At a Glance
- Tasks: Join a dynamic team to develop and enhance a leading insurance analytics platform using Python.
- Company: A top-tier analytics and consulting firm at the forefront of insurance technology.
- Benefits: Enjoy a competitive salary, bonus, hybrid work, and comprehensive benefits.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Make a real impact in the insurance industry while working with cutting-edge technology.
- Qualifications: Strong Python development skills and experience with large datasets are essential.
The predicted salary is between 75000 - 75000 € per year.
We’re partnering with a highly regarded analytics and consulting business that sits at the intersection of insurance, data, and technology.
They are looking for a Python Developer to join a growing engineering team working on a market-leading SaaS analytics platform used by major non-life insurance organisations to assess and model large-scale insurance portfolios.
As a Python Developer, you’ll join a collaborative product engineering team responsible for the ongoing development of a large-scale insurance analytics platform. You’ll play a key role in designing and delivering new features, improving system performance, and helping drive better integration across backend services.
- Develop and enhance backend platform features using Python
- Improve performance across complex analytics and data-processing workflows
- Support technical best practice across testing, code quality, CI/CD, and engineering standards
- Research and prototype new approaches to improve platform capability and engineering efficiency
Requirements:
- Strong commercial Python development experience
- Experience building and maintaining production-grade software
- Exposure to large datasets and performance-critical applications
- Strong understanding of software engineering best practices including testing, CI/CD, version control, and object-oriented design
- Experience with Azure cloud services, ideally including Functions, Batch, Storage services, and Cosmos DB
- Experience within insurance, actuarial analytics, or regulated financial services
- Exposure to data-heavy analytical or modelling environments
Python Developer - Insurance Analytics in City of London employer: Arthur Recruitment
Join a leading analytics and consulting firm in London that values innovation and collaboration, offering a dynamic work culture where your contributions as a Python Developer will directly impact the insurance industry. With competitive salaries, bonuses, and a comprehensive benefits package, this role provides ample opportunities for professional growth and development within a supportive team environment. Embrace the chance to work on cutting-edge technology while enjoying the flexibility of a hybrid working model.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer - Insurance Analytics in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow developers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those related to Python and analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. Be ready to discuss how your experience with Azure and CI/CD tools can benefit their analytics platform.
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Python Developer - Insurance Analytics in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Python Developer role. Highlight your experience with Python, Azure, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include any personal or professional projects that demonstrate your Python development skills, especially those related to analytics or insurance. This gives us a glimpse of your hands-on experience and creativity.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this role and how you can contribute to our team. Be genuine and let your personality shine through – we love to see enthusiasm!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python development, especially in relation to large datasets and performance-critical applications. Practise coding challenges that focus on algorithms and data structures, as they might ask you to solve problems on the spot.
✨Familiarise Yourself with Azure Services
Since the role involves working with Azure cloud services, it’s crucial to understand how Azure Functions, Blob Storage, and Cosmos DB work. Prepare to discuss any projects where you've used these services, and think about how you can leverage them to improve system performance in the analytics platform.
✨Showcase Your Collaborative Spirit
This position is all about teamwork, so be ready to talk about your experiences working in collaborative environments. Share examples of how you've contributed to a team, tackled challenges together, and supported best practices in testing and CI/CD. Highlighting your ability to work well with others will set you apart.
✨Prepare Questions About the Company and Role
Interviews are a two-way street, so come prepared with insightful questions about the company’s analytics platform and their approach to insurance analytics. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Ask about their current challenges and how you can contribute to solving them.
