At a Glance
- Tasks: Develop and maintain Python systems for real-time FX pricing and risk management.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse team environment with a focus on learning and collaboration.
- Why this job: Make a real impact on millions by innovating in finance technology.
- Qualifications: 4+ years in Python production systems; strong quantitative skills.
The predicted salary is between 70000 - 90000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world’s money. For everyone, everywhere.
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects. Your work will have a direct impact on Wise’s mission and millions of our customers.
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
What you’ll grow into:
- 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
- Collaborating 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
- Experience with testing, monitoring, and debugging complex systems under load
- A product mindset; you think about who uses your systems and why
- Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers
Nice to have:
- 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. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.
We believe teams are strongest when they are diverse, equitable and inclusive. We’re proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it’s like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
