Quantitative Execution Trader

QCP; Singapore; On-site; SGD 120,000 - 240,000; Full time

Job summary

Primrose Capital Management is seeking a capable quantitative trader/developer to operate automated, latency-sensitive trading systems and conduct rigorous research into strategy performance. You will adjust parameters, manually trade to manage risk, and build tools to monitor and automate workflows in a fast-paced, collaborative environment.

The role requires a strong quantitative background, expertise in distributed trading systems, and the ability to thrive under time pressure while driving

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or an equivalent STEM field.
• Ability to understand and reason about complex distributed trading systems.
• Strong analytical and quantitative mindset.
• Fast-paced, collaborative, and results-oriented environment; thrive under time-sensitive and high-pressure situations.
• Self-starter with proactivity, sets ambitious goals, and owns projects.

Responsibilities

• Operate automated, latency-sensitive trading systems.
• Conduct quantitative research into strategy performance, back-testing hypotheses and refine strategies.
• Adjust system parameters dynamically based on market conditions.
• Manually trade to reduce risk exposure when necessary.
• Identify opportunities for automation and propose improvements to trading systems and operational workflows.
• Develop internal tools and utilities to improve monitoring, operational efficiency, and desk processes.
• Communicate relevant market news, events, and system behavior to team members in a timely manner.
• Generate feedback on trading system performance through analysis of system logs, executions, and market data.

Skills

Analytical mindset

Distributed trading systems

Self-starter

Team collaboration

Education

Bachelor's degree in STEM

Tools

Blockchain/DeFi tech

Job description

Primrose Capital Management is seeking a capable quantitative trader/developer to operate automated, latency-sensitive trading systems and conduct rigorous research into strategy performance. You will adjust parameters, manually trade to manage risk, and build tools to monitor and automate workflows in a fast-paced, collaborative environment.

The role requires a strong quantitative background, expertise in distributed trading systems, and the ability to thrive under time pressure while driving