Total 6 lab technician job vacancies in Singapore

Job Summary

The Talent Acquisition Intern will collaborate with the HR team to enhance talent acquisition processes and support DTL’s global recruitment initiatives.

Responsibilities

• Source and engage potential candidates using social media platforms and university career portals to expand recruitment reach
• Maintain and grow DTL’s talent pool and recruitment channels to support hiring needs
• Support the creation and distribution of recruitment marketing materials to attract qualified candidates
• Contribute to various HR projects to improve overall human resource functions

Preferred competencies and qualifications

• Currently pursuing an undergraduate degree in a relevant field or possessing relevant experience
• Demonstrate meticulousness, professionalism, and strong organizational skills
• Exhibit strong interpersonal and communication skills
• Show proactive and results-oriented approach in completing assigned tasks

Job Summary

The C++ Developer will maintain and innovate trading and research systems in global markets, handling requirements gathering, development, testing, performance monitoring, and release management to enhance trading capabilities.

Responsibilities

• Optimize performance of trading system components to improve efficiency and reliability
• Maintain and enhance the backtest simulator to support accurate trading strategy evaluation
• Explore and integrate big-data infrastructure to advance research capabilities
• Conduct research and development of execution algorithms to improve trade execution quality
• Collaborate with cross-functional teams to gather requirements and deliver robust software solutions
• Manage build and release processes to ensure smooth deployment and version control
• Monitor system performance and troubleshoot issues to maintain high availability and responsiveness

Preferred competencies and qualifications

• Proficiency in one or more programming languages such as C, C++, Java)
• Strong knowledge of algorithms, data structures, and operating system concepts including memory management, scheduling, and I/O for system optimization
• Experience with Linux environments for development and deployment
• Ability to quickly learn new technologies and apply them effectively in complex projects
• Effective communication and decision-making skills to collaborate and drive project success
• Knowledge of automated trading systems to understand domain-specific requirements

Job Summary

Develop and deploy advanced AI models using machine learning, deep learning, and statistical methods to analyze complex datasets and drive predictive system performance in a quantitative trading environment.

Responsibilities

• Develop AI models by applying machine learning, deep learning, and statistical methods to large-scale datasets
• Analyze complex datasets including text, images, audio, or structured data to identify patterns and build predictive systems
• Apply mathematical foundations such as linear algebra, probability, and optimization to design and enhance AI models
• Implement and train AI/ML models using programming languages like Python, C++, or similar
• Conduct research and experiments to improve model accuracy, efficiency, and generalization
• Design and evaluate algorithms including neural networks, reinforcement learning, and natural language processing models
• Collaborate with engineers and researchers to deploy AI models into production systems
• Utilize Linux environments and cloud platforms (e.g., AWS, GPU clusters) to support training and development workflows

Preferred competencies and qualifications

• Strong programming skills in Python (primary), C++, or Java
• Solid understanding of machine learning, deep learning, statistics, and optimization principles
• Experience with AI frameworks such as PyTorch, TensorFlow, or JAX
• Exposure to AI research or projects through academic work, internships, or industry experience
• Strong mathematical background including linear algebra, calculus, probability, and statistics
• Advanced degree (Master’s or PhD) in Computer Science, AI, Data Science, or related fields preferred; strong Bachelor’s degree also considered

Job Summary

Quantitative researchers design and backtest trading models that form core trading strategies.
They collaborate or work independently, applying creativity and innovation to develop effective quantitative solutions.

Responsibilities

• Design and backtest trading models to develop robust trading strategies that drive investment decisions
• Collaborate with team members or work independently to deliver research projects aligned with strategic goals
• Apply advanced mathematical techniques to analyze data and validate model performance in financial markets
• Develop and implement programming solutions to automate model testing and data analysis processes
• Solve complex quantitative problems to enhance model accuracy and trading effectiveness
• Learn and master complicated quantitative topics to continuously improve research outcomes
• Manage detailed and repetitive tasks with precision to ensure data integrity and model reliability

Preferred competencies and qualifications

• Experience in quantitative research through work, internships, or academic projects
• Familiarity with Linux/Unix operating systems to support research computing environments
• Proficiency in at least one scripting language such as Python or MATLAB to develop and test models

Job Summary

Develop and apply fundamental and quantitative research methods to generate trading ideas that drive investment decisions and performance in global equity markets.

Responsibilities

• Develop trading ideas by applying fundamental and quantitative analysis to financial data and market trends
• Analyze financial markets using advanced quantitative, analytical, and problem-solving techniques to identify investment opportunities
• Apply strong mathematical skills to model and interpret complex financial datasets for research and trading strategies
• Utilize programming skills in Python or C++ to implement and test quantitative models and trading algorithms
• Conduct detailed research and maintain accuracy in data analysis to support robust trading decisions
• Collaborate on projects or internships to gain practical experience in quantitative research within financial markets
• Use Linux operating systems to support research and development workflows

Preferred competencies and qualifications

• Experience with Linux operating systems to enhance research efficiency
• Solid programming skills in Python or C++ for quantitative model development
• Industry or quantitative research experience gained through work, internships, or academic projects
• Master’s or PhD degree in finance, accounting, economics, or related fields; exceptional Bachelor’s degree holders considered

Job Summary

The system administrator collaborates with IT and other teams to maintain and enhance the security, performance, and scalability of IT infrastructure.

Responsibilities

• Maintain server and network infrastructure to ensure high availability, optimal performance, and robust security across all systems
• Configure and set up hardware including workstations, network devices, and servers to support operational needs
• Perform routine system maintenance, apply updates, and manage backups to ensure system reliability and data integrity
• Evaluate and implement new technologies to optimize existing IT processes and infrastructure

Preferred competencies and qualifications

• Diploma or Degree in Computer Engineering or a related field
• Knowledge of Linux operating systems and network fundamentals to support system administration tasks
• Familiar with scripting languages such as Bash or Python to automate and streamline IT operations
• Familiar with infrastructure monitoring tools to track system health and performance
• Demonstrated eagerness to learn and adapt to emerging technologies