Job Description

City

London

Job Type

Full Time

Location

United Kingdom

Function Category

Investment Banking, Quantitative Analysis, Sales and trading, Trading

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.

Disclaimer / Policy Statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

The team

• A highly technical and innovative quant development team leading automated trading in Equities
• Part of the Principal Flow Trading Quant Development department, alongside teams aligned to eRates, eCredit & eFX
• Focused on maximising automation and performance in order to drive eTrading revenues
• Operating in a highly agile manner, releasing to production multiple times per day
• The team is known for being collaborative and diverse, with a mandate to deliver meaningful change

Your skills and experience

• Advanced Java programming skills including approaches to low-latency Java like lock free data structures and low-garbage programming techniques.
• Proven experience in designing and implementing low-latency, high-throughput, event-driven algorithmic trading platforms.
• Strong business knowledge of electronic trading, ideally Cash Equities and EU / US / Asia market structure.
• Collaboration with quantitative traders to design and implement algorithmic trading models and controls.
• Experience of producing model documentation and partnering with governance and second line of defence functions.
• Beneficial to have low level experience with messaging libraries and protocols including Aeron, Kafka, EMS, SBE, FIX, ITCH, OUCH.
• Familiarity with time-series databases (preferably KDB) and Python for building analytics and reports.
• Full stack development experience is an advantage (preferably React) particularly for building monitoring dashboards and trader-facing tools.
• 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.

*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.