At a Glance
- Tasks: Develop and enhance quantitative models for the ALM team using advanced programming languages.
- Company: Join a leading recruitment firm working with a prominent Specialist UK Insurer.
- Benefits: Gain valuable exposure to investment strategies and enhance your quantitative skills.
- Why this job: Make an impact in finance while honing your problem-solving abilities.
- Qualifications: Strong quantitative skills and proficiency in Python, Matlab, or R required.
- Other info: Ideal for those with a PhD or relevant work experience; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment firm is seeking a Quant Strategist for a prominent Specialist UK Insurer. The role involves developing and enhancing quantitative models for the ALM team, requiring strong quantitative skills and proficiency in languages like Python, Matlab, or R.
Candidates should possess problem-solving abilities demonstrated through work experience or a PhD. This position offers valuable exposure to the investment team, but please note: the firm cannot provide visa sponsorship at this time.
Quant Strategist – Front Office Investment & ALM (UK) employer: Clarence George
Contact Detail:
Clarence George Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Strategist – Front Office Investment & ALM (UK)
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and ALM space on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative models or projects you've worked on using Python, Matlab, or R. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your problem-solving skills with real-world case studies or challenges related to ALM. This will not only boost your confidence but also impress potential employers.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining the team and helps us keep track of your application.
We think you need these skills to ace Quant Strategist – Front Office Investment & ALM (UK)
Some tips for your application 🫡
Show Off Your Quant Skills: Make sure to highlight your quantitative skills in your application. Whether it's through your work experience or your PhD, we want to see how you've tackled complex problems using languages like Python, Matlab, or R.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate directly to the ALM team and investment strategies.
Be Clear and Concise: When writing your application, clarity is key. We appreciate well-structured documents that get straight to the point. Avoid jargon unless it’s relevant, and make sure your passion for quantitative analysis shines through!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Clarence George
✨Know Your Quantitative Models
Make sure you brush up on the quantitative models relevant to Asset Liability Management (ALM). Be ready to discuss your experience with these models and how you've applied them in real-world scenarios. This will show your potential employer that you have the expertise they’re looking for.
✨Showcase Your Programming Skills
Since proficiency in Python, Matlab, or R is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any projects where you’ve used these languages to develop models or analyses.
✨Problem-Solving Examples
Be ready to share specific examples of how you've tackled complex problems in your previous roles or during your PhD. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewers to follow your thought process.
✨Understand the Investment Landscape
Familiarise yourself with the current trends in the investment sector, especially those affecting insurers. Being able to discuss recent developments or challenges in the industry will demonstrate your genuine interest and help you stand out as a candidate who is not just technically skilled but also well-informed.