Top Tech Jobs & Startup Jobs in Singapore

Operate, secure and automate the Client Identity and Access Management (CIAM) and WAF infrastructure. Implement authentication flows (SAML/OAuth/OIDC/FIDO), develop secure SPA code, onboard web apps, troubleshoot 2nd/3rd-level incidents, participate on-call, and improve reliability, performance, monitoring and automation.

Manage day-to-day operations of a business unit, leading projects, preparing reports, and governing specific processes, including financial planning and cost control.

The Periodic Review Compliance Officer will oversee client risk assessments, ensure KYC compliance, and manage relationships with internal and external stakeholders while supporting compliance with AML regulations.

Lead the development of Java applications in private banking, manage technical upgrades, oversee a team of developers, and drive stakeholder interaction for IT deliveries.

Coordinate and manage penetration testing engagements and exposure management activities. Liaise with internal teams and external vendors, scope tests, provision environments, track remediation in ServiceNow VR, and report status to stakeholders while ensuring regulatory and audit compliance.

The Credit Officer will manage credit risk for complex trading clients, structure transactions, prepare credit requests, and support credit methodology projects.

The Assistant Relationship Manager supports Relationship Managers in client administration, interaction, and daily operations while ensuring compliance with regulations and quality service. Responsibilities include managing calendars, preparing presentations, and risk management.

The Java Backend Developer will design, develop, and maintain backend services and APIs, ensuring high performance, security, and scalability in financial applications. They will collaborate with teams, troubleshoot issues, and uphold code quality standards.

Design, build, deploy, and optimize ML and AI solutions—including LLMs, RAG, multi-agent systems and function-calling—evaluate performance, test prompts, integrate models into production, and collaborate with cross-functional teams in a DevOps environment.

Design, build, deploy, and optimize scalable machine learning and AI solutions including LLMs, RAG systems and multi-agent/agentic workflows. Integrate models into production, evaluate performance, test prompts and few-shot examples, collaborate with cross-functional teams, and participate in code reviews, debugging and DevOps practices while adhering to regulatory and risk standards.