Capital Markets, FX Specialist

Stripe · New Yorksenior

En corto

▸Especialista en FX que gestiona riesgos y precios en múltiples divisas para Stripe.
▸Trabajas con ingeniería y producto para crear herramientas automáticas de monitoreo, análisis y estrategias de cobertura.
▸Destaca el uso de IA para automatizar análisis y validar modelos con rigor financiero.

Proficiency in English is required

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¿Qué piden?

✓5+ años en FX, riesgo de mercado, trading o operaciones de tesorería
✓Dominio de Python y SQL con fundamento en estadística y series de tiempo
✓Atención meticulosa al detalle con capacidad para extraer insights de datos imperfectos
✓Experiencia práctica con herramientas de IA para análisis y automatización
✓Habilidades de colaboración transversal para comunicar riesgos y soluciones
✓Titulación universitaria (bachelor's degree)

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLAI toolstime seriesrisk measurementoption theoryGreeksautomated tradingdata pipelinesliquidity provider integration

¿A quién escribirle en Stripe?

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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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