As a Pricing Modeller, you will play a key role in designing, building, and maintaining pricing models to support Chubb’s Commercial Insurance portfolio. You will collaborate closely with pricing actuaries, underwriters, analytics, and data teams to ensure pricing models are robust, scalable, and aligned with business needs. This is a hands-on role with a strong focus on technical modelling, requiring clear communication and collaboration across multiple stakeholders.

Key Responsibilities:

Build risk models across products covering Property, Casualty, and Financial Lines amongst others.Develop pricing tools to support scalable growth in the small commercial market.Maintain and enhance existing pricing models, ensuring they remain aligned with business strategy and market trends.Recalibrate current models to reflect current experience and assumptions.Continuously research and evaluate new data sources (both internal and third-party) and integrate them into models to enhance predictive power and improve pricing accuracy.Collaborate with the wider pricing team globally to share best practices in pricing modeling.Support pricing modernization initiatives, including building and migrating raters in Radar.Standardize modeling processes to ensure scalability and efficiency across product lines.

Knowledge & Experience:

Solutions-focused, proactive, and accountable, with a strong sense of ownership.Fluent in English, with excellent written and verbal communication skills.Minimum 5 years’ experience in Property, Casualty, Financial Lines, Marine, or similar insurance domains.Advanced coding and software skills, including proficiency in SQL and Python; experience with WTW (Radar) is highly desirable.Demonstrated ability to independently build and review predictive models.Strong attention to detail, with the ability to manage multiple tasks and stakeholders in a fast-paced environment.Effective interpersonal skills, with a collaborative approach and adaptability to change.Proven track record of meeting deadlines and managing competing priorities.