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- Tasks: Develop cutting-edge models and analytics for Capital Markets Financing's trading desks.
- Company: Join UBS, a leading global wealth manager with a collaborative culture.
- Benefits: Enjoy flexible working options, professional growth, and a supportive team environment.
- Why this job: Make a real impact in finance by delivering innovative solutions and optimising trading strategies.
- Qualifications: Proficient in Python, with a strong background in financial mathematics and data analytics.
- Other info: Be part of a diverse team driving success in a dynamic, global environment.
The predicted salary is between 36000 - 60000 £ per year.
As a member of our London team, you will:
- Develop models and analytics for Capital Markets Financing's (CMF) trading desks in London, with primary focus on index / delta-1 trading and optimisation.
- Deliver high-quality quantitative apps and workflows for CMF Index trading, in partnership with other Quant and IT teams.
- Contribute to the development of innovative marking, rebalancing, and optimisation solutions in collaboration with our wider global team as well as Equity Derivative Quants.
- Build strong relationships with Trading, Quant, IT and Risk Control partners both in London and across regions.
Qualifications and Skills
- Proficient in Python for developing analytics and models.
- Strong knowledge of financial mathematics and optimisation theory, with proficiency in corresponding Python packages.
- Extensive experience in large-scale data analytics pipelines, with at least one of MS Azure Data Bricks, SQL, or KDB.
- Academic background in Mathematics or similar STEM subject.
- Professional experience in trading, quantitative research, or quantitative development teams in Prime Financing, Equity Derivative or Fixed Income Repo divisions.
- Proficiency in additional programming languages, such as C++, or front-end development in React/Enaml.
- Professional experience with Azure workflows and components, streaming workflows is a plus.
- Strong knowledge of AI/ML theory, with experience in delivering such models and pipelines at scale in production a plus.
- Post-graduate academic studies in Mathematics or similar STEM subject.
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.
Financing Quants deliver best-in-class quantitative solutions for clients and trading functions of UBS's Financing business, part of IB Global Markets. As a member of our team, you will play a pivotal role in delivering optimisation, quoting, and marking models and analytics across our equity financing product suite. You will be developing solutions within UBS's proprietary cloud-based quantitative analytics platform (ACQA) and collaborating across global Trading, Quant and IT teams, to support our mission of driving measurable value for our clients and stakeholders.
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We are committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. 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.
Financing Quantitative Analyst in City of Westminster employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financing Quantitative Analyst in City of Westminster
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at UBS. Building relationships can open doors that applications alone can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving Python and financial models. Let them see your passion and expertise in action.
✨Tailor Your Approach
Do your homework on UBS and the specific role of Financing Quantitative Analyst. Tailor your conversations to highlight how your skills in data analytics and optimisation can directly benefit their trading desks.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Financing Quantitative Analyst in City of Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python proficiency and any experience with financial mathematics. We want to see how you can develop those analytics and models that are crucial for our trading desks.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background to what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at UBS
✨Know Your Python Inside Out
Since the role requires proficiency in Python for developing analytics and models, make sure you brush up on your skills. Be ready to discuss specific projects where you've used Python, especially with financial mathematics and optimisation theory.
✨Showcase Your Data Analytics Experience
Highlight your experience with large-scale data analytics pipelines. If you've worked with MS Azure Data Bricks, SQL, or KDB, prepare examples that demonstrate how you’ve leveraged these tools to solve complex problems.
✨Understand the Importance of Collaboration
UBS values teamwork, so be prepared to discuss how you've built strong relationships with different teams in previous roles. Share examples of successful collaborations with Trading, Quant, IT, or Risk Control partners.
✨Stay Updated on AI/ML Trends
If you have experience with AI/ML theory and delivering models at scale, make sure to mention it. Discuss any relevant projects and how they can apply to the role, as this knowledge is a plus for the position.
