UBS is a Swiss banking group active in wealth management, asset management and investment banking, also providing banking to individuals and businesses in Switzerland.
Global Markets - AI Algo Java Quant Developer
UBS is recruiting a Java quantitative developer specialising in algorithms for its Equity Derivatives Quantitative Development team in London. The role covers the design and improvement of pricing, execution and risk management flows, as well as performance optimisation for the electronic trading platform. Development relies mainly on low-latency Java and recent AI models to speed up feature delivery.
Job details
The full description published by UBS.
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 You will join the Equity Derivatives Quantitative Development (EMEA) Team. The team is an expert quantitative front-office group, partnering with Public Distribution traders, sales and risk managers. Our team is responsible for building best in class, high performance java based solutions to optimize pricing and trading, inventory, risk management and client interaction Focused on maximizing automation and performance in order to drive eTrading revenues. Operating in a highly agile manner, releasing to production multiple times per day
- 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 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 .
Requirements
- low-latency Java programming
- knowledge of electronic trading
- design of high-throughput, event-driven trading platforms
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