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Treasury Finance AI and Quantitative Analytics

Stripe · New York · Active · Greenhouse

Job facts

FieldValue
CompanyStripe
TitleTreasury Finance AI and Quantitative Analytics
Normalized title-
Department / team6410 Treasury Finance
LocationNew York, NY, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-15 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Stripe.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in 6410 Treasury Finance.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyStripe
Sourcef6595d85-f0f8-440c-8dc1-b0386dc838fa
ATS providerGreenhouse

Description

Who we are 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. 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 our financial capabilities. As part of the Treasury Finance AI and Quantitative Analytics team, you'll work at the intersection of finance, artificial intelligence, 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 treasury capabilities. You'll develop AI-powered tools and models, autonomous agents, and data products 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 our 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 solve complex liquidity, financial risk management, and capital markets challenges Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale our operations Design and deploy autonomous AI agents using frameworks like LangChain and LangGraph that can reason, plan, and execute complex multi-step problems and enhance decision-making processes Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time 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 Explore and prototype cutting-edge AI applications to address emerging treasury challenges Who you are We're looking for someone 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, computer science, engineering, or a related field with 5+ 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 and 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 product, engineering, and finance 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) Software engineering experience in Ruby

Full job record

Job ID16cadd081cfa8bd13147ae7bde36acf1a6af7855
Org ID513d0053-fcfc-4400-8e5b-bd4bd13e8763
Source IDf6595d85-f0f8-440c-8dc1-b0386dc838fa
Board IDf6595d85-f0f8-440c-8dc1-b0386dc838fa
Providergreenhouse
Provider Job Key7793069
TitleTreasury Finance AI and Quantitative Analytics
Normalized Title
Statusactive
Activeyes
Location TextNew York
Department6410 Treasury Finance
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://stripe.com/jobs/search?gh_jid=7793069
Apply URLhttps://stripe.com/jobs/search?gh_jid=7793069
First Seen At2026-05-29 22:43:12Z
Last Seen At2026-06-06 07:35:42Z
Last Checked At2026-06-06 07:35:42Z
Last Changed At2026-06-06 07:35:42Z
Inactive At
Source Posted At2026-04-15 14:22:09Z
Source Updated At2026-06-05 18:29:17Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=stripe/date=2026-06-06/2026-06-06T07-35-41-937Z-ed50622e5b1077bf6f1b14de3e01cb58fd726c22e01084f203cb64f00294e085.json
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