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For Companies At a Glance
- Tasks: Design and enhance trading algorithms, back test strategies, and analyse client trading patterns.
- Company: UBS is a global wealth manager operating in over 50 countries, focused on diverse financial services.
- Benefits: Enjoy flexible working options and a commitment to diversity and inclusion.
- Why this job: Join a dynamic team, innovate in algorithmic trading, and make a real impact in finance.
- Qualifications: Doctorate/master's in relevant fields; experience in algorithmic trading and strong programming skills required.
- Other info: Collaborate with top professionals in a supportive and inclusive environment.
The predicted salary is between 43200 - 72000 £ per year.
Location: United Kingdom, London
Division: Investment Bank, Quantitative Analysis
Job Reference #: 318539BR
Job Type: Full Time
Your role
- Are you interested in algorithmic trading? Are you an innovative thinker and enjoy building a leading trading platform?
- Help design and enhance trading algorithms and analytics for the equities business and beyond.
- Back test trading strategies across different market regimes.
- Analyze client trading patterns to optimize their interactions with UBS.
- Provide execution consultancy on client order flow, including Transaction Cost Analysis.
- Research market microstructure and produce analysis for clients.
- Collaborate closely with Electronic Trading, Equity front office, and IT to deliver regional and global projects.
Your team
You will be part of the Algorithms and Analytics team in London, responsible for providing trading algorithms and execution consultancy for electronic trading across all equities and other products. The team builds high-performance quant trading models, researches market microstructure, and optimizes trading performance.
Your expertise
- Doctorate/master's degree in computer science, physics, mathematics, or engineering.
- Experience in designing and building algorithmic trading models and modeling market microstructure.
- Strong data exploration and modeling skills.
- Understanding of market dynamics and ability to visualize large data sets.
- Big data analysis and deep learning skills are advantageous.
- Proficiency in Python, Java, or C++ on Linux and Windows.
- Knowledge of UNIX utilities and shell scripting.
- Familiarity with at least one statistical language (R, MATLAB, etc.).
- Experience with KDB and q is a plus.
- Strong foundation in Computer Science fundamentals and modern software development practices.
- Interest in market structure and trading.
- Keen learner and enjoys challenges.
About us
UBS is the world's largest and only truly global wealth manager, operating in over 50 countries across major financial centers. We serve through four divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank.
Join us
At UBS, our people drive our success. We value diversity, foster an inclusive culture, and support flexible working options. We are committed to disability inclusion and provide reasonable accommodations during our recruitment process.
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer, respecting and empowering individuals regardless of background, culture, or perspective.
Algorithms and Analytics Quantitative Analyst employer: UBS Financial Services
Contact Detail:
UBS Financial Services 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 will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the quantitative analysis field, especially those working in algorithmic trading. Attend industry events or webinars to make connections that could lead to referrals or insider information about the role.
✨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 that showcase your ability to build trading models or analyse large datasets.
✨Tip Number 4
Prepare to discuss your experience with data exploration and modelling during interviews. Be ready to provide examples of how you've applied these skills in real-world scenarios, particularly in relation to trading strategies or analytics.
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, quantitative analysis, and programming skills. Emphasise your educational background in computer science, physics, mathematics, or engineering, as well as any specific projects or roles that align with the job description.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for algorithmic trading and your innovative thinking. Mention specific examples of how you've designed or enhanced trading algorithms, back-tested strategies, or analysed market microstructure. This is your chance to show why you're a great fit for the Algorithms and Analytics team.
Highlight Technical Skills: Clearly list your technical skills, especially proficiency in Python, Java, or C++, and any experience with big data analysis or deep learning. If you have familiarity with statistical languages like R or MATLAB, make sure to include that as well. This role requires strong data exploration and modelling skills, so demonstrate your expertise.
Showcase Problem-Solving Abilities: In your application, provide examples of how you've tackled complex problems in previous roles. Discuss any challenges you've faced in designing trading models or optimising performance, and how you overcame them. This will illustrate your keen learner attitude and ability to thrive in challenging environments.
How to prepare for a job interview at UBS Financial Services
✨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.
✨Demonstrate Your Analytical Thinking
Prepare to explain your approach to back testing trading strategies and analysing client trading patterns. Use examples from your past experiences to illustrate how you optimise interactions and improve trading performance.
✨Understand Market Microstructure
Familiarise yourself with market dynamics and microstructure concepts. Be ready to discuss how these elements influence trading algorithms and the importance of execution consultancy in client order flow.
✨Collaborate and Communicate
Since the role involves working closely with various teams, practice articulating your ideas clearly. Highlight any previous collaborative projects and how you effectively communicated complex concepts to non-technical stakeholders.
