Overview
You will join Wise’s Treasury FX Data Science team to develop and operate models and production systems for FX pricing, risk, and trading. You’ll help manage USD 250bn+ in annual FX volume, collaborating with quants, traders, analysts, product managers and engineers. The role blends quantitative modelling or engineering focus with production ownership to deliver scalable, real-time FX capabilities. You will shape risk analytics, pricing strategies and hedging approaches while partnering across functions to impact customer experiences. This is a hands-on, impact-driven chance to advance Wise’s mission of borderless money.
Responsibilities
- Python implementation of quantitative work from research to production
- Validate, backtest and monitor model and service performance
- Deploy and respond to incidents; perform root-cause analysis and continuous improvement
- Develop and maintain shared quant libraries used across services
- Manage CI/CD pipelines, deployments and operational excellence
- Monitor and ensure reliability of real-time pricing and risk systems
- Grow knowledge in market data management and quant infrastructure design
- Collaborate with engineering and product teams to translate insights into customer-facing decisions
Key requirements
- 4+ years of quantitative or engineering experience with strong Python development
- Background in maths, physics, engineering or finance and ability to reason about model correctness
- Experience in FX or financial markets is a plus
- Familiarity with term structure modelling, stochastic calculus or Monte Carlo methods is a plus
- Knowledge of data lakes or warehouses (Snowflake, Iceberg, Spark) is a plus
- Product mindset and ability to work cross-functionally with quants, analysts, traders, product managers and engineers
- Experience taking quantitative work into production with ongoing validation and monitoring
- clear communication
- cross-functional collaboration
- problem-solving with stakeholding teams
- Python
- quantitative modelling
- backtesting
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