--- title: 'Treasury Finance AI and Quantitative Analytics, Americas at Stripe' canonical: 'https://feeny.ai/job/treasury-finance-ai-and-quantitative-analytics-americas-stripe-new-york-k8w2myt8bksd' type: 'job' last_seen: '2026-09-13' --- # Treasury Finance AI and Quantitative Analytics, Americas at Stripe - **Company:** Stripe - **Location:** New York, NY - **Posted:** 2026-07-24 - **Last confirmed live:** 2026-09-13 - **Apply:** https://stripe.com/jobs/search?gh_jid=8079132 ## Job 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 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 ## About Stripe ## Core Business - Primary industry: Financial services / payments infrastructure - Target customers: B2B – from startups to global enterprises (e.g., Le Monde, trucking companies) - Mission: “Increase the GDP of the internet” by making online commerce easier and more accessible ## Products & Services - **Stripe Payments**: Accept and optimise payments globally – online and in person; supports 135+ currencies and payment methods [stripe.com](https://stripe.com/) - **Stripe Billing**: Manage subscriptions, invoices, and recurring revenue; over 200 million active subscriptions managed [stripe.com](https://stripe.com/) - **Stripe Connect**: Embed payments into platforms and marketplaces - **Stripe Atlas**: Incorporate a company, get everything needed to fundraise and start selling - **Stripe Terminal**: In-person payments with customisable card readers - **Stripe Issuing**: Create and manage a card issuing programme - **Stripe Climate**: Automatically contribute a fraction of revenue to carbon removal ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: $1.9 trillion in payments volume processed in 2025 [stripe.com](https://stripe.com/) - **Notable Investors/Partners**: Not disclosed in provided sources - **Growth Signals**: - Infrastructure underpins more than 1% of global GDP [stripe.com](https://stripe.com/jobs/life-at-stripe) - Over 8,000 employees across 25+ offices worldwide [stripe.com](https://stripe.com/jobs) - 99.999% historical uptime for Stripe services [stripe.com](https://stripe.com/) - Deploys 10,000+ times per day while maintaining five 9s of reliability [stripe.com](https://stripe.com/jobs/life-at-stripe) - 135+ currencies and payment methods supported [stripe.com](https://stripe.com/) ## Competitive Advantages - **Scale & Reliability**: Processes massive transaction volumes with 99.999% uptime – a level of trust few competitors match. - **Developer‑First Experience**: Obsessive focus on API design, documentation, and ease of integration; “start with a blank screen, work until a product is ready, polish until exceptional” [stripe.com](https://stripe.com/jobs/life-at-stripe). - **Global Reach**: Supports 135+ currencies and payment methods, with local offices in 25+ cities to serve regional needs. - **Network Effects**: The more businesses use Stripe, the more data and infrastructure advantages accrue, making it harder to switch. ## Strategic Focus - **AI & Agentic Commerce**: Building economic infrastructure for AI, including monetisation through agentic commerce [stripe.com](https://stripe.com/). - **Crypto & Stablecoins**: Enabling borderless money movement with stablecoins and crypto [stripe.com](https://stripe.com/). - **Platform Expansion**: Continuing to add financial tools (billing, issuing, terminal, climate) that work individually or together. - **Globalisation**: Deepening presence in markets like Japan, India, and Latin America. ## Why Work Here - **Culture**: “Intense and kind” – high expectations paired with a supportive, transparent environment. Weekly all‑hands with senior leaders; decisions based on idea quality, not seniority [stripe.com](https://stripe.com/jobs/life-at-stripe). - **Growth & Ownership**: “Promotions are tied to demonstrated impact, not tenure.” Employees get substantial responsibility early, often working outside their domain [stripe.com](https://stripe.com/jobs). - **Work Model**: Hybrid/remote‑friendly – two main HQs (San Francisco & Dublin) plus 25+ offices, and many Stripes work from home or coworking spaces [stripe.com](https://stripe.com/jobs). - **Benefits**: Comprehensive medical, mental health, financial advisory, family planning, and parental leave. Education team provides onboarding and ongoing expert‑led courses [stripe.com](https://stripe.com/en-gi/jobs/benefits). - **Diversity & Inclusion**: Employee‑created resource groups (Stripe Communities), accommodations for disabilities, and a commitment to equal opportunity [stripe.com](https://stripe.com/jobs). ## Sources 1. [stripe.com/jobs/life-at-stripe](https://stripe.com/jobs/life-at-stripe) 2. [stripe.com/jobs](https://stripe.com/jobs) 3. [stripe.com/](https://stripe.com/) 4. [stripe.com/jobs/search](https://stripe.com/jobs/search) 5. 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