FX/Rates E-Trading Quant

UBS; Greater London; On-site; GBP 100,000 - 180,000; Full time

Job summary

UBS is seeking an e-trading quant to join its algorithmic trading team in London. This front-office role focuses on FX and Interest Rate Derivatives, offering exposure to real-time trading, pricing, risk management, and PnL from day one.

You will design, back-test, and implement systematic trading strategies, apply advanced statistics and ML, and participate in full lifecycle from research to deployment. Collaboration with senior traders and software engineers is key in a fast-paced, agile

Qualifications

• Degree in a quantitative field with strong analytical skills.
• Good programming skills in any language; data analysis experience.
• Experience with large datasets and statistical analysis.
• Self-motivated with ability to own deliverables in trading.
• Strong communication and teamwork abilities.
• Prior exposure to FX, rates, or STIR is advantageous.
• Experience with electronic trading systems and market data infrastructure.
• Familiar with software development practices and CI/CD; Java or C++ preferred.
• Interest in applying AI to improve workflows with sound judgment.

Responsibilities

• Design, back-test, and implement algorithmic trading strategies for FX and IR.
• Apply statistical analysis and ML to optimise pricing, quoting, and risk management.
• Involve in full lifecycle from research to deployment and monitoring.
• Monitor performance, PnL, and risk exposures; identify enhancements.
• Collaborate with traders and engineers to integrate new algorithms.

Skills

Quantitative Analysis

Programming Proficiency

Technical Aptitude

Self-Starter

Communication

Teamwork

Financial Markets Exposure

Electronic Trading & Tools

Software Engineering Practices

AI Curiosity

Education

Quantitative degree

Tools

FIX protocol

KDB

Java

C++

Low-latency systems

Job description

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.

Job Type

Full Time

Job Reference #

341354BR

City

London

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.

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.

This role offers an exciting opportunity to launch or advance your career in quantitative trading, combining deep technology skills with direct trading impact. If you are intellectually curious, technically skilled, and eager to tackle the challenges of the fast-moving FX and interest rate markets, we strongly encourage you to apply.

Your Skills And Experience

• 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: Strong communication skills – able to understand complex business and technical problems, and articulate solutions clearly to both technical and non-technical stakeholders.
• Teamwork: Excellent interpersonal skills. A collaborative team player who can build positive working relationships and is unafraid to ask questions or respectfully challenge ideas.
• 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).
• 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.
• 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.

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.