Quant Finance Analyst - Capital Markets Analytics (London)
Quant Finance Analyst - Capital Markets Analytics (London)

Quant Finance Analyst - Capital Markets Analytics (London)

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop models and analytics for trading desks in Capital Markets Financing.
  • Company: Global wealth management firm based in London with a focus on innovation.
  • Benefits: Supportive environment, career growth opportunities, and collaboration across global teams.
  • Why this job: Join a dynamic team and make an impact in the world of finance.
  • Qualifications: Proficiency in Python, financial mathematics knowledge, and data analytics experience.
  • Other info: Diverse skills are valued, fostering a collaborative and inclusive workplace.

The predicted salary is between 36000 - 60000 £ per year.

A global wealth management firm in London is seeking a skilled quantitative analyst to develop models and analytics for Capital Markets Financing’s trading desks. The ideal candidate will have strong proficiency in Python, deep knowledge of financial mathematics, and experience with large-scale data analytics.

Responsibilities include delivering high-quality applications and collaborating across global teams. The firm values diverse skills and offers a supportive environment for career growth.

Quant Finance Analyst - Capital Markets Analytics (London) employer: UBS

Join a leading global wealth management firm in London, where you will thrive in a dynamic and inclusive work culture that champions innovation and collaboration. With a strong emphasis on employee development, you will have access to extensive growth opportunities while working alongside talented professionals in the Capital Markets Analytics team. Enjoy the benefits of a supportive environment that values diverse skills and fosters meaningful contributions to high-quality applications.
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Contact Detail:

UBS Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quant Finance Analyst - Capital Markets Analytics (London)

✨Tip Number 1

Network like a pro! Reach out to professionals in the finance and analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects and any financial models you've developed. This is your chance to demonstrate your expertise in a tangible way that stands out to employers.

✨Tip Number 3

Prepare for interviews by brushing up on your financial mathematics and data analytics knowledge. Practice common quantitative problems and be ready to discuss how you've applied your skills in real-world scenarios.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Quant Finance Analyst - Capital Markets Analytics (London)

Quantitative Analysis
Python
Financial Mathematics
Large-Scale Data Analytics
Model Development
Application Development
Collaboration Skills
Analytical Skills

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your proficiency in Python and financial mathematics in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with large-scale data analytics!

Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences relate to developing models and analytics for trading desks. This shows us you’re genuinely interested in the position!

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out!

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 do!

How to prepare for a job interview at UBS

✨Brush Up on Your Python Skills

Make sure you're comfortable with Python, as it's a key requirement for the role. Review relevant libraries and frameworks that are commonly used in quantitative finance, such as NumPy and pandas, so you can confidently discuss your experience and even solve coding challenges during the interview.

✨Know Your Financial Mathematics

Since the job involves financial mathematics, be prepared to discuss concepts like option pricing, risk management, and statistical analysis. Practise explaining these concepts clearly, as you might need to demonstrate your understanding through problem-solving scenarios.

✨Familiarise Yourself with Data Analytics Tools

The role requires experience with large-scale data analytics, so make sure you know the tools and techniques used in the industry. Be ready to talk about any past projects where you've applied these skills, and how they contributed to successful outcomes.

✨Show Your Collaborative Spirit

This firm values teamwork, so highlight your ability to work across global teams. Prepare examples of how you've successfully collaborated with others in previous roles, and be ready to discuss how you can contribute to a supportive environment that fosters career growth.

Quant Finance Analyst - Capital Markets Analytics (London)
UBS

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