Capital Markets, FX Specialist

Stripe · FinTech · Banca & Pagos · New York

New YorkInfra & Data10 de septiembre de 2026Leído en Greenhouse
PresencialSenior

Vigencia de la oferta

ActivaVerificada en el sitio del editor hace 5 h

Todavía listada por el editor, publicada hace menos de un mes.

  • Activa desde hace 8 d
  • Stripe retira sus ofertas al cabo de 7 d de mediana (68 ofertas cerradas observadas)

Comprobado cada seis horas en el sitio del editor. La antigüedad cuenta desde la fecha de publicación original, incluso tras una republicación.

Lo que dice la oferta

Build and maintain FX pricing, risk monitoring, and hedging systems, collaborating with engineering and product teams to manage Stripe's currency exposures.

  • 5+ años de experiencia
  • Contribuidor individual

Leído en el texto de la oferta por un modelo de lenguaje el 14 de septiembre de 2026 — indicativo, compruébalo en la oferta original.

Descripción

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 (TFIN) is key to building the Global Payments and Treasury Network (GPTN). Within TFIN, the FX team collaborates closely with product, engineering, sales, and finance teams to manage Stripe’s Corporate and User related FX risk. This includes creating pricing models to keep pace with product expansion and developing hedging strategies to mitigate the risks to Stripe’s profitability.

What you’ll do

Stripe supports global commerce across 135+ currencies including digital assets.As a result, Stripe needs to build and maintain platform systems capable of pricing, estimating and hedging the resulting FX exposures. Grounded in an understanding of FX market conventions and dynamics, you will partner with Engineering, Data Science, Product, and Finance to maintain operational rigor today while shaping long-term pricing and hedging strategies.

Responsibilities

  • Monitor FX risks, execute trades , reconcile position, and attribute costs
  • Build automated risk monitors, alerting tools, and analytical models using SQL and quantitative coding to enable observability and minimize operational toil
  • Collaborate with Product and Engineering to guide the design and scaling of core FX infrastructure, trade execution flows, and liquidity provider integrations
  • Develop risk-based FX pricing methodologies across products and currency pairs, factoring in volatility, transaction costs, netting efficiency, and embedded optionality like rate guarantees.
  • Design hedging strategies to mitigate FX risks on financial statements while maintaining robust policies, controls, and operational runbooks

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

  • 5+ years in FX, market risk, trading, quantitative research, or treasury operations, with working knowledge of FX market structure and instruments
  • Proficiency in Python and SQL to build analytics and tools, backed by a strong foundation in statistics, time series, and risk measurement
  • Exceptional attention to detail and a proven ability to turn complex, imperfect datasets into clear insights
  • Practical experience using AI tools to streamline analysis and automation, paired with a critical eye for model validation and verification
  • Strong cross-functional collaboration skills, with the ability to turn complex data into clear narratives and escalate issues concisely under time pressure
  • Bachelor's degree

Preferred qualifications

  • Degree in Economics, Finance, Statistics, Engineering, Computer Science, Math, or Physics
  • Experience with automated trading and familiarity with option theory and greeks
  • Experience building data pipelines and systems working alongside technical teams

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En resumen

Publicada el 10 de septiembre de 2026 · vista por primera vez el 6 de septiembre de 2026

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