United Kingdom

Quantitative Analysis

Investment Bank

Your role

Are you interested in algorithmic trading? Are you an innovative thinker and enjoy building a business leading platform? We’re looking for someone like that who can:

• Help analyse and identify opportunities for trading algorithms and their interactions with principal liquidity for the equities business
• Back test internalization opportunities in collaboration with principal liquidity desk
• Analyze the way our clients trade to optimize their interactions with UBS, with added focus on internalization and flow categorization
• Provide insights into client flow and their trading and internalization outcomes
• Work closely with Electronic Trading, Principal liquidity desk, Equity front office, and IT to deliver regional and global projects

Job Reference #

322639BR

City

London

Job Type

Full Time

Your Career Comeback

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

Your team

You’ll be working in Hybrid Liquidity Solutions in London, part of the Algorithms and Analytics team. The Algorithms and Analytics team’s remit includes enhancing trading algorithms and high performance quant trading models, providing execution consultancy and helping optimize trading performance for electronic trading for all equities and other products; with Hybrid Liquidity Solutions having a focus on understanding and enhancing client internalization opportunities and trading outcomes, working closely with the rest of the Algorithms and Analytics team as well as the principal liquidity desk

Your expertise

• A doctorate/master's degree in computer science, physics, mathematics, engineering
• Experience designing and building algorithmic trading models, modelling market microstructure
• Very good understanding of data exploration and modelling
• Good understanding of market dynamics and ability to explain/visualize/large data sets
• Big data analysis and deep learning skills very useful
• Proficient using Python/Java/C++ on Linux and Windows
• Proficient using UNIX utilities and shell scripting
• Knowledge of at least one statistical language (R, MATLAB, etc.)
• Ideally KDB and q experience.
• Well versed in Computer Science fundamentals and modern software development practices
• Interested in market structure and trading

*LI-GB

About us

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

We have a presence in all major financial centers in more than 50 countries.

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. 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.