Product Modeler

MetLif

Kuala Lumpur

Hybrid

MYR 78,000 - 134,000

Full time

14 days+

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Job summary

MetLife is seeking a Modeler (Product Modeler) to translate insurance product requirements into tested product models using ProductXpress. You will collaborate with product pricing and actuarial teams and support regional/global forums for process improvements.

The role calls for strong analytical skills, familiarity with VBA/SQL, and a proactive approach to learning AI-assisted tools to enhance productivity.

Qualifications

  • Bachelor’s degree in Actuarial Science, Mathematics, or Computer Science.
  • Fresh graduates with internships or up to 1 year experience encouraged to apply.
  • Familiarity with insurance products and Agile methods (Scrum/Kanban) is preferred.
  • Strong analytical ability to translate requirements into detailed models.

Responsibilities

  • Analyze and clarify insurance product requirements with pricing and actuarial teams.
  • Design, develop, and test product models using ProductXpress or equivalent tools.
  • Conduct unit testing of product calculations and validation rules with the pricing/actuarial team.
  • Execute testing using Excel and VBA-based automation.
  • Prepare project documentation and status reports; support governance standards.

Skills

Analytical skills
English communication
Adaptability
Fresh graduate readiness

Education

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

Tools

ProductXpress
Excel
VBA
SQL
PowerQuery
Python

Job description

Working Schedule

Full-Time

Work Arrangement

Hybrid

Relocation Assistance Available

No

Posted Date

09-Oct-2026

Job ID

20942

Description and Requirements
Role Description

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.

Key Responsibilities
  • 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.
Candidate Qualifications
  • 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).

About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible .Join us!

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