At a Glance
- Tasks: Lead data science projects that shape FX pricing and trading systems.
- Company: Join Wise, a global leader in financial technology.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative culture with diverse teams and exciting career paths.
- Why this job: Make a real impact on millions of customers with your data expertise.
- Qualifications: 4+ years in Python systems and a strong quantitative background.
The predicted salary is between 70000 - 90000 £ per year.
Join our Treasury Markets Data Science team to own and operate the production infrastructure behind our FX pricing, risk, and trading systems. Your work will directly impact Wise’s mission and millions of customers worldwide.
Responsibilities
- Python microservices that run 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
Growth Opportunities
- 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)
- Backtesting 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 in maths, physics, engineering, or finance – ability to read a model and reason about correctness
- Experience with testing, monitoring, and debugging complex systems under load
- Product mindset – think about who uses your systems and why
- Clear communicator who can work cross‑functionally with quants, analysts, traders, product managers, and engineers
Bonus:
- Familiarity 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 experience (Snowflake, Iceberg, Spark, etc.)
We’re people without borders – without judgement or prejudice, too. We want to work with the best people, no matter their background.
Contact Details:
Wise Australia Investments Recruitment Team
We think you need these skills to ace Lead Data Scientist - Treasury Markets Quant at Wise Australia Investments
Python
Microservices
Production Infrastructure
Real-Time Data Pipelines
Event-Driven Architectures
Quantitative Analysis
Testing and Monitoring
