Total 3 researcher job vacancies

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