Treasury Finance AI and Quantitative Analytics

Stripe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$156,800–$235,200 / yr
Posted
49 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $196k
$126k most similar roles pay here $247k

This role pays more than 64% of similar roles. Most pay $141,675–$220,900 — the shaded band above. At the midpoint, this role pays about $196k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 173 open roles on FindRole.

Listed pay typically runs $190,400–$285,600 across 171 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Treasury Finance AI and Quantitative Analytics

As a member of the Treasury Finance AI and Quantitative Analytics team, you will work at the intersection of finance, artificial intelligence, and product development to build autonomous agents and intelligent solutions. You will leverage your expertise to identify high-impact opportunities where AI can be integrated with quantitative tools to solve complex treasury challenges and automate workflows. Your daily responsibilities include building AI-powered tools, developing performance analytics for core workstreams, and shipping interactive data products using Python frameworks like Streamlit, Dash, and Gradio. You will utilize PyTorch, TensorFlow, and LLM frameworks such as LangChain or LangGraph to manage heterogeneous data and build robust pipelines. The role focuses on the technical challenge of optimizing complex, data-driven financial workflows and enhancing risk management within a global payments and treasury network infrastructure.

What you'll do

  • Identify high-impact opportunities to integrate AI and quantitative tools into treasury workflows.
  • Build AI-powered tools and autonomous agents to automate complex treasury operations and risk management.
  • Develop interactive data products and self-service analytics tools using Python frameworks like Streamlit, Dash, or Gradio.
  • Scope and deploy AI-driven solutions to optimize and scale data-driven financial workflows.
  • Create observability and performance analytics for core treasury workstreams to provide insights to senior leadership.
  • Analyze heterogeneous and unstructured data to generate business insights and recommendations.
  • Build data pipelines, models, and infrastructure in collaboration with data scientists and engineers.

What we're looking for

  • 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 agentic systems.
  • Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI.
  • Excellent communication skills to collaborate across finance, product, and engineering teams.
  • Highly organized with attention to detail and the ability to manage tight deadlines.

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