We are looking for an experienced Pricing Lead to drive pricing strategy, model development, and portfolio profitability within the General Insurance business.

The role involves managing pricing for government business and tenders, evaluating market and portfolio performance, and collaborating with actuarial, underwriting, reserving, and product teams.

The ideal candidate should have strong actuarial knowledge, analytical capabilities, and experience in developing data-driven pricing solutions.

Responsibilities:

- Lead the development, implementation, and continuous improvement of pricing strategies, policies, and models for General Insurance products.

- Manage pricing for government business, including tender evaluation, pricing proposals, and profitability assessments.

- Analyse market trends, competitor pricing, claims experience, and portfolio performance to identify pricing opportunities and risks.

- Collaborate with reserving, underwriting, and product development teams to align pricing strategies with business objectives and risk appetite.

- Work with data science teams to develop granular and dynamic pricing models using advanced analytics and spatiotemporal data.

- Monitor pricing adequacy, portfolio profitability, and underwriting performance, recommending corrective actions where required.

- Ensure compliance with applicable regulatory requirements and internal risk management frameworks.

- Lead, mentor, and develop the pricing team.

- Explore and leverage emerging technologies, including Generative AI and Microsoft Power Platform, to automate and improve pricing processes.

Requirements:

- 5 - 8 years of experience in General Insurance pricing, actuarial analytics, or portfolio management, with leadership or team management experience.

- Strong understanding of actuarial principles, pricing methodologies, underwriting, and insurance risk management.

- Experience in developing pricing models, conducting portfolio analysis, and managing government business or tender pricing.

- Proficiency in VBA, SQL, and Python for data analysis, modelling, and automation.

- Experience working with large datasets and developing data-driven pricing solutions; exposure to spatiotemporal analytics is an advantage.

- Understanding of insurance regulations and pricing governance requirements.

- Familiarity with Generative AI tools and Microsoft Power Platform is preferred.

- Strong analytical, problem-solving, stakeholder management, and communication skills