At a Glance
- Tasks: Develop and enhance quantitative models for investment strategies.
- Company: Leading Specialist UK Insurer with a dynamic and collaborative culture.
- Benefits: Gain exposure to the ALM team and investment processes.
- Why this job: Join a rapidly growing industry and make an impact in finance.
- Qualifications: Strong quantitative skills and coding experience in Python, Matlab, or R.
- Other info: Ideal for quick learners who thrive in fast-paced environments.
The predicted salary is between 36000 - 60000 £ per year.
Clarence George is working on a new Quant Strategist position at a leading Specialist UK Insurer. The purpose of the role will be to take responsibility for developing, maintaining and enhancing key quantitative models and the overall investment system within the ALM team. The team are looking for an ambitious quick-learner who enjoys problem solving in an innovative environment to play a significant role in the front office, investment position.
Profile
- Strong quantitative skills and the ability to build/develop models from scratch
- Experienced in coding with Python, Matlab, R or any other advanced language
- Good analytical problem solver - able to tackle and solve problems independently demonstrated from past work experience or PhD
- Experience working in a fast-paced environment
- Knowledge of derivative products – interest rate swaps, inflation swaps would be beneficial but not a key requirement
- Open to a variety of quantitative backgrounds such as Data Science who would like a career within Investment
This is a fantastic opportunity to join a rapidly growing industry in a highly collaborative and dynamic team. This offers fantastic exposure to the wider ALM and investment team with regular interaction with the wider business. For more information, please apply directly. Please note this firm is unable to offer visa sponsorship at this time.
Quant Strategist – Specialist UK Insurer in London employer: Clarence George
Contact Detail:
Clarence George Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Strategist – Specialist UK Insurer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills. Be ready to discuss your past projects and how you've tackled complex problems. Show them you’re not just a number cruncher but a creative thinker!
✨Tip Number 3
Don’t underestimate the power of a follow-up! After your interview, drop a quick thank-you email. It shows your enthusiasm and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team. Let’s get you that Quant Strategist role!
We think you need these skills to ace Quant Strategist – Specialist UK Insurer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and any relevant coding experience. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Quant Strategist position and how your problem-solving skills can contribute to our innovative environment.
Showcase Your Projects: If you've worked on any relevant projects or models, make sure to mention them in your application. We love seeing practical examples of your work, especially if they demonstrate your analytical abilities!
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 this fantastic opportunity in our dynamic team!
How to prepare for a job interview at Clarence George
✨Know Your Quantitative Skills
Make sure you can confidently discuss your quantitative skills and how you've applied them in past roles or projects. Be ready to explain the models you've developed and the impact they had, as this will show your potential employer that you can hit the ground running.
✨Brush Up on Coding Languages
Since coding is a key part of this role, ensure you're comfortable with Python, Matlab, or R. Prepare to discuss specific coding challenges you've faced and how you overcame them. You might even want to practice some coding problems beforehand to keep your skills sharp!
✨Demonstrate Problem-Solving Abilities
Be prepared to share examples of complex problems you've solved independently. Think about the thought process you used and the steps you took to reach a solution. This will highlight your analytical skills and show that you're a proactive thinker.
✨Familiarise Yourself with Derivative Products
While knowledge of derivative products isn't a key requirement, having a basic understanding of interest rate swaps and inflation swaps could give you an edge. Do some research and be ready to discuss how these products fit into the investment landscape.