UBS
CRB Developer, Global Markets

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Job Type
Full Time
Job Reference #
343414BR
City
London
Key Responsibilities
We are seeking an engineer/researcher to join the CRB desk within UBS Global Markets.
This is a front-office role at the intersection of software engineering, data science, quantitative research, and trading technology. You will work closely with traders, quants, and technology teams to develop and maintain the desk's tooling, analytics platforms, AI capabilities, and systematic infrastructure.
Responsibilities
- Develop, maintain, and enhance front-office applications, automation frameworks, and trading support tools.
- Build and manage the desk's AI tooling and contribute to the continued development of the desk’s research platform.
- Apply data science and statistical techniques to improve decision-making, workflow automation, monitoring, and analytics.
- Design, implement, and maintain production-grade software solutions used by the desk on a daily basis.
- Work with large datasets to generate insights, improve operational efficiency, and support research initiatives.
- Develop monitoring, reporting, and operational tooling to support automated trading and market-making systems.
- Contribute to the reliability, scalability, and performance of the desk's technology stack.
- Collaborate closely with traders, quants, and developers to solve challenging business and technical problems.
The Team
The CRB desk has a long history of innovation in quantitative trading and technology within UBS Global Markets.
We enjoy solving challenging problems using data, technology, automation, AI, and market intelligence. Our team brings together expertise across front-office engineering, quantitative research, systematic trading, Equities, ETFs, and Delta One markets.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
As the business continues to evolve, a key focus area is the development and maintenance of the desk's AI capabilities, analytics platforms, and research infrastructure.
Your Skills And Experience
- 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.
- Strong problem-solving and analytical skills.
- A proactive, can-do attitude with a willingness to take ownership and learn quickly.
- Excellent Python programming skills and the ability to write clean, maintainable, production-quality code.
- Strong experience working in Linux/Unix environments.
- Experience building, deploying, and supporting production software systems, including CI/CD, automation, monitoring, and DevOps practices.
- Strong communication and collaboration skills, with the ability to work effectively across business and technology teams.
Desirable
- Experience with data science, statistical modelling, or large-scale data analysis.
- Experience developing front-office applications, automation frameworks, or other business-critical software.
- Experience building AI, machine learning, or LLM-based solutions.
- Familiarity with financial markets, electronic trading systems, Equities, ETFs, Delta One products, distributed systems, or KDB+/q.


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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.
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.
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