The Modeler (Product Modeler) is responsible for analyzing insurance product requirements and translating them into well-designed, tested product models using industry tools such as ProductXpress. This role provides support for product modelling matters that arise during project delivery or in production, and requires close collaboration with vendors and global stakeholders, including a degree of flexibility in working hours to meet program delivery timelines.

• Analyze and clarify insurance product requirements, including specifications, calculations, and business rules, in partnership with the product pricing and actuarial teams.

• Design, develop, and test new product models and enhancements using ProductXpress or equivalent product modelling tools.

• Conduct unit testing of product calculations and validation rules, collaborating with the product pricing/actuarial team to resolve any discrepancies.

• Execute testing using Excel and VBA-based test automation.

• Prepare and maintain project documentation, including artefacts and status reports.

• Contribute to regional and global forums for the review and continuous improvement of processes, guidelines, and governance standards under the Global PC CoE Shared Service framework.

• Support the maintenance of Product Modelling Guidelines and Taxonomy.

• Develop a solid understanding of insurance products, including their composition and the specifications and calculations defined by the Product Development and Product Actuaries teams; adhere to the organization's PDLC methodology and uphold high standards of stakeholder satisfaction across business, technology, and operations partners.

• Bachelor’s degree in Actuarial Science, Mathematics, or Computer Science.

• Fresh graduates with equivalent internships or up to 1-year relevant work experience are encouraged to apply.

• Basic knowledge of or exposure to the insurance domain (e.g., life, health, or general insurance products) is preferred.

• Prior exposure to Agile project delivery methodologies (e.g., Scrum, Kanban) is preferred.

• Strong analytical skills, with the ability to evaluate information from multiple sources, reconcile conflicting requirements, and translate high-level concepts into actionable detail.

• Excellent verbal and written communication skills in English.

• Working knowledge of computer programming (e.g., VBA, SQL, or similar) to support test automation and product model development.

• Foundational understanding of AI concepts and familiarity with AI-assisted tools (e.g., GitHub Copilot, ChatGPT, or similar generative AI applications) to enhance productivity and support continuous learning.

• ProductXpress or related product modelling software tools.

• Excel with minimum intermediate level and experience in developing models using Excel functions, VBA and PowerQuery.

• Working knowledge of Python is an advantage.

• AI Tools: familiarity with GenAI and AI-assisted development tools (e.g., GitHub Copilot, ChatGPT or Anthropic Claude).