Automated Trading Quant — Digital Assets

PRIMROSE CAPITAL MANAGEMENT PTE. LTD.

Singapore

On-site

SGD 120,000 - 190,000

Full time

3 days ago
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Job summary

Primrose Capital Management seeks a highly analytical quantitative professional to join the trading desk. You will operate automated, latency-sensitive trading systems, conduct research, and refine strategies under time pressure. Collaboration across teams and proactive ownership of projects are essential.

Applicants should have a STEM degree and a strong quantitative mindset, with experience in distributed trading systems or prediction-market platforms being advantageous.

Qualifications

  • Bachelor's degree in a STEM field (CS/Engineering/Math/Statistics/Computational Finance)
  • Strong ability to understand complex distributed trading systems
  • Self-starter with proactivity and ownership of projects
  • Thrives in fast-paced, high-pressure environments

Responsibilities

  • Operate automated, latency-sensitive trading systems
  • Conduct quantitative research into strategy performance and back-testing
  • 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
  • Develop internal tools to improve monitoring and desk processes
  • Communicate market news and system behavior to the team
  • Analyze system logs and market data to evaluate trading performance

Skills

Analytical mindset
Quantitative reasoning
Proactive ownership
Team collaboration

Education

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

Tools

Polymarket
Kalshi
Blockchain/DeFi infra

Job description

Primrose Capital Management seeks a highly analytical quantitative professional to join the trading desk. You will operate automated, latency-sensitive trading systems, conduct research, and refine strategies under time pressure. Collaboration across teams and proactive ownership of projects are essential.

Applicants should have a STEM degree and a strong quantitative mindset, with experience in distributed trading systems or prediction-market platforms being advantageous.

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