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For Companies At a Glance
- Tasks: Design and enhance trading algorithms, back test strategies, and analyse client trading interactions.
- Company: UBS is the world's largest global wealth manager with a presence in over 50 countries.
- Benefits: Enjoy flexible working options, a supportive team, and opportunities for personal growth.
- Why this job: Join a dynamic team focused on innovative trading solutions and collaboration in a diverse environment.
- Qualifications: Doctorate/master's in relevant fields; experience in algorithmic trading and data analysis required.
- Other info: Commitment to disability inclusion and support throughout the recruitment process.
The predicted salary is between 43200 - 72000 £ per year.
Job Reference #
322641BR
City
London
Job Type
Full Time
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 design and enhance trading algorithms and analytics for the equities business (and beyond)
• Back test trading strategies across different market regimes
• Analyze the way our clients trade to optimize their interactions with UBS
• Provide execution consultancy on client order flow, including the use of Transaction Cost Analysis
• Research market microstructure and produce analysis for clients
• Work closely with Electronic Trading, Equity front office, and IT to deliver regional and global projects
Your team
You’ll be working in the Algorithms and Analytics team in London. Our role is to provide trading algorithms and execution consultancy for electronic trading for all equities and other products. Our team is responsible for building top grade, high performance quant trading models, research on market microstructure and helping to optimize the trading performance across equities.
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
• A keen learner and enjoy a challenge
*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.
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Algorithms and Analytics Quantitative Analyst employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithms and Analytics Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and market microstructure. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the industry, especially those working in quantitative analysis or algorithmic trading. Attend relevant meetups or webinars to make connections that could lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python, Java, or C++. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and data analysis questions. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with coding challenges.
We think you need these skills to ace Algorithms and Analytics Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in algorithmic trading, data analysis, and programming languages like Python, Java, or C++. Emphasise any projects or roles that demonstrate your understanding of market dynamics and trading strategies.
Craft a Strong Cover Letter: In your cover letter, express your passion for algorithmic trading and how your skills align with the role. Mention specific experiences that showcase your ability to design and enhance trading algorithms, as well as your analytical skills.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your proficiency in big data analysis, deep learning, and any experience with statistical languages like R or MATLAB. This will help demonstrate your capability to handle the technical demands of the role.
Highlight Collaborative Experience: Since the role involves working closely with various teams, mention any past experiences where you collaborated on projects. This could include working with IT, front office teams, or other departments to deliver successful outcomes.
How to prepare for a job interview at UBS
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python, Java, or C++. Be prepared to discuss specific projects where you've designed and built algorithmic trading models or conducted data analysis.
✨Understand Market Microstructure
Demonstrate your knowledge of market dynamics and microstructure. Be ready to explain how these concepts influence trading strategies and client interactions, as this will show your depth of understanding in the field.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice explaining your thought process clearly and logically, especially when it comes to back testing trading strategies or optimising order flow.
✨Emphasise Collaboration and Communication
Since you'll be working closely with various teams, highlight your ability to collaborate effectively. Share examples of past experiences where you successfully communicated complex ideas to non-technical stakeholders.
