Quant Execution Trader – Digital Assets

QCP; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Primrose Capital Management, a global quantitative digital assets fund manager, is seeking a candidate to operate automated, latency-sensitive trading systems and perform quantitative research into strategy performance.

You will adjust system parameters, trade to manage risk, and contribute to automation and internal tools, with a fast-paced, collaborative environment that rewards proactive ownership.

Qualifications

• Bachelor’s degree in CS, Engineering, Mathematics, Statistics, Computational Finance, or equivalent STEM field.
• Ability to understand and reason about complex distributed trading systems
• Strong analytical and quantitative mindset
• Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations
• Self-starter with proactivity, sets ambitious goals, drives and owns projects, and proactively identifies opportunities for impact

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 behaviour 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

Quantitative skills

Proactive

Self-starter

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or an equivalent STEM field

Job description

Primrose Capital Management, a global quantitative digital assets fund manager, is seeking a candidate to operate automated, latency-sensitive trading systems and perform quantitative research into strategy performance.

You will adjust system parameters, trade to manage risk, and contribute to automation and internal tools, with a fast-paced, collaborative environment that rewards proactive ownership.