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- Tasks: Build relationships and provide quantitative expertise in pricing and risk models.
- Company: Multinational banking and financial services company based in London.
- Benefits: Dynamic work environment with opportunities to contribute to trading strategies.
- Why this job: Directly impact trading strategies and risk management in a fast-paced setting.
- Qualifications: Strong skills in C++ and Python, with a solid understanding of financial products.
- Other info: Ideal for those with a quantitative academic background looking to grow.
The predicted salary is between 60000 - 80000 £ per year.
A multinational banking and financial services company is seeking a candidate for a full-time position in London. The role involves building relationships with Rates Trading and Sales desks, providing quantitative expertise in pricing and risk models, and developing interest rate analytics.
Candidates should have strong skills in C++ and Python, alongside a solid understanding of financial products and a quantitative academic background.
The position offers a dynamic environment where you will directly contribute to trading strategies and risk management.
Rates Quantitative Analyst — Pricing, Risk & Curve Modeling in London employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Rates Quantitative Analyst — Pricing, Risk & Curve Modeling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in Rates Trading and Sales. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects in C++ or Python, make sure to highlight them. Share your GitHub or any relevant work during interviews to demonstrate your quantitative expertise.
✨Tip Number 3
Prepare for technical questions! Brush up on your financial products knowledge and be ready to discuss pricing and risk models. We want to see how you think, so practice explaining your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Rates Quantitative Analyst — Pricing, Risk & Curve Modeling in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C++ and Python skills in your application. We want to see how you can use these languages to tackle real-world problems in pricing and risk models.
Know Your Financial Products: Demonstrate your understanding of financial products in your written application. We’re looking for candidates who can connect their quantitative background with practical applications in the banking sector.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Rates Quantitative Analyst role. We appreciate when candidates take the time to align their experiences with what we’re looking for.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at UBS
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills, especially in pricing and risk models. Be ready to discuss how you've applied C++ and Python in real-world scenarios, as this will show your practical understanding of the tools.
✨Understand Financial Products
Familiarise yourself with various financial products, particularly interest rate derivatives. Being able to speak confidently about these will demonstrate your knowledge and help you build rapport with the Rates Trading and Sales desks.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges in C++ and Python, and be prepared to explain your thought process clearly. This will showcase your analytical skills and ability to think on your feet.
✨Show Your Team Spirit
This role involves collaboration, so highlight any past experiences where you've worked effectively in a team. Discuss how you can contribute to trading strategies and risk management while building strong relationships with colleagues.