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.
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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.
