Global Markets - AI Algo Java Quant Developer

We are seeking an AI Algo Java Quant Dev to join our Equity Derivatives Quantitative Development (EMEA) team within UBS Global Markets.

• you will be working in a high performing, fast paced, and collaborative team that are responsible for the development and enhancement of the best-in-class Equity Derivatives platform, predominantly utilizing low latency Java
• the team sits within the Global Markets - Principal Flow Trading stream, and has a business reporting line
• you will take ownership of initiatives from initial analysis through to design, implementation and delivery
• you will proactively suggest and drive through improvements to the platform and our framework
• you will be using the latest LLMs to accelerate development of platform features
• you will be involved in every aspect of algorithmic trading:
• designing and building new quoting, execution and risk management flows
• designing and building trader tools to help improve business workflows and efficiency
• market connectivity
• latency analysis and optimization
• enhancing the proprietary eTrading framework that is used across the department

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

• Java programming skills including approaches to low-latency Java like lock free data structures and low-garbage programming techniques
• excellent knowledge of frontier AI models and their usage to rapidly deliver change
• strong business knowledge of electronic trading, equity derivatives knowledge is a nice to have
• proven experience in designing and implementing low-latency, high-throughput, event-driven algorithmic trading platforms
• collaboration with quantitative analysts 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 experience with messaging libraries and protocols including Aeron, Kafka, EMS, SBE, FIX
• 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

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.