Top Data Jobs in Singapore

This role involves building a centralized risk platform with advanced analytics and machine learning, conducting risk analysis, and optimizing risk strategies while collaborating with internal and external stakeholders.

As a Senior Data Scientist at Airwallex, you will optimize Payments performance, design experiments, analyze metrics, and collaborate with various teams to enhance the Payments product.

Lead the Growth Analytics team to drive data-driven decision-making and implement strategies that accelerate growth. Collaborate across multiple teams, apply data science techniques, and manage a team of data scientists to influence key business decisions.

Lead the data science team by providing mentorship, influence strategy through data analysis, and help shape product strategies based on data insights.

The Staff Data Scientist will lead the Growth Analytics team, partnering with various departments to define growth strategies and mentor junior data scientists. Responsibilities include applying data science techniques to drive product-led growth initiatives and establishing measurement frameworks for data-driven decision-making.

The Data Production Engineer will automate data tasks, support trading teams, analyze data sets, and ensure data pipeline quality and reliability.

The Senior Associate Business Intelligence Analyst analyzes data to provide insights for decision-making, supports report creation, and optimizes data visualization to drive business value.

The Senior Data Strategist will drive data discovery and utilization strategies, source datasets, manage vendor relationships, and partner with teams to enhance data operations and identify new opportunities for trading signals.

The Senior Data Scientist will analyze complex datasets, develop predictive models, and provide insights to drive business decisions, alongside mentoring junior team members.

The Business & Data Analyst will partner with teams to analyze data, create data processing pipelines, and support analytics consulting projects, focusing on transport-related insights.

The role involves maintaining the Market Data Platform, developing scripts for automation, and engaging with stakeholders to optimize systems and document solutions.

The Senior Data Scientist will leverage Machine Learning techniques to optimize game development processes, enhance workflows, and collaborate with teams to improve player experiences.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.

Develop and optimize growth strategies and analytical systems for various departments, utilizing data insights to drive business decisions and solve issues.

Collaborate with stakeholders to manage data needs, design infrastructure, create ETL pipelines, and monitor data health.

The Senior Business Analyst will act as the liaison between stakeholders and the technical team, gather and analyze requirements, and support a data platform project in the CPG sector.

The Senior Technical AML Data Analyst analyzes AML data, ensures regulatory compliance, manages large-scale data environments, and collaborates cross-functionally to enhance data processes.

Lead a team of data professionals to develop AI and data strategies, enhance banking solutions, and drive business impact through data insights.

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.

Data Operations Analyst will support data pipelines, manage incidents, and develop tools for operations while ensuring data quality and communication.

Design and implement large scale data processing pipelines, mentor junior engineers, and maintain cloud-based data platform infrastructure.

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

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

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.