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- Tasks: Develop innovative models for pricing and risk management in dynamic investment strategies.
- Company: UBS, the world's largest global wealth manager with a diverse and inclusive culture.
- Benefits: Flexible working options, supportive team environment, and opportunities for professional growth.
- Why this job: Tackle intellectual challenges and collaborate with experts in quantitative finance.
- Qualifications: Strong academic background in quantitative fields and proficiency in C++/Python.
- Other info: Open to career returners and committed to disability inclusion.
The predicted salary is between 43200 - 72000 £ per year.
The Equities Quantitative Analytics Team is looking for a modeler to work within the Quantitative Investment Strategies (QIS) modelling team. The team supports the QIS business which offers clients products on custom investment strategies across a range of asset classes.
Do you love an intellectual challenge? Are you dedicated to quality design?
- Developing a pricing and risk-management framework for dynamic investment strategies.
- Developing derivatives models and extending existing functionality within analytics libraries to facilitate new business initiatives and comply with regulatory requirements.
- Frequent interaction with trading, structuring and control functions to provide support on modelling and quantitative matters.
- Close collaboration and coordination with both stakeholders and IT teams to improve our pricing and booking capabilities.
- Contributing to the team's efforts to produce comprehensive documentation and testing.
Your expertise:
- Strong academic background in a quantitative field (mathematics, physics, engineering, etc) – Post-Graduate degree strongly preferred.
- Excellent understanding of quantitative finance, modelling and derivative pricing techniques along with practical experience.
- A high-level understanding of financial products and markets, especially equity derivatives.
- Ability to communicate complex ideas in a fluent and articulate manner.
- Proficiency in one of C++/python (with knowledge of the other language an advantage) and an ability to develop within a well-established codebase.
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.
Equities Modelling Quantitative Analyst employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equities Modelling Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in quantitative roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or models you've worked on, make sure to highlight them in conversations. It’s a great way to demonstrate your expertise and passion for quantitative finance.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in C++ and Python. Practice common quantitative problems and be ready to discuss your thought process. We want to see how you tackle challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at UBS.
We think you need these skills to ace Equities Modelling Quantitative Analyst
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong academic background and any relevant experience in quantitative finance. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise in modelling and derivative pricing techniques!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience relates to the Equities Quantitative Analytics Team and the challenges they face. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate articulate communication, especially when it comes to complex ideas. Make it easy for us to understand your thought process and qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at UBS
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge, especially around modelling and derivative pricing techniques. Be ready to discuss specific models you've worked on and how they apply to equity derivatives.
✨Show Off Your Coding Skills
Since proficiency in C++ or Python is key, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to financial modelling beforehand.
✨Communicate Clearly
You’ll need to explain complex ideas simply, so practice articulating your thoughts. Consider how you would explain a complicated model to someone without a technical background, as this will showcase your communication skills.
✨Understand the Business Context
Familiarise yourself with UBS's business divisions and how the Equities Quantitative Analytics team fits into the bigger picture. Being able to connect your role to the company's goals will show that you're not just technically skilled but also aligned with their mission.
