At a Glance
- Tasks: Develop and enhance AI tools, analytics platforms, and trading support applications.
- Company: Join UBS, a leading global wealth manager with a collaborative culture.
- Benefits: Flexible working options, career growth opportunities, and a supportive team environment.
- Other info: Dynamic role with opportunities to collaborate across teams and tackle challenging problems.
- Why this job: Make an impact in trading technology while working with cutting-edge AI and data science.
- Qualifications: Strong Python skills, problem-solving mindset, and experience in software development.
The predicted salary is between 59400 - 72600 £ per year.
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.
Key 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.
Your Skills and Experience:
- You’re curious to explore how AI can improve how we build, deliver, and optimize workflows.
- 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.
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.
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.
CRB Developer, Global Markets in London employer: UBS
UBS is an exceptional employer, offering a dynamic work environment in London where collaboration and innovation thrive. As a CCP Risk Manager, you'll benefit from a culture that prioritises employee growth, providing opportunities to tackle complex challenges while utilising cutting-edge AI technologies. With a commitment to inclusivity and flexible working options, UBS ensures that every team member can contribute meaningfully to our collective success.
StudySmarter Expert Advice🤫
We think this is how you could land CRB Developer, Global Markets in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at UBS or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to UBS.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like UBS.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like UBS that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace CRB Developer, Global Markets in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at UBS.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at UBS and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at UBS
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If UBS uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
