Lead, IT Operations

About the role

Maybank Securities (Thailand) is looking for an experienced and hands-on Lead, IT Operations to take full ownership of our Back Office systems and the team that supports them. This is a high-impact role for a leader who can keep critical operations stable, respond decisively when issues arise, and build trusted relationships across business teams, technology partners, and vendors. You will lead the full operational lifecycle—from system implementation and enhancement through day-to-day production support—and be accountable for the stability, accuracy, security, and timely processing of applications supporting post-trade processing, settlement, custody, and client account servicing. Success in this role requires strong judgement, clear communication tailored to different stakeholders, and the ability to prioritize work based on business impact, risk, and value.

Key responsibilities

• Lead and develop the IT Operations support team, setting clear accountabilities, allocating work effectively, and following through on commitments and outcomes.
• Take end-to-end ownership of the day-to-day operation of Back Office core systems and related applications covering post-trade processing, settlement, clearing, custody, and client account maintenance.
• Prioritize operational work, incidents, changes, and improvements according to business impact, risk, urgency, and value.
• Oversee daily processing cycles, including start-of-day and end-of-day runs, batch jobs, and reconciliation, ensuring they complete accurately and on schedule.
• Provide reliable support to business users in Operations, Settlement, and Finance by troubleshooting application issues, restoring services promptly, and coordinating data correction where required.
• Lead crisis, incident, and problem management for Back Office systems, coordinating effective response and recovery, communicating clearly to stakeholders, and ensuring root causes and preventive actions are addressed.
• Plan and manage changes to Back Office systems, balancing operational stability with regulatory, business, and technology priorities.
• Build strong working relationships with internal stakeholders, vendors, and service providers; manage expectations, resolve issues constructively, and hold partners accountable for agreed outcomes and service levels.
• Support regulatory and business reporting requirements by ensuring Back Office data is complete, accurate, and delivered on time.
• Maintain and test business continuity and disaster recovery arrangements for Back Office systems, and actively participate in crisis simulations and disaster recovery exercises.

Qualifications

• Bachelor's degree or higher in Computer Engineering, Computer Science, Information Technology, Information Systems, or a related field.
• At least 8 years of relevant experience, including a strong track record of leading teams and managing business-critical production systems.
• Proven expertise in operating brokerage or securities Back Office systems is required, preferably including Smart SBA, Smart Cust, and Smart UT, with responsibility for post-trade processing, settlement, custody, and client account servicing.
• Demonstrated ownership and accountability, with the judgement and persistence to drive issues through to resolution and prevent recurrence.
• Strong knowledge of crisis, incident, problem, and change management in a production environment.
• Sound understanding of securities business operations, including the end-to-end trade lifecycle for Equity and Derivatives products.
• Strong prioritization and work-management skills, with the ability to make balanced decisions based on business impact, operational risk, urgency, and value.
• Clear and confident communication skills, including the ability to tailor messages and context for technical, business, executive, vendor, and regulatory audiences.
• Strong interpersonal and relationship-building skills, with the ability to collaborate effectively, influence stakeholders, and manage vendors and partners.
• Working knowledge of Structured Query Language (SQL) for data investigation, correction, and reporting.