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- Tasks: Join us as a Quantitative Analyst, creating innovative analytics and tools for trading solutions.
- Company: UBS is the world's largest global wealth manager, operating in over 50 countries.
- Benefits: Enjoy flexible working arrangements, including hybrid options and a supportive culture.
- Why this job: Be part of a dynamic team, enhancing trading capabilities and making a real impact.
- Qualifications: 4+ years experience preferred; strong analytical skills and proficiency in Python and C++ required.
- Other info: Open to career returners; diverse backgrounds welcomed.
The predicted salary is between 43200 - 72000 £ per year.
Job Reference #
309441BR
City
London
Job Type
Full Time
Your role
Are you an experienced quantitative analyst with experience in derivatives pricing, risk and data science?
Are you in innovative thinking, have analytical mindset, enjoy creating analytics and building analytical tools?
We are looking for someone who can work closely with trader and sales, blending top analytical methods and cutting edge technologies to automate the desk by providing fast time-to-market desk solutions.
• You will be participating in the design and development of advanced analytics and full stack solutions used by Front Office to enhance desk automation levels and revenue generating capabilities, this includes:
• Working as part of the team to create the next generation automated hedging solution for the QIS desk
• Working as part of the team to redesign and automate QIS strategies
• Working as part of the team developing the next generation Trading and structuring pricing capabilities.
• You will be expected to closely liaise with trading, sales, structuring and the technology groups in the Equity Derivatives and QIS business.
• You will be able to rapidly learn in-depth knowledge and gain experience of Equity Derivatives and QIS trading / risk management by creating new tools and solutions with the business.
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 within the ACQA Quant Platform team working with the wider QIS platform and algo quant teams, Quant Core platforms & Valuation model quant teams globally. In addition, you will be working closely with global business stakeholders to elicit and review requirements
Your expertise
• This position is open to professionals with at least 4 years of experience. Exceptional candidates with less experience can be considered.
• Minimum Bachelor/Masters degree from a recognized University. Computer Science / Mathematics / Physics / Engineering majors preferred.
• Strong problem solving and analytical skills with prior experience in applying machine learning and statistical techniques to solve business problems.
• Strong technical skills in at least one scripting language (Python preferred) and one core language (C++ preferred)
• An excellent team player with a good balance of strategic view & rapid solution development.
• Solid background in data structure and algorithms.
• Knowledge of QIS or Equity Derivatives business will be a plus.
• Knowledge of KDB, Kafka, Kubernetes, Docker will be a plus.
*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 embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.
From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it\’s our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?
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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IB Quants - Quantitative Analyst employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IB Quants - Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative analysis and derivatives pricing. Being well-versed in current methodologies and technologies will not only boost your confidence but also impress the hiring team during discussions.
✨Tip Number 2
Network with professionals in the industry, especially those working in equity derivatives and QIS. Attend relevant meetups or webinars to gain insights and potentially make connections that could lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and C++. Consider working on personal projects or contributing to open-source projects that showcase your ability to apply machine learning and statistical techniques.
✨Tip Number 4
Prepare to discuss specific examples of how you've used analytical tools to solve business problems. Be ready to explain your thought process and the impact of your solutions, as this will demonstrate your problem-solving capabilities.
We think you need these skills to ace IB Quants - Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, derivatives pricing, and any specific technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative analysis and how your skills align with the role. Mention specific projects or experiences that demonstrate your analytical mindset and innovative thinking.
Showcase Technical Skills: Clearly outline your technical skills, especially in Python and C++. Provide examples of how you've applied machine learning and statistical techniques in previous roles to solve business problems.
Highlight Team Collaboration: Emphasise your ability to work as part of a team. Provide examples of past collaborations with traders, sales, or technology groups, showcasing your communication skills and ability to liaise effectively across departments.
How to prepare for a job interview at UBS
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've applied analytical methods and machine learning techniques in your previous roles. Be ready to explain the impact of your work on business outcomes, especially in relation to derivatives pricing or risk management.
✨Demonstrate Technical Proficiency
Make sure you can confidently discuss your experience with programming languages, particularly Python and C++. Be prepared to solve a technical problem during the interview to showcase your coding skills and understanding of data structures and algorithms.
✨Understand the Business Context
Familiarise yourself with the Equity Derivatives and QIS business. Research current trends and challenges in the industry, and be ready to discuss how your skills can contribute to innovative solutions that enhance desk automation and revenue generation.
✨Emphasise Team Collaboration
Highlight your experience working in teams, especially in cross-functional settings. Discuss how you’ve successfully collaborated with traders, sales, and technology groups to develop solutions, as this role requires strong teamwork and communication skills.
