:PythonPyTorchTensorFlowLangChainLangGraphStreamlitDashGradioDatabricksAWSGCPAzure

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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