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- Tasks: Develop high-quality quantitative applications for trading and enhance analytics models.
- Company: Leading global financial services company with a focus on innovation.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of finance.
- Qualifications: Strong programming skills in Python and a background in quantitative research.
- Other info: Collaborate with trading and IT teams in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading global financial services company is seeking a Quantitative Developer to enhance their analytics and models for Capital Markets Financing in London. This role focuses on developing high-quality quantitative applications for trading, requiring extensive experience in Python, financial mathematics, and data analytics.
Collaboration with trading and IT teams is essential to deliver innovative solutions. Ideal candidates will possess strong programming skills and a background in quantitative research within finance. Flexible working options are available.
Quant Finance Engineer: Index Trading & Optimisation in City of Westminster employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Finance Engineer: Index Trading & Optimisation in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any quantitative models you've developed. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for those interviews! Brush up on your financial mathematics and data analytics knowledge. Practise common quant finance interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Quant Finance Engineer: Index Trading & Optimisation in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python, financial mathematics, and data analytics. We want to see how your skills align with the role of a Quant Finance Engineer, so don’t hold back on showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative finance and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Collaboration Skills: Since collaboration with trading and IT teams is key, mention any experiences where you’ve worked in a team setting. We appreciate candidates who can communicate effectively and contribute to innovative solutions together with others.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at UBS
✨Master Your Python Skills
Make sure you brush up on your Python programming skills before the interview. Be prepared to discuss specific projects where you've used Python for quantitative applications, and consider practising coding challenges that focus on financial mathematics.
✨Know Your Financial Mathematics
Review key concepts in financial mathematics that are relevant to the role. Be ready to explain how you've applied these concepts in past experiences, especially in relation to trading and optimisation. This will show your depth of knowledge and practical application.
✨Showcase Your Data Analytics Experience
Prepare examples of how you've used data analytics to solve problems or improve processes in previous roles. Highlight any tools or methodologies you've employed, and be ready to discuss the impact of your work on trading strategies or decision-making.
✨Emphasise Collaboration Skills
Since collaboration with trading and IT teams is crucial, think of instances where you've successfully worked in a team environment. Be ready to share how you communicated complex ideas to non-technical stakeholders and contributed to innovative solutions.
