AI eTrading Quant Data Analyst

UBS

City of Westminster

On-site

GBP 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Flexible working options
AI-powered trading tools

Job summary

UBS Global Markets is seeking an e-trading quant to join our front-office team in London. This role focuses on FX and interest rate derivatives, working with senior traders to design, back-test, and deploy algorithmic strategies in real time.

You will analyse market data, optimise pricing and risk controls, monitor PnL and risk exposures, and collaborate with software engineers to scale low-latency solutions.

Qualifications

  • Degree in a quantitative field.
  • Strong programming skills in Java or C++.
  • Experience with data analysis and ML techniques.

Responsibilities

  • Design, back-test, and implement algorithmic trading strategies for FX & IR derivatives.
  • Apply advanced statistics and ML to optimise pricing, quoting, and risk management.
  • Contribute to all stages of the strategy lifecycle from research to deployment.

Skills

Quantitative mindset
Programming (Java/C++)
Data analysis
Problem solving

Education

Degree in a quantitative field

Tools

Java
C++
FIX protocol
KDB
Python

Job description

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.,

  • 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.
    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).
    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.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
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