Key Responsibilities: Database Administration: Manage and optimize MS SQL Server and PostgreSQL databases for high availability, performance, and security. Cloud & RDS Management: Administer databases in hybrid cloud (AWS/Azure) and RDS environments. High Availability & Disaster Recovery: Implement and support Always On Availability Groups (AAG) and backup/recovery strategies. Performance Optimization & Automation: Monitor, analyze, and optimize database performance while automating routine tasks. Data Warehousing & ETL: Design, implement, and maintain data warehouses, SSIS packages, and ETL processes. Experience Required: 3 to 4 years of hands-on experience in MS SQL Server and PostgreSQL administration. Expertise in hybrid cloud (AWS/Azure) and RDS database management. Strong knowledge of

Responsibilities: Build Trading related software using Agile methodologies. Partner with business and develop solutions. Collaborate with different team and support each other’s mission. Prepare documentation for design and implementation. Enable and support functional and user acceptance testing. Support applications in production – analyze and resolve issues as they arise. Requirements: Degree and Interest in Coding. Strong interpersonal and communication skills. Team-oriented, self-motivated, and adaptable. Familiar with any of following technology Java, Spring Boot ASP.Net, .Net Core, C#, Java script, jQuery, Angular C++ Familiar with any of following database Relational databases – MS SQL Server No SQL DB – MongoDB, Redis

Responsibilities: Work with cloud architect to design the cloud architecture, including infrastructure, networking and security Work with cloud architect to evaluate the cloud platforms and select the most suitable option Work with cloud architect to Develop the migration strategies and plans Assess and migrate existing data warehouse and data pipelines to the cloud. Optimize data storage and processing for cloud environments. Develop cloud-native data pipelines and applications. Ensure system reliability, data security and compliance. Requirements: Degree in Computer Science, Data Science, Mathematics or a related IT field Excellent time management, prioritization, and multitasking skills. Strong interpersonal and communication skills. Team-oriented,

Responsibilities: Work with data engineer to collect, clean, and prepare relevant datasets. Develop and train machine learning models to predict creditworthiness. Evaluate model performance and refine as needed. Setup MLOps to automate continuous model evaluation and fine-tuning. Requirements: Degree in Computer Science, Data Science, Mathematics or a related IT field Excellent time management, prioritization, and multitasking skills. Strong interpersonal and communication skills. Team-oriented, self-motivated and adaptable. If you are looking for an environment of growth and opportunities, please write in with a detailed resume stating the position applied and expected salaries to the HR department via recruitment@phillip.com.sg. We regret that

Responsibilities: Design and implement data pipelines to collect, store, and process data required. Ensure data quality and integrity. Develop APIs for integrating the credit assessment system with other applications. Work with platform developers and product owners for the integration. Requirements: Degree in Computer Science, Data Science, Mathematics or a related IT field Excellent time management, prioritization, and multitasking skills. Strong interpersonal and communication skills. Team-oriented, self-motivated and adaptable. If you are looking for an environment of growth and opportunities, please write in with a detailed resume stating the position applied and expected salaries to the HR department via recruitment@phillip.com.sg. We

Responsibilities: Explore and analyse data to identify patterns and trends. Develop and implement machine learning algorithms for recommendation Evaluate and refine recommendation models based on performance metrics. Setup MLOps to automate continuous model evaluation and fine-tuning. Requirements: Degree in Computer Science, Data Science, Mathematics or a related IT field Excellent time management, prioritization, and multitasking skills. Strong interpersonal and communication skills. Team-oriented, self-motivated and adaptable. If you are looking for an environment of growth and opportunities, please write in with a detailed resume stating the position applied and expected salaries to the HR department via recruitment@phillip.com.sg. We regret that only

Responsibilities: Collect, clean, and prepare relevant datasets from various sources Develop data pipelines to ensure efficient data flow and processing, real-time near real-time is preferred. Implement data warehousing and data lake solutions for scalable storage. Develop APIs for integrating the recommendation engine with other applications and processes Work with platform developers and product owners for the integration. Requirements: Degree in Computer Science, Data Science, Mathematics or a related IT field Excellent time management, prioritization, and multitasking skills. Strong interpersonal and communication skills. Team-oriented, self-motivated and adaptable. If you are looking for an environment of growth and opportunities, please write in

Responsibilities: Define the overall data architecture and governance framework. Ensure consistency and alignment with business objectives Design and develop data pipelines and automation workflows using DataOps tools. Implement CI/CD pipelines for data pipelines and applications Implement data quality checks and validation processes. Ensure system reliability, data security and compliance. Requirements: Degree in Computer Science, Data Science, Mathematics or a related IT field Excellent time management, prioritization, and multitasking skills. Strong interpersonal and communication skills. Team-oriented, self-motivated and adaptable. If you are looking for an environment of growth and opportunities, please write in with a detailed resume stating the position applied

Responsibilities: Collaborate with researchers and business units to understand various data sources Evaluate the technology solution to acquire and store the data Design and implement the database architecture and data models. Develop data pipelines to collect, clean, and transform data from various sources. Ensure data quality and integrity through data validation and cleansing processes. Requirements: Degree in Computer Science, Data Science, Mathematics or a related IT field Excellent time management, prioritization, and multitasking skills. Strong interpersonal and communication skills. Team-oriented, self-motivated and adaptable. If you are looking for an environment of growth and opportunities, please write in with a detailed