Financial Technology Jobs in Singapore
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Cyber Security DLP Specialist (AI-Enabled Data Protection)
Responsibilities Evaluate and utilise AI-enabled security capabilities to enhance DLP monitoring, alert prioritisation, behavioural analysis, and internal data leakage investigations.Assess how machine learning and analytics can improve the identification of anomalous data movement and reduce false-positive DLP alerts.Work with vendors and internal...
ETRM Business Analyst / Developer
Business Analysis and Functional ConsultingWork with front-office, middle-office, operations, finance, and technology stakeholders to understand business processes and system requirements.Gather, analyse, and document business, functional, and technical requirements.Translate trading and risk-management requirements into practical ETRM solutions.Co...
AI Platform Engineer
Role OverviewWe are looking for a highly hands-on DevOps / Platform Engineer to design, build, and manage the organisation's container and cloud platform. The successful candidate will have direct experience building, provisioning, configuring, upgrading, securing, and operating Kubernetes clusters in production environments.You will be responsible...
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Director Cyber Security Architect
We are seeking an experienced Cybersecurity Solutions Architect to join our Information Security team and play a key role in strengthening the organisation's security posture across all business units.The organisation operates within a complex and highly interconnected technology environment, supported by a broad range of platforms, applications, ...
AI Product Engineer
Job DescriptionWork closely with product stakeholders to build and launch AI driven products from early concept and experimentation through to production deployment, performance tracking, and continuous improvement.Take ownership of the backend systems supporting AI applications, including model integration, retrieval pipelines, APIs, data movement...
AI Solutions & Product Lead
Job DescriptionPartner closely with business and product stakeholders to shape AI solutions from initial discovery and use case definition through to implementation, launch, and ongoing enhancement.Translate business requirements into scalable AI solution designs, covering model integration, retrieval architecture, APIs, data flows, storage, orches...
