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 professional growth.
- Other info: Collaborative culture with diverse teams and exciting growth opportunities.
- Why this job: Make a real impact on millions of customers with your data expertise.
- Qualifications: 4+ years in Python systems and strong quantitative skills required.
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.
Lead Data Scientist - Treasury Markets Quant at Wise Australia Investments in London employer: Wise Australia Investments
Wise Australia Investments is an exceptional employer, offering a vibrant and inclusive work culture in the heart of London. With a strong focus on employee growth, we provide ample opportunities for professional development and collaboration across teams, ensuring that every team member can contribute meaningfully to our mission of enhancing customer engagement. Join us to be part of a dynamic environment where innovation thrives and your contributions are valued.
Contact Details:
Wise Australia Investments Recruitment Team
