At a Glance
- Tasks: Join Wise to develop and maintain cutting-edge quantitative systems for FX pricing and risk management.
- Company: Wise, a global tech company on a mission to simplify money movement.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Diverse team environment that values unique perspectives and experiences.
- Why this job: Make a real impact on millions of customers while working with innovative technology.
- Qualifications: 4+ years in Python systems, strong quantitative background, and a collaborative mindset.
The predicted salary is between 70000 - 90000 £ per year.
This job is with Wise, an inclusive employer and a global technology company, building the best way to move and manage the world’s money. Wise is on a mission to make lives easier and save money for people and businesses sending money abroad, spending abroad, or making and receiving international payments.
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 USD 250bn+ in annual FX volume.
- 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.
- 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.
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, deployment, and 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:
- 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
It’s a bonus if you are familiar with:
- 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.)
We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.
Also, 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. And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.
Additional Information:
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable, and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
