Top Tech Jobs & Startup Jobs in Singapore

Supports discretionary portfolio implementation by overseeing liquidity, cash management, FX hedging, and trade execution. Manages BlackRock Aladdin platform enhancements, dashboards, analytics, workflows, data quality, and pre-trade controls. Drives AI, digitalization, automation, data governance, regulatory controls, documentation, and operating model improvements while coordinating with portfolio managers, technology, operations, finance, compliance, dealing desks, and external vendors.

Manage and optimize an on-premises Teradata enterprise data warehouse. Responsibilities include space allocation, data skew resolution, SQL performance tuning, workload management, load utility troubleshooting, backup and disaster recovery, access control, auditing, and resource monitoring. The role requires extensive Teradata production experience, knowledge of MPP architecture, Linux/Unix administration, shell scripting, and physical infrastructure management.

Develop and support batch and streaming data pipelines, data models, ingestion workflows, orchestration, cloud infrastructure, and backend services for banking data platforms. The role also supports AI knowledge bases, vector database pipelines, embeddings, document processing, RAG workflows, and semantic search. Responsibilities include monitoring data quality, troubleshooting pipeline issues, participating in testing and code reviews, and collaborating with engineering, AI, and business teams.

Leads and manages payment application support for critical banking systems, including SWIFT, remittance, FAST, and PayNow. Oversees L2 production support, incident resolution, monitoring, job recovery and automation, disaster recovery exercises, capacity planning, performance tuning, security compliance, vulnerability remediation, vendor coordination, and cross-functional stakeholder communication.

Lead application and systems design, development, and deployment; collaborate with stakeholders to translate business needs into technical solutions; manage and mentor developers; ensure technology standards compliance; and troubleshoot technical issues. The role requires strong application development expertise, leadership, communication, strategic thinking, and customer focus within a banking technology environment.

Conduct financial crime and operational risk surveillance, control testing, thematic reviews, and data-driven monitoring for consumer banking. Track flagged risks, validate control effectiveness, identify emerging trends, escalate material findings, and report insights to management and business stakeholders. The role requires collaboration across departments, strong risk assessment expertise, stakeholder influence, and proficiency with Power BI and Microsoft Office.

Operate and support PAM platforms (CyberArk EPV, Conjur) with 24x7 on-call coverage. Manage patching, vulnerability remediation, HA/DR, integrations (OS, DB, middleware, SIEM, IAM, cloud), secrets management for DevOps, incident-response support, documentation, and platform modernization to ensure secure, resilient operations.

Lead strategy, portfolio management, development, launches, campaigns, governance, analytics, and lifecycle management for deposit products across branch and digital channels. Coordinate with Risk, Compliance, Legal, Operations, Finance, partners, and senior stakeholders to ensure regulatory compliance, improve performance, and drive business results.

Manage ERP system and business process changes, including stakeholder requirements gathering, solution development, process documentation, training, risk mitigation, and effectiveness reporting. The role supports successful ERP implementation and adoption by conducting workshops, monitoring change outcomes, and collaborating across business teams.

Establish and scale the bank’s enterprise knowledge management capability. Develop governance standards, operating models, taxonomies, metadata, lifecycle controls, implementation roadmaps, and adoption programs. Partner with Risk, Compliance, Technology, HR, Operations, and business functions to create trusted, reusable, AI-ready knowledge. Define standards supporting Copilot, enterprise search, RAG, knowledge graphs, and AI agents. Measure knowledge quality, adoption, freshness, search success, duplication, and AI readiness while reporting outcomes to senior management.