Actuarial Modeller

4 weeks ago


London, Greater London, United Kingdom Zego Full time

We're looking for a skilled Actuarial Modeller to join our team at Zego. As a key member of our pricing team, you'll be responsible for building and refining complex risk, demand, and market models using advanced statistical techniques and actuarial methods.

Key Responsibilities
  1. Develop and validate risk, demand, and market models using GLMs and other machine learning algorithms
  2. Integrate telematics and other novel data sources to enhance pricing sophistication
  3. Collaborate with the technical pricing, street pricing, and product teams to implement pricing changes and ensure alignment with business objectives
  4. Ensure robust model validation, back-testing, and continuous model improvement
  5. Communicate complex data concepts and model outcomes to technical and non-technical stakeholders through clear data storytelling
Requirements
  1. Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science or related field
  2. Experience: Proven experience in UK non-life insurance technical pricing and modelling, with a strong focus on model development
  3. Technical Skills:
    1. Pricing Tooling: In-depth knowledge of GLMs and other machine learning algorithms
    2. SQL: Some knowledge of SQL, particularly with cloud data warehouses like Snowflake
  4. Software Engineering: Some experience with version control systems (e.g., git)
  5. Soft Skills:
    1. Excellent communication skills, with an ability to translate complex model results into actionable business insights
    2. Proven project management skills with the ability to manage multiple priorities
Nice to Have
  1. Strong Python programming skills, familiarity with data science libraries such as pandas and scikit-learn
  2. Experience with cloud-based environments (e.g. AWS)
  3. Telematics Data: Familiarity with telematics data and its integration into pricing models
  4. Experience in UK motor insurance

We offer a flexible working environment, with a mix of collaborative face time and flexible home-working. We're an equal opportunity employer and value diversity at our company.


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