Top Tech Jobs & Startup Jobs in Singapore

Serve as a middle-office specialist for commodities trade finance: verify and monitor transactions and collateral, review documentary support and AML/CFT issues, assess collateral value, track transaction lifecycle, control collateral movements, manage exceptions with Relationship Managers, and provide monitoring feedback for credit reviews.

Perform proactive threat hunting across endpoints, network, cloud, identity, and applications using threat intelligence and telemetry; develop hunting hypotheses; analyze SIEM/EDR/logs; investigate anomalies; support incident response and detection engineering; recommend security control improvements.

Lead the Managed Solutions Advisory team to grow AUM through advisory and distribution of funds, DPM and alternative investments. Partner with Fund Selection, DPM, CIO, RMs and external fund houses; run client and RM briefings, oversee post-sales monitoring, support DPM mandate growth, lead strategic platform and client experience projects, and apply data analytics and AI tools for business insights.

Provide administrative and client-service support to Relationship Managers for Private Banking clients: handle enquiries, monitor account activity, support financial advisory, maintain client data and reports, coordinate with product/operations teams, prepare meetings and travel, produce presentation materials, and ensure compliance with policies and regulations.

Manage finance operations risk, governance, and compliance; maintain supplier/intergroup master data; produce management reports and dashboards; review group policies and provide policy advisory; identify and implement process improvements; collaborate with finance, risk, and compliance teams and support team lead on stakeholder management.

Support Solutions & Automation for Front Office trading and sales by building tactical fixes, dashboards (Power BI/Tableau), automated monitoring, and QA. Use Excel VBA and Python for data extraction, analysis, and automation, explore AI prompt coding, and contribute to special projects across the project lifecycle.

Lead application of data science, machine learning and generative AI to drive SME customer lifecycle outcomes. Translate business problems into models, build and deploy scalable production ML/AI solutions, partner with stakeholders and data engineering, monitor model performance, and promote responsible AI and MLOps best practices.

Lead and deliver thematic operational risk reviews to identify cross-cutting control weaknesses, root causes and emerging trends. Provide independent second-line challenge, develop practical remediation actions with stakeholders, prepare concise reports for senior management, track remediation outcomes, and continuously enhance review methodology and quality assurance. Participate in cross-functional initiatives to improve risk management and control monitoring.

Operate, maintain, and optimize hybrid cloud Data and AI platforms (Cloudera CDP/CML, Hadoop, Spark) across AWS and on-prem. Perform platform upgrades, security patching, container/Kubernetes/OpenShift administration, monitoring, troubleshooting, and automation using Shell/Python. Collaborate with Infrastructure, Security, SRE, and Data/ML teams to ensure availability and scalability of AI/ML and Generative AI services (SageMaker, EMR, Bedrock).

Design, develop, test, and maintain front-end applications for wealth management. Build reusable UI components, ensure accessibility and consistency, integrate with RESTful APIs, participate in code reviews, troubleshoot front-end issues, and collaborate with cross-functional teams.