Top Tech Jobs & Startup Jobs in Singapore

Supports technology governance, risk management, cybersecurity awareness, audits, regulatory reviews, infrastructure standards, and IT operations across international offices. Coordinates between Group Technology and overseas teams, tracks remediation and operational issues, supports incident, change, problem, and asset management, and helps maintain compliance with technology policies and security requirements.

Leads infrastructure support for enterprise cybersecurity platforms across endpoint, server, network, data protection, vulnerability, SIEM, and cloud domains. Owns service availability, incidents, changes, patching, monitoring, lifecycle management, operational risk, reporting, vendor coordination, and major escalations. Coordinates infrastructure resources for cybersecurity initiatives, including CDR 5.0, and ensures production readiness, documentation, support models, training, and handover. Drives service improvement, automation, standardization, and effective collaboration with CISO, engineering, application, and infrastructure teams.

Build and support full-stack wealth and trading applications using Java, Spring Boot, ReactJS, and microservices. Translate business requirements into scalable solutions, develop backend services and responsive frontends, implement automated testing and CI/CD, troubleshoot production issues, and improve system performance and reliability. Collaborate with product owners, business users, designers, QA, analysts, and engineering teams across the full software development lifecycle.

Provide legal counsel to markets and derivatives businesses across OCBC, drafting and negotiating ISDA, CSA, GMRA, GMSLA, TMA, MCA, and other trading and collateral agreements. Advise on legal, credit, operational, tax, regulatory, and business issues; maintain documentation standards; support regulatory and bank projects; and collaborate with sales, structuring, trading, and cross-functional stakeholders.

Develops and deploys AI, machine learning, GenAI, automation, and analytics solutions for Group Risk Management. Partners with business, risk, data engineering, data science, and technology teams to translate business needs into measurable outcomes. Guides model selection, GenAI cost estimation, benefit realization, responsible AI, data governance, and regulatory compliance while promoting an AI-enabled culture.

Leads development and support for a vendor-provided financial markets application. Responsibilities include validating releases, managing source code, deploying microservices and microfrontends, maintaining environments, troubleshooting production issues, reviewing database changes, supporting architecture discussions, coordinating defect resolution, and collaborating with DevOps, infrastructure, QA, database, vendor, and business teams.

Reviews and approves consumer credit applications, primarily mortgage and auto loans, while ensuring compliance with credit policies and regulations. Conducts independent credit due diligence, manages lending risk, and recommends policy improvements. Partners with stakeholders to streamline end-to-end processes, improve turnaround times, strengthen controls, and support digital transformation through technology and automation.

Lead enterprise-wide Data and AI transformation programmes across banking business and technology domains. Responsibilities include programme governance, delivery planning, executive reporting, data governance, AI implementation, risk and dependency management, budgeting, resource planning, stakeholder engagement, vendor management, change adoption, and benefits realisation.

Build and maintain scalable services, applications, RESTful APIs, and user interfaces. Translate product requirements into technical solutions, collaborate with stakeholders, and deliver reliable, scalable software that adapts to evolving product needs. The role requires expertise in JavaScript and React, familiarity with microfrontend, microservices, and cloud-native architectures, RESTful API experience, and proficiency with Kubernetes or Docker.

Supports AI Agent evaluation, prompt engineering, documentation, data governance, AI research, business use-case development, and workflow automation within Digital Finance. Collaborates with finance, technology, and business stakeholders to prototype AI-driven solutions, improve data readiness, and contribute to digital transformation and innovation initiatives.