AI eTrading Quant Data Analyst

United Kingdom Investment Banking Investment Bank Job Reference # 341931BR City London Job Type Full Time Key responsibilities We are looking for an etrading quant to join our algorithmic trading team in UBS Global Markets. This is a front-office role specializing in FX and Interest Rate Derivatives. You will work with experienced quant traders, gaining exposure to real-time trading, pricing, risk management, and PnL from day one. Responsibilities: * Systematic Trading Strategy Development: Design, back-test, and implement algorithmic trading strategies for FX \& interest rate markets, using a data-driven, quantitative approach. * Statistical Analysis \& Optimisation: Apply advanced statistical analysis and machine learning techniques to optimise pricing, quoting, and automated risk management strategies. Continuously analyse high-frequency market data to refine our models and improve execution. * Full Lifecycle Involvement: Contribute to all stages of the trading strategy lifecycle – from research and model development through to coding, deployment, and real-time monitoring of strategies in production. * Performance Monitoring: Track and analyse strategy performance, PnL, and risk exposures. Use data insights to identify enhancements or new trading opportunities. * Collaboration \& Innovation: Work closely with senior traders, software engineers, and quants to integrate new algorithms into our e-trading platform. Proactively suggest improvements to our trading tools, frameworks, and processes to drive revenue and efficiency. Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback. The team You will join UBS’s electronic trading team – a dynamic and highly technical group at the forefront of innovation in automated FX and rates trading. We operate in a collaborative, agile environment that prioritises continuous improvement and rapid deployment of strategies. The team is diverse and global, combining deep expertise in data analysis, software development, and quantitative finance. You can expect a challenging yet supportive atmosphere: we are passionate about tackling complex problems, we value intellectual curiosity, and we strive for excellence and integrity in everything we do 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. * Quantitative \& Analytical Excellence: Strong analytical and problem-solving skills, with a degree in a quantitative field. * Programming Proficiency: Good programming skills in any language (hands-on experience with data analysis and scientific libraries). Ability to write clean, efficient code is a must. * Technical Aptitude: A passion for technology and data-driven decision making. Comfortable handling large datasets and performing rigorous statistical analysis. * Self-Starter: Highly motivated and able to work independently, taking initiative to drive projects forward without constant supervision. Ready to take on real ownership of deliverables in a trading environment. * Communication: communication skills – able to understand complex business and technical problems, and articulate solutions clearly to both technical and non-technical stakeholders. * Teamwork: interpersonal skills. A collaborative team player who can build positive working relationships and is unafraid to ask questions or respectfully challenge ideas. * Software Engineering Practices: Experience in a professional software development environment (use of version control, testing frameworks, code reviews, DevOps/CI-CD pipelines) and proficiency with additional programming languages (especially Java or C++ for low-latency systems) are plus points. * Financial Markets Exposure: Prior exposure to FX, rates, or STIR markets – for example, knowledge of FX swaps/forwards, interest rate derivatives or cash, or yield curve construction – is an advantage (but not a strict requirement). * Electronic Trading \& Tools: Experience working with electronic trading systems or market data infrastructure (e.g. understanding of order book dynamics, FIX protocol, KDB/time-series databases). 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.