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- 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 grow your career in finance.
- Other info: Ideal for ambitious problem solvers looking to innovate in finance.
- Why this job: Join a fast-paced environment and make a real impact in investment.
- Qualifications: Strong quantitative skills and coding experience in Python, Matlab, or R.
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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the Specialist UK Insurer. A friendly chat can sometimes lead to insider info or even a referral, which can give us a leg up in the application process.
✨Tip Number 2
Show off your skills! If you’ve got some cool projects or models you've built using Python, Matlab, or R, make sure to highlight them in conversations or during interviews. We want to demonstrate our problem-solving abilities and quantitative skills in action!
✨Tip Number 3
Prepare for the unexpected! In a fast-paced environment, we might face tricky questions or case studies during interviews. Practise tackling complex problems on the spot, so we can showcase our analytical prowess and quick thinking.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in the role and the company. Let’s get our foot in the door!
We think you need these skills to ace Quant Strategist – Specialist UK Insurer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong 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 passionate 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 analytical skills and coding prowess!
Apply Through Our Website: Don’t forget to apply directly through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Clarence George
✨Know Your Quantitative Models
Make sure you brush up on your quantitative skills and be ready to discuss the models you've developed in the past. Be prepared to explain your thought process and how you approached problem-solving in those situations.
✨Show Off Your Coding Skills
Since coding is a big part of this role, practice explaining your experience with Python, Matlab, or R. Bring examples of projects where you used these languages to build or enhance models, and be ready to tackle a coding challenge during the interview.
✨Demonstrate Analytical Problem-Solving
Prepare to share specific examples from your past work or PhD that showcase your analytical problem-solving abilities. Think about challenges you faced, how you approached them, and what the outcomes were—this will highlight your independent thinking.
✨Understand the ALM Environment
Familiarise yourself with Asset Liability Management (ALM) concepts and the investment landscape. Even if you’re not an expert in derivative products, showing a genuine interest and willingness to learn can set you apart as a candidate who’s eager to grow within the team.