Stripe Verified

Fintech, Payments, Software-as-a-Service (SaaS)

Capital Markets, FX Specialist

New YorkOnsiteFull TimePosted 1 month agoVisa sponsorship available

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Required skills

FX
market risk
trading
quantitative research
treasury operations
FX market structure
FX instruments
Python
SQL
statistics

Nice to have

Economics
Finance
Math
Physics
automated trading
option theory

Role summary

Stripe is seeking an FX Specialist for its Treasury Finance team to manage corporate and user FX risk. This role involves monitoring FX risks, executing trades, reconciling positions, and attributing costs. You will build automated risk monitors and analytical models using Python and SQL, and collaborate with Product and Engineering to scale FX infrastructure. Responsibilities include developing risk-based FX pricing methodologies and designing hedging strategies to mitigate FX exposures while maintaining robust policies and controls. The ideal candidate has 5+ years of experience in FX, market risk, trading, quantitative research, or treasury operations, with proficiency in Python and SQL, and strong analytical and collaboration skills.

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

Ready to apply?

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