eFX Quant Trader

Your role

Is curiosity part of your DNA? Do you have a passion for extracting information out of data? Our goal is to use analytical competences for optimizing a growing electronic FX Trading offering.

Responsibilities:
• Generating ideas for enhancements to our current and planned FX trading system. Developing these models in software packages such as python and then implementing the live code in java.
• Maintaining a regular cycle of measuring, monitoring, and improving the performance of the FX aspects of our live trading system.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Your team

eFX Quant Trading is a growing team within our Principal Electronic Trading business based in London. All quant traders across principal electronic trading design systematic trading strategies, run statistical analysis on data and are involved in the productionisation of the strategies within our trading systems.

Your expertise

• You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use
• Masters in Natural Science, Mathematics, Data- or Process Design, or similar education
• 5+ years of prior experience in systematic trading beneficial
• Experience in machine learning methods is an advantage
• Kaggle Master and above (or similar) qualification in public AI/ML platforms
• Strong programming skills in R or Python
• An attention to detail and are keen to contribute in a fast-paced trading environment
• Complexity is a challenge and not a problem for you
• Analytical flair, high quality awareness, interdisciplinary working style

*LI-GB

About us

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.