Quick Summary
Key Responsibilities
Operate automated, latency-sensitive trading systems Conduct quantitative research into strategy performance,
Technical Tools
OtherTrader
Responsibilities
~1 min read- →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
- 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
- Proficiency in programming languages such as Python or C++
- Meticulous attention to details, strong judgement and accuracy in work
- Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams
- Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations
- Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact
Nice to Have
~1 min read- Prior trader or trading analyst experience preferred
Location & Eligibility
Where is the job
Singapore
On-site within the country
Who can apply
SG
Listing Details
- Posted
- September 22, 2026
- First seen
- September 22, 2026
- Last seen
- October 11, 2026
Posting Health
- Days active
- 18
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- October 11, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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