Senior Insurance Tech BA — AI/ML & Payments Innovation

AIA; Kuala Lumpur; Presencial; MYR 120 000 - 180 000; Tempo integral

Resumo da oferta

AIA Digital+ in Kuala Lumpur is seeking a results-driven Business Analyst to bridge business strategy, product innovation, and technology within the insurance technology space.

The ideal candidate will combine deep domain knowledge in insurance operations, hands-on experience with payment systems, and practical understanding of AI/ML applications to deliver scalable solutions. Strong collaboration with business users, engineering, and external partners is required.

Qualificações

• Bachelor's degree or higher in a technical or related field.
• 5+ years of experience as a Business Analyst or Product Analyst in insurance preferred.
• Experience with payment systems (premium processing, auto-debit, refunds, gateways).
• Hands-on involvement in AI/ML projects – scoping, use-case definition, model evaluation.

Responsabilidades

• Lead end-to-end business analysis for insurance technology initiatives, focusing on core workflows (underwriting, policy administration, claims, renewal, cancellation).
• Collaborate with business users, engineering, operations, and external partners to translate needs into clear requirements.
• Drive integration and implementation of AI/ML solutions in insurance operations.
• Define KPIs and monitor metrics to support data-driven decisions and process optimization.
• Support UAT, testing, go-live coordination, and post-launch evaluation.

Conhecimentos

Business Analysis

Stakeholder Management

Agile / Scrum

Data-driven decision making

Analytical thinking

Formação académica

Bachelor's degree in CS/IS/Finance/Actuarial

Ferramentas

Jira

Confluence

Descrição da oferta de emprego

AIA Digital+ in Kuala Lumpur is seeking a results-driven Business Analyst to bridge business strategy, product innovation, and technology within the insurance technology space.

The ideal candidate will combine deep domain knowledge in insurance operations, hands-on experience with payment systems, and practical understanding of AI/ML applications to deliver scalable solutions. Strong collaboration with business users, engineering, and external partners is required.