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Capital Markets, FX Specialist

Join Stripe as a Capital Markets, FX Specialist to manage FX risks and develop pricing strategies in a dynamic financial infrastructure environment.

Location
New York
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 1 week ago

First seen on Joblaze 1 week ago

Last verified on the company career page 12 hours ago

Skills & Technologies

SQL Python Flexible on stack

AI in the day-to-day

Practical experience using AI tools to streamline analysis and automation.

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In this role, the FX Specialist at Stripe will focus on managing foreign exchange risks by executing trades, monitoring positions, and developing pricing models. The position requires strong skills in Python and SQL, along with a solid understanding of FX market dynamics and quantitative analysis. Ideal candidates will have over five years of experience in FX or related fields, showcasing their ability to collaborate across teams and transform complex data into actionable insights. Stripe's Treasury Finance team plays a crucial role in supporting the company's global payment infrastructure.

Joblaze insights

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

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