At a Glance
- Tasks: Analyse complex datasets and improve pricing tools in a dynamic team.
- Company: Join a high-performing commercial lines team in General Insurance.
- Benefits: Competitive salary, hybrid work, and opportunities for career progression.
- Other info: Collaborative environment with exposure to various insurance functions.
- Why this job: Make an impact in pricing while developing your technical skills.
- Qualifications: Strong numerical skills and experience with Excel, SQL, R, or Python.
The predicted salary is between 50000 - 60000 £ per year.
Salary: £50,000-£60,000
Location: West Midlands (Hybrid)
I'm looking to speak with analytical professionals interested in building a career in General Insurance pricing, working across various products in a high performing commercial lines team. You'll analyse complex datasets, improve pricing tools, monitor portfolio performance and support the development of modern pricing systems. The role offers exposure to Underwriting, Claims, Finance and Reserving, alongside opportunities to develop your technical skills and progress your career.
Candidate requirements:
- Strong numerical and analytical ability
- Excellent attention to detail and problem-solving skills
- Confident communicator and collaborative team player
- Experience with Excel, SQL, R, Python or Power BI is advantageous
- General Insurance or actuarial experience preferred
- Progress towards actuarial exams, or an interest in pursuing them, would be beneficial
Senior Pricing Analyst (Commercial Lines) employer: The Actuary
At PMA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead impactful projects in the heart of the UK life insurance sector. With locations in London, Bristol, and Watford, we provide a vibrant environment where actuaries can thrive and make meaningful contributions to our clients' success.
