How much experience is required?

At least 5 years of relevant experience for this Capital Markets, FX Specialist role.

What's the tech stack?

Joblaze extracted these technologies from the posting: Python, SQL.

What seniority level is this role?

Stripe targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Capital Markets, FX Specialist role at Stripe.

Capital Markets, FX Specialist at Stripe

Joblaze summary

In this role, the FX Specialist at Stripe is responsible for monitoring foreign exchange risks, executing trades, and developing pricing models to support the company's global payment infrastructure. The position requires strong skills in Python and SQL, along with a solid understanding of FX market dynamics and risk management. Ideal candidates will have over five years of experience in FX or related fields, and a background in quantitative analysis or treasury operations. The role involves significant collaboration with cross-functional teams to enhance FX systems and strategies.

Joblaze insights

Listed 2 days ago — first seen on Joblaze September 17, 2026. Last confirmed on Stripe's careers page September 18, 2026.
This exact title is also open at 1 other location at Stripe: New York.
Python appears in 17% of 2161 comparable senior other roles in United States; SQL appears in 6.6% of 2161 comparable senior other roles in United States.

Quick facts

How much experience is required?: At least 5 years of relevant experience for this Capital Markets, FX Specialist role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Python, SQL.
What seniority level is this role?: Stripe targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Capital Markets, FX Specialist role at Stripe.

From the original posting

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