At a Glance
- Tasks: Own and operate production infrastructure for FX pricing and risk systems.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, equity, health coverage, and flexible working.
- Other info: Diverse and inclusive environment with excellent growth opportunities.
- Why this job: Make a real impact in the finance world with cutting-edge technology.
- Qualifications: 4+ years in Python systems, strong quantitative background, and collaboration skills.
The predicted salary is between 80000 - 100000 £ per year.
Wise is a global technology company building the best way to move and manage the world’s money. Their mission is to make international payments easier, faster and cheaper for individuals and businesses worldwide.
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 quantitative research.
You will join the Treasury Markets Data Science team and own the quantitative infrastructure that powers how Wise manages FX risk across over USD 250 bn+ in annual FX volume. You will work with quants, traders, analysts, product managers and engineers to price, hedge, manage and scale FX operations in real time. The team runs a Python‑first, production‑grade quant platform: real‑time curve construction, multi‑instrument pricing, risk analytics and trading strategy. Your primary focus will be keeping these systems reliable, performant and well‑engineered, while contributing to the quantitative models themselves as you grow into the domain.
What You’ll Own
- Python microservices running 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)
- Back‑testing frameworks and model validation
- Customer behaviour modelling, pricing strategy and product launch support
- Collaboration 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 – with the ability to read and reason about models
- Experience with testing, monitoring and debugging complex systems under load
- A product mindset focused on user needs
- Clear communication and cross‑functional collaboration skills
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 technologies (Snowflake, Iceberg, Spark, etc.)
Additional Information
We value diversity and inclusion. We welcome applicants from all backgrounds who are passionate about learning and contributing to our mission. We believe diverse teams build better products. If you’re from an under‑represented demographic and thrive in an inclusive environment, we especially encourage you to apply.
Benefits
In addition to a competitive salary, Wise offers equity, comprehensive health coverage, a flexible working environment and opportunities for professional growth.
