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
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Treasury Markets Quant at Wise Australia Investments in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wise Australia Investments!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist - Treasury Markets Quant at Wise Australia Investments at Wise Australia Investments.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wise Australia Investments.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist - Treasury Markets Quant at Wise Australia Investments at Wise Australia Investments, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Scientist - Treasury Markets Quant at Wise Australia Investments in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wise Australia Investments, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wise Australia Investments. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wise Australia Investments
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wise Australia Investments!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
