Pricing Analyst - General Insurance - Multiple
at Opus People SolutionsAbout the job
Pricing Analyst - General Insurance | Multiple Opportunities
Salary: Competitive + Bonus
Hybrid
Are you a Pricing Analyst with a General Insurance (GI) background looking to take the next step in your career? A leading insurance provider is expanding its pricing team and is seeking talented analysts with experience in motor, home, pet, or other personal/commercial lines.
Key Responsibilities:
- Develop and enhance pricing models using statistical techniques.
Work with large datasets to drive data-driven decision-making.
Utilise tools like Python, R, SQL, and machine learning (desirable).
Collaborate with underwriters, actuaries, and data scientists to refine pricing strategies.
Monitor and optimise pricing performance in a competitive market.
What We 're Looking For:
- Experience in general insurance pricing (motor, home, travel, pet, or commercial lines).
Strong analytical and problem-solving skills with a mathematical mindset.
Technical expertise in Python, R, SQL, or Emblem (desirable but not essential).
Understanding of statistical modelling techniques such as GLMs, machine learning, or predictive analytics. - 2:1 or above in a mathematics, statistics, actuarial science, or related field.
Why Apply?
Work in a dynamic and growing pricing team.
Exposure to cutting-edge pricing techniques and machine learning.
Hybrid working - roles based in South London with flexible homeworking
Opportunities for career progression and professional development.
Apply now or reach out for a confidential chat!
Job Types: Full-time, Permanent, Fixed term contract
Contract length: 6 months
Pay: £45,000.00-£65,000.00 per year
Additional pay:
- Performance bonus
- Yearly bonus
Benefits:
- Company pension
- Free parking
- Life insurance
- On-site parking
- Private medical insurance
- Work from home
Schedule:
- Monday to Friday
Work Location: Hybrid remote in Crawley RH10 1BJ
Opus People Solutions
Classification:
Details and stages
Reporting to: details unknown
the hiring process information will appear here if available.
Job ref blurredText
Posted on blurredText
Last checked on blurredText
Closing on blurredText
Total attempts: 22 Unique: 10 Passed: 6
Discuss this job
Share your intel on this vacancy and help others - anonymously
pretend that this is a blurredText long comment