Top Data Jobs in Singapore
As a Data Scientist at Funding Societies, you will design and develop machine learning models for credit scoring and risk assessment, analyze datasets for insights, and improve model infrastructure. Collaboration with the team to automate reports and workflows is key, along with creating actionable insights for business decisions.
The Senior Data Scientist will collaborate with product domains to address challenges in ranking and recommendation systems, develop data-driven solutions, and manage multiple data science projects. This role requires translating customer needs into technical specifications and overseeing the delivery of projects.
The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.
As a Senior Compliance Data Analyst, you will analyze large datasets to identify compliance trends and support financial crime operations. You'll collaborate with legal teams, participate in AML assessments, and communicate insights to leadership while optimizing data workflows.
The Data Engineer will analyze data needs, migrate data collection processes, implement data engineering jobs, develop testing plans, and collaborate with technical teams to ensure smooth deployment and operation of IT solutions.
The Senior Data Consultant will lead projects, ensuring quality delivery and driving client success through effective communication and problem-solving. Responsibilities include developing strategies, managing project execution, and fostering long-term client relationships while leveraging data for business impact.
As a Senior Compliance Data Scientist, you will analyze large datasets to identify compliance issues, develop predictive models for compliance risks, and collaborate with legal teams to ensure regulations are met while optimizing data processes and staying updated on industry trends.
Manage extensive datasets, design and implement data store, integrate alternative datasets, support users, monitor data health
As a Data Engineer at OKX, you'll design and build resilient data pipelines for batch and real-time data, architect cloud data infrastructure, collaborate with teams to develop data-driven platforms, ensure data integrity, and improve data standards and monitoring.
The Senior Data Analyst will oversee business analysis for trading products, implement data-driven strategies for growth, and develop tools for automated data reporting. Responsibilities include conducting independent analysis projects, building financial models, and collaborating with product teams based on data insights.
The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.
As a Quantitative Developer, you'll enhance the productivity of Research and Trading desks through data acquisition, designing datasets, solving data-related challenges, and managing data lifecycle projects.
The HR Data & Payroll Manager at OKX will be responsible for researching HR demands, analyzing data, developing HR data models, managing global HR data quality, and producing periodic reports. The role includes working with the compensation and benefits team to assist in optimizing salary systems and handling long-term incentive operations.
As a Data Architect at OKX, you will design and manage data architecture to support data operations, focusing on optimizing data flow and storage for both real-time and batch-processing systems. You will implement data solutions in AWS and Alibaba Cloud, develop and maintain data pipelines, and ensure data governance across the organization.
As a Senior Staff/Principal Data Engineer, you will design and maintain real-time and batch data processing pipelines using Flink, focusing on architecture and scalability. Collaborating with data scientists and cross-functional teams, you will address performance challenges and improve data integrity, particularly in FinTech or blockchain contexts.
Work as an Analyst Programmer/Data Engineer in a dynamic and empowering environment. Collaborate with experts in the field to make a difference in the lives of clients worldwide.
The Data Analytics role involves transforming data into insights to inform business decisions. Responsibilities include conducting lifecycle analysis, developing reporting capabilities, and monitoring performance for quality improvement.
As a Data Scientist, you will analyze large data sets to identify opportunities for optimization and test the effectiveness of various actions. You will develop algorithms and data models, apply data mining techniques, and conduct statistical analyses to create high-quality predictive systems.
The Data Analyst will analyze and transform data to improve Kpler’s analytical offerings in the maritime industry. Responsibilities include collaborating with business users, leading data research and processing projects, developing code and data transformations, designing dashboards and reports, identifying insights, ensuring data quality, and actively participating in team objectives and meetings.
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