Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to create pricing models and improve best practices in the insurance sector.
- Company: We are a leading tech and consulting firm focused on the insurance industry.
- Benefits: Enjoy a hybrid work environment with a competitive salary of £90,000 per annum.
- Why this job: Be part of a dynamic team driving innovation in insurance solutions and making a real impact.
- Qualifications: Must have 2+ years of experience in predictive modelling and strong Python skills.
- Other info: Opportunity to collaborate with cross-functional teams and stay updated with industry trends.
The predicted salary is between 72000 - 108000 £ per year.
My client is a leading technology and consulting firm focused on the insurance industry, especially in the Property & Casualty (P&C) sector. They are seeking a detail-oriented and analytical Actuarial Analyst to join their Insurance Solutions team to create pricing models, work directly with customers and technology teams, improve pricing best practices and drive technical solutions.
Location: London/Hybrid
Employment Type: Permanent (£90,000 p/a)
Key Responsibilities:
- Assist in developing and maintaining actuarial models for pricing, reserving, and forecasting.
- Perform data analysis and manipulation using actuarial software and tools (e.g., Excel, SQL, R, Python).
- Support client projects involving risk modeling, product development, and portfolio analysis.
- Collaborate with cross-functional teams including underwriters, data scientists, and software developers.
- Interpret insurance data and trends to support strategic decision-making.
- Prepare reports, presentations, and documentation for internal stakeholders and client delivery.
- Stay updated with regulatory changes, market trends, and actuarial best practices.
Required Skills & Experience:
- Production grade Python experience
- 2+ years of predictive modelling and advanced analytics methods experience
- Experience of insurance/reinsurance pricing techniques
- Experience in developing models in Python
- Experience in customer facing roles
Technical Business Analyst - London Insurance employer: Hanson Lee Resourcing Ltd
Contact Detail:
Hanson Lee Resourcing Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Business Analyst - London Insurance
✨Tip Number 1
Familiarise yourself with the latest trends in the Property & Casualty insurance sector. Understanding current market dynamics and regulatory changes will not only help you in interviews but also demonstrate your genuine interest in the industry.
✨Tip Number 2
Network with professionals in the insurance and actuarial fields. Attend industry events, webinars, or local meetups to connect with potential colleagues and learn more about the company culture at firms like ours.
✨Tip Number 3
Brush up on your technical skills, especially in Python and SQL. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to develop actuarial models and perform data analysis.
✨Tip Number 4
Prepare to discuss your experience in customer-facing roles. Be ready to share specific examples of how you've collaborated with cross-functional teams and contributed to successful project outcomes, as this is crucial for the role.
We think you need these skills to ace Technical Business Analyst - London Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in actuarial analysis, data manipulation, and the use of tools like Python and SQL. Emphasise any previous roles that involved customer interaction or cross-functional collaboration.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your analytical skills and familiarity with the insurance industry, particularly in pricing models.
Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and any other relevant software. Provide examples of how you've used these skills in past roles to solve problems or improve processes.
Prepare for Interviews: Anticipate questions related to your experience with actuarial models and data analysis. Be ready to discuss specific projects where you contributed to pricing strategies or collaborated with different teams.
How to prepare for a job interview at Hanson Lee Resourcing Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and any actuarial software during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand the Insurance Industry
Familiarise yourself with the Property & Casualty sector and current trends in insurance. Being able to discuss recent developments or regulatory changes will show your genuine interest in the industry and your ability to contribute to strategic decision-making.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and analytical thinking. Prepare examples of how you've tackled complex data analysis or developed pricing models in previous roles, as this will illustrate your practical experience and analytical mindset.
✨Emphasise Collaboration Skills
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with underwriters, data scientists, and software developers. Highlight specific instances where teamwork led to successful project outcomes, showcasing your ability to communicate effectively across disciplines.
