Quantitative Researcher / Developer (Data Science) - Treasury FX

In this role you join Wise’s Treasury FX Data Science team to build and operate pricing, risk and trading models and production systems. You will contribute to managing FX risk across USD 250bn+ annual volume, collaborating with quants, traders, analysts and engineers. The role centers on a Python-first quant platform for multi-instrument pricing, risk analytics and trading strategies. You can focus on either quantitative research or engineering, with opportunities to contribute across both. You will shape scalable infrastructure and real-time decisioning in a global fintech context.

• Develop and maintain production quantitative models or services
• Implement Python-based quantitative work from research to production
• Validate, backtest and monitor model performance against outcomes
• Handle deployment, incident response and root-cause analysis with stakeholders
• Contribute to shared quant libraries used across services
• Maintain CI/CD pipelines and operational excellence
• Ensure monitoring, alerting and reliability for real-time pricing and risk systems
• Collaborate with cross-functional teams to translate insights into decisions

• 4+ years of relevant quantitative or engineering experience with strong Python development
• Quantitative background in maths, physics, engineering or finance
• Read and reason about models for correctness
• Experience with production-oriented quantitative work and validation
• Familiarity with FX or financial markets (bonus)
• Knowledge of term structure modelling, stochastic calculus or Monte Carlo methods (bonus)
• Experience with data lakes or warehouses (Snowflake, Iceberg, Spark) (bonus)
• Strong communication and cross-functional collaboration
• Product mindset and ownership of quantitative work in production

• Clear communicator
• Cross-functional collaboration
• Product mindset
• Python
• Quantitative modelling
• Backtesting