Quantitative Developer, Alternative Investments

Key responsibilities include:

• Provide research and trading support to Portfolio Managers
• Develop monitoring and risk management tools for a live trading environment
• Increase automation of research and trading processes, with an emphasis on robust system design
• Develop tools for statistical analysis of trading costs
• Create and maintain technical documentation
• Research and evaluate new technologies for research and trading environments
• Handle ad-hoc queries from PMs and management

Key requirements include:

• Bachelor's Degree in Computer Science or Electrical Engineering
• Solid programming skills, especially in Python and C++
• Strong knowledge of distributed computation and applied statistics
• Ability to work in a fast-paced environment
• Fresh graduates are considered with the relevant technical skill set and personality

Singapore Employment Agency Licence No: 16S8069

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