- Kuala Lumpur, Kuala Lumpur Kuala Lumpur WP Kuala Lumpur Malaysia
Working Location
Job Description
Responsibilities
About the Company
Our client is a premier Tier-1 financial institution in Malaysia, combining traditional financial strength with modern tech-first operational agility. They are actively adopting lean, startup-style execution models to drive cutting-edge innovation across their digital and data ecosystems.
About the Job
As the Head of Solution Engineering (R&D), you will champion a hybrid leadership model—combining high-level architectural design with active, hands-on software and AI delivery. Moving beyond traditional "hands-off" management, you will spearhead R&D initiatives, design enterprise-grade data architectures, and jump directly into the codebase to guide production-ready deployment.
About the Team
You will lead and collaborate with a lean, high-performing group of software engineers, data engineers, project managers, and business analysts. The culture reflects the speed and responsiveness of a high-growth startup, backed by the stability and resources of a market-leading enterprise.
The Hook
Are you a deeply hands-on tech leader who still loves to code while shaping the future of Data & AI in financial services? Join a Tier-1 financial institution in Kuala Lumpur where startup agility meets enterprise scale—full employment visa support provided for global talent.
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related quantitative field.
Qualifications
10+ Years of Engineering Experience: Proven track record of designing, building, and delivering robust software architectures alongside integrated AI/ML solutions.
Active Tech Leadership: Currently hands-on in coding, architecture design, and direct technical execution.
Track Record in Agility: Demonstrated success in small, high-growth startup environments or modernized agile corporate teams.
Bonus: Formal managerial or team leadership experience in a fast-paced tech environment.
Key Skills Required
Advanced programming and software engineering capabilities (production-grade code execution).
Enterprise solution architecture with a focus on scalable Data & AI integration.
Strong communication skills to translate complex tech concepts across C-suite executives, project managers, and engineering teams.
An entrepreneurial mindset focused on driving operational efficiency and guiding high-performance engineering talent.
Important Information
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