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For Companies At a Glance
- Tasks: Join us to build innovative tools for algorithmic trading and enhance analytics for global markets.
- Company: UBS is the world's largest global wealth manager, operating in over 50 countries.
- Benefits: Enjoy flexible working options, a supportive team, and opportunities for personal growth.
- Why this job: Be part of a collaborative culture that values diverse skills and experiences while making an impact.
- Qualifications: Degree in computer science, engineering, physics, or mathematics; experience in kdb+/q required.
- Other info: Open to career returners; we prioritise disability inclusion and reasonable accommodations.
The predicted salary is between 43200 - 72000 £ per year.
Your role
- Are you interested in algorithmic trading?
- Are you an innovative thinker who enjoys building tools?
- Work closely with products across Global Markets including Equities, Futures, and FX, and Technology to deliver regional and global projects.
- Help design and enhance analytics for the Equities.
- Analyze algo performance for clients, including highly bespoke, in-depth reports.
- Translate business requirements into designs for global solutions.
Your team
You will be working in the Global Markets Quantitative Analytics and Development team. Our role is to provide tools, analytics, and execution consultancy for Execution Services and Electronic Trading for Equities, Futures, and FX products globally. Our team is responsible for building top-grade, high-performance client analytics and data.
Your expertise
- At least one degree in computer science, engineering, physics, or mathematics.
- Experience in kdb+/q.
- Well-versed in Computer Science fundamentals, modern software development practices, Unix utilities.
- Proficient in at least one of Python, MATLAB, or R.
- Experience in designing and building algorithmic trading analytics, market data, and modeling market microstructure.
- Good understanding of data science, market dynamics, and ability to explain, visualize, and work with data.
- Experience in global Equities, Futures, Options, and/or FX products and data is a plus.
- Strong communication skills.
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.
KDB+/Q Quantitative Developer employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land KDB+/Q Quantitative Developer
✨Tip Number 1
Familiarise yourself with kdb+/q and algorithmic trading concepts. Engage in online courses or workshops that focus on these areas to enhance your understanding and demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the finance and technology sectors, particularly those involved in quantitative analytics. Attend industry events or join relevant online forums to make connections that could lead to referrals.
✨Tip Number 3
Showcase your problem-solving skills by working on personal projects related to market data analysis or algorithmic trading. Having tangible examples of your work can set you apart during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and reviewing common algorithms used in quantitative finance. This will help you feel more confident and ready to tackle any technical questions that may arise.
We think you need these skills to ace KDB+/Q Quantitative Developer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the KDB+/Q Quantitative Developer position. Familiarise yourself with algorithmic trading concepts and the specific tools mentioned in the job description.
Tailor Your CV: Highlight your relevant experience in kdb+/q, Python, MATLAB, or R. Make sure to include any projects or roles that demonstrate your skills in algorithmic trading analytics and market data.
Craft a Strong Cover Letter: Use your cover letter to explain why you're passionate about algorithmic trading and how your background aligns with the role. Mention specific experiences that showcase your problem-solving skills and ability to work with data.
Showcase Communication Skills: Since strong communication skills are essential for this role, consider including examples in your application that demonstrate your ability to explain complex concepts clearly and collaborate effectively with teams.
How to prepare for a job interview at UBS
✨Showcase Your Technical Skills
Make sure to highlight your experience with kdb+/q and any other relevant programming languages like Python, MATLAB, or R. Be prepared to discuss specific projects where you've applied these skills, especially in algorithmic trading or analytics.
✨Understand Market Dynamics
Demonstrate your knowledge of market microstructure and the dynamics of Equities, Futures, and FX products. Be ready to explain how you would approach designing and building analytics for these markets.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or algorithmic problems that relate to trading analytics, as this will showcase your analytical thinking and coding proficiency.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex concepts in a simple manner, as you may need to translate technical details into business requirements during the interview.
