Quantitative Developer (Data Science) - Treasury FX

Salary: £66,000 - 106,000 per year

Requirements:

• 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 in maths, physics, engineering, or finance with the ability to read a model and reason about correctness
• Experience with testing, monitoring, and debugging complex systems under load
• A product mindset and the ability to think about who uses our systems and why
• Clear communication skills and the ability to work cross-functionally with quants, analysts, traders, product managers, and engineers
• Bonus: familiarity with FX or financial markets
• Bonus: term structure modelling, stochastic calculus, or Monte Carlo methods
• Bonus: interest rate curve bootstrapping
• Bonus: algorithmic execution experience
• Bonus: data lake or warehouse experience (Snowflake, Iceberg, Spark, etc.)

Responsibilities:

• Own and operate the production infrastructure behind our FX pricing, risk, and trading systems
• Build and maintain Python microservices that run quantitative models in production
• Monitor, alert on, and improve reliability for real-time pricing and risk systems
• Maintain shared quant libraries used across multiple services
• Own CI/CD pipelines, deployment processes, and operational excellence
• Handle incident response and root cause analysis for production issues
• Contribute to real-time curve construction, including yield curves, FX forwards, and vol surfaces as you grow in the role
• Help develop pricing models for new instruments and products
• Contribute to trading strategy development and optimisation
• Support risk modelling with the Risk team, including VaR, stress testing, and scenario analysis
• Build backtesting frameworks and support model validation
• Work on customer behaviour modelling, pricing strategy, and product launch support
• Collaborate with product teams to translate quantitative insights into customer-facing decisions

Technologies:

• CI/CD
• Flink
• Support
• Kafka
• Python
• Quant
• Redis
• Snowflake
• Spark
• microservices
• Network

More:

We are Wise, a global technology company building the best way to move and manage the worlds money. Our mission is to make money without borders faster, easier, and more affordable for everyone, everywhere. You will join our Treasury Markets Data Science team, working within a wider Treasury FX team of quants, traders, analysts, product managers, and engineers. The role is based on a Python-first, production-grade quant platform that supports real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy. We are a truly international, inclusive team and value diversity, collaboration, and continual learning as we build systems that support millions of customers and high-volume FX operations.

last updated 37 week of 2026