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- Tasks: Develop an analytics platform and collaborate with actuarial teams on impactful projects.
- Company: Global specialty insurance company based in London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a collaborative team and work on high-impact analytical projects.
- Qualifications: Degree in a quantitative discipline and experience in data-intensive environments.
- Other info: Ideal for those passionate about analytics and looking to make a difference.
The predicted salary is between 43200 - 72000 £ per year.
A global specialty insurance company is looking for an Analytics Platform Engineer in London. The role involves developing an analytics platform with a focus on back-end calculations and collaboration with actuarial teams.
Candidates should have a degree in a quantitative discipline and at least 3 years' experience in data-intensive environments. Familiarity with SQL and programming in languages like Julia, Python, or R is essential.
Join a collaborative team and engage with high-impact analytical projects.
Actuarial Analytics Platform Engineer – Modelling Tools employer: Spencer Rose Ltd
Contact Detail:
Spencer Rose Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Actuarial Analytics Platform Engineer – Modelling Tools
✨Tip Number 1
Network like a pro! Reach out to professionals in the actuarial and analytics fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for the industry.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with SQL, Python, or R. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common actuarial and analytics questions. Practice explaining complex concepts in simple terms, as collaboration is key in this role. We want to see how well you can communicate your ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Actuarial Analytics Platform Engineer – Modelling Tools
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and any programming languages like Julia, Python, or R. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in data-intensive environments and how it relates to developing analytics platforms. It helps us see you as a perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Spencer Rose Ltd
✨Know Your Tech Stack
Make sure you brush up on your SQL skills and the programming languages mentioned in the job description, like Julia, Python, or R. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and understanding of back-end calculations.
✨Understand Actuarial Concepts
Since you'll be collaborating with actuarial teams, it's crucial to have a solid grasp of key actuarial concepts. Familiarise yourself with common modelling tools and techniques used in the industry. This knowledge will help you communicate effectively and demonstrate your commitment to the role.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process when tackling complex data problems. Use examples from your past experience to illustrate how you approached challenges and what solutions you implemented.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve project goals, highlighting your communication skills and ability to adapt to different team dynamics.
