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- Tasks: Design and maintain software for a cutting-edge modelling platform in insurance.
- 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, and proficiency with SQL and Julia. This hands-on role offers an impactful opportunity within a fast-paced environment.
Senior Quantitative Software Engineer - Modelling Platform 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and actuarial fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL and Julia skills, and be ready to discuss how you've tackled complex modelling challenges in the past. We want to see your problem-solving prowess in action!
✨Tip Number 3
Showcase your projects! If you've worked on any analytics platforms or high-performance solutions, make sure to highlight them in conversations. We love seeing real-world applications of your skills.
✨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 our team and contributing to our innovative modelling ecosystem.
We think you need these skills to ace Senior Quantitative Software Engineer - Modelling Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative fields and any relevant projects you've worked on. We want to see how your skills align with our needs, especially in insurance and software development.
Showcase Your Skills: Don’t forget to mention your proficiency in SQL and Julia! We’re looking for candidates who can hit the ground running, so make these skills pop in your application.
Highlight Collaboration Experience: Since this role involves working closely with actuarial and risk teams, share examples of how you’ve successfully collaborated in the past. We love seeing teamwork in action!
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 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 projects and how you contributed to achieving common goals.
✨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 enhance or contribute to their existing solutions based on your past experiences.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will demonstrate your analytical skills and ability to think on your feet in a fast-paced environment.
