Treasury Finance AI and Quantitative Analytics, Americas

Stripe; New York (NY); On-site; USD 157,000 - 235,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe is seeking a Treasury Finance AI and Quantitative Analytics professional in New York. You’ll build AI-powered tools and autonomous agents to automate treasury workflows, enhance risk management, and scale our operations.

Collaborate with treasury, product, and engineering teams to deploy AI applications that support Stripe’s growth and the GDP of the internet. You will work at the intersection of finance, AI, and product development, applying your finance and data science expertise to

Qualifications

• 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.
• Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow.
• Experience with LLM frameworks such as LangChain, LangGraph, or similar tools for building AI applications.
• Strong understanding of AI fundamentals: deep learning, NLP, and generative AI.
• Excellent communication skills for collaborating with finance, product, and engineering teams.

Responsibilities

• Apply treasury and finance domain expertise to identify high-impact AI opportunities.
• Build AI-powered tools to automate treasury workflows and enhance risk management.
• Ship interactive data products and self-service analytics using Python frameworks.
• Collaborate with data scientists and engineers to build data pipelines and models.
• Develop observability and performance analytics for core treasury workstreams.

Skills

Python

PyTorch

TensorFlow

LangChain/LLM frameworks

Data science

Finance knowledge

Communication

Education

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

Tools

Databricks

AWS/GCP/Azure

Python data tooling

Job description

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

Who we are

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team

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 you’ll do

Within Treasury Finance AI and Quantitative Analytics, you'll leverage your finance, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe's treasury capabilities. You'll develop AI-powered tools and quantitative models, autonomous agents, and analytics that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet.

Responsibilities

• 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

Who you are

We're looking for a technical problem-solver with treasury, quantitative reasoning, and finance expertise who's excited about leveraging artificial intelligence and who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum 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 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

Preferred Qualifications

• 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

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

The annual US base salary range for this role is $156,800 - $235,200. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

We look forward to hearing from you.

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.