Wise
Lead Data Scientist (Quant) - Treasury FX
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Lead Data Scientist (Quant) - Treasury FX
Company Description
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job Description
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise’s mission and millions of our customers.
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a $250bn+ annual FX volume—serving everyone from retail customers sending money abroad to tier-1 banks via the Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers, and engineers working together to price, hedge, manage, and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
- We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy—all built and operated by the same team.
- Your primary focus is keeping these systems reliable, performant, and well-engineered—while thinking deeply about how they serve customers and products.
- You’ll also contribute to the quantitative models themselves as you grow into the domain.
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What You’ll Own
- Python microservices that run quantitative models in production
- Monitoring, alerting, and reliability for real-time pricing and risk systems
- Shared quant libraries used across multiple services
- CI/CD pipelines and deployment/operational excellence
- Incident response and root cause analysis for production issues
Where You’ll Grow
- Real-time curve construction (yield curves, FX forwards, vol surfaces)
- Pricing models for new instruments and products
- Trading strategy development and optimisation
- Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)
- Backtesting frameworks and model validation
- Customer behaviour modelling, pricing strategy, and product launch support
- Collaborating with product teams to translate quantitative insights into customer-facing decisions
Qualifications
What We’re Looking For
- 4+ years building and maintaining production Python systems
- Strong experience with microservices, databases, and production infrastructure
- Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis, etc.)
- Quantitative background—maths, physics, engineering, or finance—you can read a model and reason about correctness
- Experience with testing, monitoring, and debugging complex systems under load
- A product mindset—you think about who uses your systems and why
- Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers, and engineers
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Bonus Experience
- FX or financial markets experience
- Term structure modelling, stochastic calculus, or Monte Carlo methods
- Interest rate curve bootstrapping
- Algorithmic execution experience
- Data lake or warehouse experience (Snowflake, Iceberg, Spark, etc.)
Note: Qualifications aren’t that important to us. If you’ve got great experience and you’re great at articulating your thinking, we’d like to hear from you.
We’re people without borders—without judgement or prejudice. We want to work with the best people, no matter their background.
Additional Information
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Wise’s commitment: For everyone, everywhere. We're people building money without borders—without judgement or prejudice, too.
- Diversity and Inclusion: We believe teams are strongest when they are diverse, equitable, and inclusive.
- Proud of a truly international team; celebrate differences.
- Inclusive teams help us live our values and ensure every Wiser feels respected, empowered to contribute and able to progress in their careers.
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For more details on what it’s like to work at Wise, visit Wise.Jobs.
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Follow us on LinkedIn and Instagram for updates.
Compensation
GBP 90,500 – GBP 127,000 yearly
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