Quantitative Developer (Data Science) - Treasury FX
Wise
Overview
In this role, you will own and operate Wise’s production-grade quantitative infrastructure for FX pricing, risk, and trading. You’ll work in close collaboration with quants, traders, engineers, and product managers to ensure reliability and performance while expanding into broader quant tasks. You’ll directly impact how Wise manages large FX volumes and serves customers globally. The position blends hands-on development with quantitative modeling to support real-time decision making and product decisions.
Responsibilities- Build and maintain Python microservices that run quantitative models in production
- Ensure monitoring, alerting, and reliability for real-time pricing and risk systems
- Develop and maintain shared quant libraries used across services
- Develop CI/CD pipelines and aim for deployment and operational excellence
- Respond to incidents with root cause analysis and corrective action
- Collaborate with product teams to translate insights into customer-facing decisions
- 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
- Experience with testing, monitoring, and debugging complex systems under load
- A product mindset and cross-functional communication skills
- cross-functional collaboration
- communication
- problem solving
- Python
- microservices
- production infrastructure
Reference: WJ-747_30183203