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The Data Engineer (Quantitative Trading) will be responsible for building and optimizing data pipelines and systems that support high-frequency trading strategies. This role in the retail industry requires technical expertise in data engineering and a deep understanding of technology-driven solutions.
The VP of Credit Admin & Control (Team Lead) will oversee credit administration, expertise in retail credit operations and ensure adherence to regulatory standards within the financial services industry. This role is ideal for a detail-oriented professional with expertise in banking operations and credit management.
The Head of IT will oversee the technology infrastructure for a professional services organization, ensuring systems are optimized for efficiency and security. This role requires strategic thinking and the ability to lead and implement innovative IT solutions.
This role is designed for a Senior Project Manager to lead and oversee technology-focused projects within the Energy & Natural Resources industry. Based in Kuala Lumpur, the position requires exceptional project management skills to drive successful outcomes.
The Chief Technology Officer (CTO) will define and execute the end‑to‑end technology strategy for one of the leading fintech companies, overseeing the delivery of secure, scalable, and high‑availability payment and digital platforms. The role leads engineering, platform architecture, and technology governance while partnering closely with the executive team to enable growth, innovation, and regulatory compliance.
The Data Operations Lead API & Warehouse Integration will oversee and streamline API and warehouse integration processes within the financial services industry. This role requires strong technical expertise to enhance operational efficiency and ensure seamless technology solutions in a fast-paced environment.
The AVP, Data Management Ops (Team Lead) will oversee and manage data management operations within the Technology department in the financial services industry. This role is based in KL and requires strong leadership and technical skills to ensure the smooth execution of data-related processes.
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