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- Tasks: Develop and enhance quantitative models for investment strategies.
- Company: Leading Specialist UK Insurer with a dynamic team culture.
- Benefits: Competitive salary, collaborative environment, and career growth opportunities.
- Why this job: Join a fast-paced team and make a real impact in the investment world.
- Qualifications: Strong quantitative skills and coding experience in Python, Matlab, or R.
- Other info: Great exposure to ALM and investment teams with innovative problem-solving.
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 etc 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.
Specialist UK Insurer - Quant Strategist in London employer: Clarence George
Contact Detail:
Clarence George Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Specialist UK Insurer - Quant Strategist in London
✨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 open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your quantitative models and coding projects. This is your chance to demonstrate your problem-solving abilities and technical expertise in Python, Matlab, or R.
✨Tip Number 3
Practice makes perfect! Brush up on your analytical problem-solving skills with real-world scenarios. Use online resources or mock interviews to get comfortable discussing your thought process and solutions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team and ready to dive into the exciting world of investment.
We think you need these skills to ace Specialist UK Insurer - Quant Strategist in London
Some tips for your application 🫡
Show Off Your Quant Skills: Make sure to highlight your strong quantitative skills in your application. We want to see how you've built or developed models from scratch, so don’t hold back on sharing specific examples!
Code Like a Pro: If you’ve got experience coding in Python, Matlab, R, or any other advanced language, let us know! Include details about projects where you’ve used these skills to solve complex problems.
Problem Solver Extraordinaire: We love a good problem solver! Share instances from your past work or PhD where you tackled challenges independently. This will show us you’re the innovative thinker we’re looking for.
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 in our dynamic team.
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 coding projects in Python, Matlab, or R. Bring examples of your work that demonstrate your ability to build models from scratch and tackle complex problems.
✨Understand the ALM Landscape
Familiarise yourself with Asset Liability Management (ALM) concepts and how they relate to investment strategies. This will show your genuine interest in the role and help you engage in meaningful discussions during the interview.
✨Be Ready for Fast-Paced Questions
Given the dynamic nature of the team, expect questions that assess your ability to think on your feet. Practice responding to hypothetical scenarios or case studies that require quick analytical thinking and problem-solving.
