Treasury Finance AI and Quantitative Analytics

1 month, 1 week ago
Full-time
Senior
Artificial Intelligence and Machine Learning
Stripe

Stripe

Stripe is a global technology company that provides financial infrastructure for the internet. They offer a suite of APIs and tools for businesses to accept online and in-person payments, automate financial processes, and embed financial services in th...

Diversified Financial Services
5K-10K
Founded 2009
$8700M raised

Description

  • Apply treasury and finance domain expertise to identify high-impact AI opportunities in liquidity, financial risk management, and capital markets.
  • Build AI-powered tools and solutions to automate treasury workflows and scale operations.
  • Design and deploy autonomous AI agents that can reason, plan, and execute complex multi-step tasks.
  • Ship interactive data products and self-service analytics tools that provide real-time insights and actionable intelligence.
  • Collaborate with Treasury Finance, product, engineering, sales, and finance teams to scope and deliver AI-driven solutions.
  • Prototype emerging AI applications to address evolving treasury challenges.
  • Develop models and data products that enhance Stripe’s treasury capabilities and decision-making.
  • Work on solutions that optimize and scale complex, data-driven financial workflows.

Requirements

  • Bachelor’s degree in finance, mathematics, computer science, engineering, or a related field.
  • 5+ 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 such as PyTorch and TensorFlow.
  • Experience with Large Language Model frameworks such as LangChain, LangGraph, or similar tools.
  • Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI.
  • Strong communication skills for collaborating with product, engineering, and finance teams.
  • Highly organized with attention to detail and the ability to manage tight deadlines.
  • Familiarity with the payments industry and fintech landscape is preferred.
  • Experience with Databricks and cloud platforms such as AWS, GCP, or Azure is preferred.
  • Software engineering experience in Ruby is preferred.

Interested in this position?

Apply directly on the company website

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