At a Glance
- Tasks: Analyse quantitative data to drive trading and risk management strategies.
- Company: Leading insurance firm in London with a focus on innovation.
- Benefits: Attractive salary up to £150K and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the insurance market.
- Qualifications: MSc or PhD in a STEM subject with Python and Git experience.
The predicted salary is between 120000 - 150000 € per year.
Quantitative Analyst - Insurance London, United Kingdom
Tech stack:
- Quantitative Trading Analyst
- Git & GitHub
- Python
Required Qualifications:
- MSc or PhD in a STEM subject
- Python
- Version control such as Git/GitHub
Preferred Skills:
- Markets focused on trading and risk management within the OTC or exchange-based market
- Experience in yield curves construction
- Knowledge of fixed income performance attribution
Compensation: Up to £150K
Role type: Full time
Visa sponsorship: Not provided
Quantitative Analyst - Insurance in London - Quant Capital employer: Stars Arena
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through tailored development programmes and opportunities to engage with cutting-edge technology in quantitative trading and risk management. Join us to be part of a forward-thinking team where your contributions are valued and rewarded, all while enjoying the vibrant atmosphere of one of the world's leading financial hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst - Insurance in London - Quant Capital
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and quantitative analysis fields on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with yield curves and fixed income performance attribution. We want you to shine!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant quantitative trading or risk management projects, make sure to highlight them during your conversations. It’s all about demonstrating your expertise.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that dream job together!
We think you need these skills to ace Quantitative Analyst - Insurance in London - Quant Capital
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Analyst role. Highlight your MSc or PhD in a STEM subject and any relevant experience with Python and version control tools like Git. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis in the insurance sector. Share specific examples of your experience with yield curves or fixed income performance attribution to grab our attention.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills prominently. Mention your proficiency in Python and any projects you've worked on that involved trading or risk management. We love seeing practical applications of your knowledge!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Stars Arena
✨Know Your Numbers
As a Quantitative Analyst, you'll need to demonstrate your strong grasp of quantitative concepts. Brush up on yield curves and fixed income performance attribution. Be ready to discuss how you've applied these in past projects or studies.
✨Showcase Your Coding Skills
Since Python and version control with Git are essential for this role, make sure you can talk about your experience with these tools. Prepare to share specific examples of projects where you used Python to solve complex problems or automate tasks.
✨Understand the Market
Familiarise yourself with current trends in trading and risk management, especially within the OTC or exchange-based markets. Being able to discuss recent developments or challenges in these areas will show your passion and knowledge.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company's approach to quantitative analysis and how they manage risk. This not only shows your interest but also helps you gauge if the company is the right fit for you.
