Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge quantitative models for QIS strategies and analytics.
- Company: Dynamic financial firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with excellent career advancement potential.
- Why this job: Join a team shaping the future of finance with advanced technology and impactful projects.
- Qualifications: 3+ years in quantitative roles, strong Python skills, and a STEM background.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Lead the design, development, and implementation of quantitative models and analytics supporting the QIS business, covering strategy research, pricing, risk, and lifecycle management.
- Play a key role in designing and modelling the next generation of QIS strategies, partnering closely with Trading, Structuring and Sales from idea generation through production launch.
- Deliver high quality quantitative applications, tools, and workflows to support QIS Trading in managing, analysing, and hedging risk.
- Contribute to the transformation of the QIS calculation stack, including migration towards a strategic, cloud based architecture in collaboration with IT and platform teams.
- Support internal and external stakeholders, including clients, third party calculation agents, and internal platform teams, ensuring robustness, transparency, and scalability of QIS analytics.
- Build and maintain strong working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in London and across regions.
Qualifications
- 3+ years of professional experience in QIS, systematic trading, quantitative research, structuring, or front office quant roles within Global Markets.
- Strong proficiency in Python for developing quantitative models, analytics, and production ready applications.
- Solid grounding in financial mathematics, time series analysis, and quantitative modelling techniques.
- Experience working with large scale data and analytics pipelines; familiarity with KDB/Q or equivalent technologies is required.
- Strong analytical, problem solving, and architectural design skills, with an ability to operate effectively in a front office environment.
- Academic background in Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline.
- Strong knowledge of AI/ML techniques, with experience delivering such models into production environments a plus.
- Proficiency in additional programming languages such as Java or C++; experience with performance critical or large scale systems is a plus.
- Experience with strategic cloud platforms and workflows (e.g. Azure based architectures); exposure to migration or platform transformation initiatives is advantageous.
- Strong understanding of the end to end lifecycle of systematic strategies, from research and modelling through production and client delivery.
- Post graduate academic studies in a quantitative STEM subject.
QIS Quantitative Analyst in London employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QIS Quantitative Analyst in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio of projects or models you've worked on, especially those using Python or AI/ML techniques. This will give you an edge when discussing your capabilities.
✨Ace the Interview
Prepare for technical questions by brushing up on financial mathematics and quantitative modelling techniques. Practice explaining complex concepts clearly, as communication is key in front office roles.
✨Apply Through Us!
Check out our website for openings and apply directly. We love seeing candidates who are proactive and engaged, so don’t hesitate to reach out if you have questions about the role!
We think you need these skills to ace QIS Quantitative Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the QIS Quantitative Analyst role. Highlight your experience in quantitative modelling, Python proficiency, and any relevant projects that showcase your skills in financial mathematics and analytics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about QIS and how your background aligns with the responsibilities outlined in the job description. Don’t forget to mention your experience with cloud platforms and large-scale data!
Showcase Your Problem-Solving Skills: In your application, be sure to include examples of how you've tackled complex problems in previous roles. This will demonstrate your analytical skills and ability to operate effectively in a front office environment, which is key for us at StudySmarter.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at UBS
✨Know Your Quantitative Models
Make sure you brush up on the quantitative models and analytics relevant to the QIS business. Be prepared to discuss your experience in designing and implementing these models, as well as any specific strategies you've worked on. This will show your depth of knowledge and how you can contribute to their team.
✨Showcase Your Python Skills
Since strong proficiency in Python is a must for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain a project where you developed quantitative applications. Practising coding challenges beforehand can really help you shine during the interview.
✨Understand the Cloud Architecture
Familiarise yourself with cloud-based architectures, especially if you have experience with Azure. Be prepared to discuss how you've contributed to platform transformations or migrations in the past. This will highlight your ability to adapt to new technologies and support the company's strategic goals.
✨Build Relationships in Your Answers
Since collaboration with various teams is key in this role, think of examples that showcase your ability to build strong working relationships. Whether it's with Trading, Structuring, or IT, having anecdotes ready will demonstrate your teamwork skills and how you can effectively partner with others.