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