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- Tasks: Design and maintain software for a cutting-edge actuarial modelling platform.
- Company: Global specialty insurance firm with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a fast-paced team and make a real impact in the insurance industry.
- Qualifications: Degree in a quantitative field and experience in insurance required.
- Other info: Collaborative role with strong focus on analytics and performance solutions.
The predicted salary is between 48000 - 72000 £ per year.
A global specialty insurance firm is seeking a Senior Actuarial Modelling Engineer in London to design and maintain software for its proprietary modelling ecosystem. The role demands strong collaboration across actuarial and risk teams, focusing on developing robust analytics platforms and high-performance solutions.
Candidates should have:
- A degree in a quantitative field
- Extensive experience in insurance
- Proficiency with SQL and Julia
This hands-on role offers an impactful opportunity within a fast-paced environment.
Senior Quantitative Software Engineer - Modelling Platform in London employer: Spencer Rose Ltd
Contact Detail:
Spencer Rose Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Software Engineer - Modelling Platform in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and actuarial fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source software, make sure to highlight them. This is your chance to demonstrate your expertise in SQL and Julia, so don’t hold back!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've collaborated with actuarial and risk teams in the past. We want to see how you can contribute to our modelling ecosystem.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Quantitative Software Engineer - Modelling Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative fields and any relevant software development skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your SQL and Julia expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about actuarial modelling and how your previous experiences have prepared you for this role. We love seeing genuine enthusiasm and a clear understanding of our needs.
Showcase Collaboration Skills: Since this role involves working closely with actuarial and risk teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you can contribute to our collaborative culture!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Spencer Rose Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Julia skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working closely with actuarial and risk teams, prepare examples that highlight your teamwork experience. Think of situations where you successfully collaborated on a project and how it led to better outcomes.
✨Understand the Modelling Ecosystem
Familiarise yourself with the company's proprietary modelling ecosystem. Research their current analytics platforms and be prepared to discuss how you can contribute to enhancing them or developing new features.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or case studies related to actuarial modelling, and be ready to explain your thought process clearly and logically.
