Top Data Jobs in Singapore

Lead the development and launch of data/AI products, manage product vision and strategy, and collaborate with stakeholders to drive adoption and business value.

The role involves analyzing user growth, optimizing growth funnels, developing user segmentation, evaluating marketing effectiveness, and collaborating with cross-functional teams to improve data strategies.

As an Expert Software Engineer, you will lead engineering teams, drive technical initiatives, and oversee the development of a scalable Data Orchestration SaaS product for financial risk management.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

Lead Data Scientist to manage complex analytical projects, design and implement machine learning models, mentor junior team members, and collaborate with stakeholders to drive data-driven solutions.

The role involves providing support and maintenance for .NET applications, troubleshooting issues, collaborating with teams, and optimizing application performance.

The Senior Client Manager will leverage advanced experience to develop complex operational initiatives, manage business targets, and interact persuasively with key stakeholders, fostering innovative solutions and client success.

The Data Engineer will design and build data onboarding pipelines and workflows, collaborating with traders and researchers to improve data accessibility and efficiency in trading processes.

The Data Compliance Manager designs global product solutions for data compliance, analyzes regulations, manages product lifecycles, and promotes compliance products.

As a Data Scientist at Kyndryl, you will analyze data, develop predictive models, and integrate machine learning features into production systems, focusing on privacy-enhancing technologies.

Lead the Underwriting Disruption project by integrating advanced data analytics and technology into insurance underwriting operations, enhancing predictive capabilities and streamlining processes through strategic leadership and cross-functional collaboration.

The Regional Industries Sales Manager SEA supports APAC Vertical Leads to drive sales in the South East Asia Market, focusing on the Data Centre, Education, Retail & Hotels Sectors. The role involves identifying client leads, developing sales strategies, and collaborating with various teams to achieve revenue growth.

Develop and execute sales strategies for data solutions, build client relationships, and drive revenue growth in financial markets.

As part of the Wealth Management Operations team, you'll manage security instruments and counterparty information, ensuring accuracy and adherence to SOPs. You'll provide exceptional client service while executing control and delivery frameworks, report statistics, and support ad hoc tasks or projects as assigned.

The Senior Data Analyst will build Power BI dashboards, design data models, perform data analysis, and collaborate with stakeholders to gather insights.

As a Data Specialist, you'll manage data products, ensuring accuracy and generating insights for institutional investors. You'll also enhance your programming skills using Python and SQL.

Manage project lifecycles, develop and execute project plans, collaborate with stakeholders, and ensure timely delivery within budget while mitigating risks.

The Data Engineer will build and maintain a low-latency market data platform, ensuring reliability and integration with trading systems. Responsibilities include designing data pipelines, collaborating with stakeholders, and improving data processes.

As a Senior Data ETL Engineer, you'll develop data pipelines, support AI/ML initiatives, ensure data quality, and optimize performance.

The Big Data Test Engineer ensures the quality of data platforms through rigorous testing and validation, collaborating closely with data engineers.

The Data Centre Engineer will manage data and colocation centres, coordinate logistics, and ensure operational standards for security and upkeep.

The Data Engineer will support the Data Movement project by building, integrating, and testing a Data Toolkit, focusing on data ingestion and observability.

The Data Engineer will design, develop, and maintain data ingestion and processing jobs, ensuring smooth operations and addressing production issues.

The SAP BTP/CPI Lead oversees SAP cloud-native application design, CPI project management, and integration architecture, ensuring solutions align with business objectives and security standards.

The Software Applications Development Engineer develops and improves applications based on client needs, designs and writes code, tests applications, and communicates with stakeholders. Requires proficiency in multiple programming languages and software development processes.