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Motor Insurance Pricing Consultant
2 months ago
Senior Pricing Analyst – Motor Insurance – Innovative Insurtech Firm
£70,000 - £85,000 + Benefits
We are seeking a seasoned Motor Pricing Analyst with a strong background in machine learning, data analytics, and a solid understanding of actuarial concepts. This role is pivotal in joining a forward-thinking Insurtech organization, where you will influence strategic initiatives through data-driven insights. Proficiency in Python, SQL, and ideally some familiarity with R is essential.
This company stands out in the Insurtech sector, boasting remarkable growth with over 200% revenue increase year-on-year and annual Gross Written Premium exceeding £50M. It is an exhilarating opportunity for a Pricing Analyst to contribute significantly as the company continues to enhance its market presence.
Key Responsibilities:
- Construct pricing models utilizing machine learning and statistical methodologies for motor and property & casualty insurance.
- Incorporate actuarial techniques into pricing frameworks.
- Examine and process extensive datasets to uncover trends and optimization prospects.
- Collaborate with product development, underwriting, risk management, and other departments to create integrated pricing strategies.
- Remain updated on industry advancements in data science and machine learning.
- Deliver insights and recommendations to upper management.
- Support new product initiatives with expert pricing evaluations.
- Ensure adherence to regulatory standards.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Actuarial Science, Mathematics, or a related discipline.
- Experience in motor and/or property & casualty pricing analysis within the insurance industry.
- Expertise in machine learning methodologies and tools (Python, R, SQL).
- Understanding of actuarial principles, particularly in motor and property & casualty insurance.
- Strong analytical, problem-solving, and communication abilities.
Work Arrangement:
This position is based in London, offering flexible hybrid working arrangements. Candidates from various locations are welcome, provided they are willing to travel to the office as needed. The company supports travel expenses, including train tickets and overnight accommodations for those who may need to stay over.
Join us in shaping the future of insurance with your expertise in modeling, machine learning, and technical skills in Python.