Top Data Jobs in Singapore

Lead advanced analytics initiatives in compliance domains, translating regulatory requirements, mentoring staff, and ensuring quality and governance standards.

The role oversees AI and data risk governance, ensuring compliance with regulations while managing the AI and data lifecycle effectively across the organization.

The Vice President, Data Stewardship and Enforcements will oversee data governance initiatives, collaborate across teams, drive data governance maturity, and manage compliance and risk assessments.

The Data Engineer will architect and deploy scalable data pipelines, operationalize GenAI in Finance, and deliver robust BI solutions, collaborating with analysts and engineers.

The Product Deployment Lead connects platform products to live projects, ensuring adoption and deployment readiness while translating operational feedback into improvements. They oversee regional alignment and product fidelity to enhance project outcomes and customer confidence.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.

As a Senior Data Engineer, you will enhance data reliability by designing scalable pipelines, collaborating with data teams, ensuring data security and governance, while adhering to best practices and regulatory standards.

The Manager of Data Solutions Sales Enablement supports data solutions strategy by translating client needs into product requirements, collaborating with teams, and tracking performance metrics.

The Director of Market Data Sales for APAC develops sales strategies, drives revenue growth, and maintains client relationships within the market data sector. Responsibilities include generating sales, managing a sales pipeline, offering strategic input on product development, and representing Cboe at industry events. This role requires a strong understanding of financial markets and a proven sales track record.

The Application Presales Architect guides potential clients through the sales process by demonstrating compliance platform capabilities and providing solutions in the AML/KYC/Fraud areas.

The Data Processing Specialist will assist in records management and data privacy efforts to support customer needs at Iron Mountain.

The intern will support the Business Decisioning and Analytics team by operationalizing AI and data analytics best practices, contributing to data innovation initiatives, and learning about the impact of technology in banking.

This internship involves leveraging AI and data analytics for business decision-making, supporting use case testing, and contributing to data innovation initiatives.

Analyze large-scale datasets, using analytics and machine learning to solve challenges in gaming, while collaborating with teams and delivering insights.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

As a Senior kdb+ Developer, you will lead technical delivery, design kdb+ architectures, mentor developers, and drive innovation in financial data solutions.

The role involves developing and maintaining kdb+ applications, supporting project delivery, analyzing data, and mentoring juniors, while collaborating with business users.

As a Data Engineer, you will build data pipelines using AWS, support AI/ML projects, improve existing systems, and ensure security compliance.

Design and maintain data pipelines, collaborate with AI engineers, and ensure data quality for AI/ML models in supply chain operations.

The Business Analyst will focus on onboarding data points for new products, ensuring data quality for Power BI and Python applications, preparing test scenarios, managing UAT, and coordinating with teams for data migration.

Lead the design and management of data and analytics solutions in banking, focusing on architecture, team leadership, and regulatory compliance. Develop AI/ML applications and ensure scalable platforms for enterprise use.

Lead stakeholder relationships, analyze business capabilities, manage compliance technology needs, coach team members, and ensure compliance with regulatory expectations in banking.

The Senior Data Analyst will convert marketing data into insights, enhance reporting, ensure data integrity, and manage an intern. Collaborate with leadership to improve marketing strategies and drive company growth.

Oversee data center operations, manage engineering teams, ensure compliance and maintenance, meet KPIs within budget, and liaise with contractors.

The Data Engineer will solve complex data challenges, optimize data pipelines, debug failures, and enhance database performance for government agencies.