Top Data Jobs in Singapore

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Lead Data Scientist II will leverage advanced analytics and data science to support business processes, optimize operations, and lead technical initiatives. Responsibilities include problem framing, data assessment, model development, and advising business leaders on analytics solutions.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

As a Software Engineer for Data Orchestration, you'll develop systems for high volume data processing, focusing on real-time fraud monitoring tools with a DevOps approach and collaborative workflows.

The Director of Data Product Management at OKX is responsible for overseeing data foundation management, enabling data-driven growth, and leading a team to enhance data productization and quality management, while promoting a data-driven culture across the organization.

As a Senior Client Manager, you will manage and grow client relationships, drive expansion, and ensure satisfaction throughout the client lifecycle. You'll leverage sales tools, develop effective communications, and contribute to revenue growth while coordinating internal and external resources for sales opportunities.

The Intern/Apprentice assists with various tasks in a specific area, gaining practical experience and knowledge while supporting team projects, client engagement, and administrative duties.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

Lead enterprise data and AI architecture strategy, ensuring alignment with business goals and guiding solution designs while managing cross-domain initiatives and compliance requirements.

Lead the strategy and architecture for enterprise data and AI, focusing on design authority, governance, metrics, and capability building.

Lead the development and delivery of reporting and analytics platforms, optimizing marketing campaigns, advising on MarTech solutions, and driving digital maturity for clients.

The GPS Associate will support market data through software solutions, automation, and collaboration within cross-functional teams while participating in a two-year developmental program.

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

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.

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

The Data Analyst II will resolve complex data issues, create visualizations, analyze datasets, ensure data quality, and support data infrastructure needs.

The VP, Lead Functional Business Analyst will manage stakeholder relationships, oversee requirements analysis, and lead a team of business analysts focusing on AML and KYC processes within the bank.

Lead large-scale analytic projects focusing on driving business impact through strategic analysis and machine learning/NLP models in the financial sector.

Interns will utilize LLMs to summarize and compare regulatory texts, as well as build data augmentation pipelines for fraud models.

Responsible for leading the development and maintenance of a data analytics platform, prioritizing product backlog, ensuring data quality and compliance, and collaborating with cross-functional teams for feature deployment.

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

The HSE Manager oversees health, safety, and environmental compliance for data centre construction, conducts risk assessments, and promotes safety culture.