Execution Trader
QCP is an Asia-based digital asset partner providing institutional-grade digital asset trading and investment solutions across global markets.
About QCP Capital
QCP Capital Pte. Ltd. is a Singapore-headquartered digital-asset trading and market-making company founded in 2017. Its current offerings include spot trading, derivatives, structured solutions, OTC liquidity, institutional execution, collateral management, and tailored digital-asset strategies.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will operate automated, latency-sensitive trading systems and conduct quantitative research to assess and refine strategy performance. You will dynamically adjust system parameters, manually trade when needed to reduce risk, and analyze logs, executions, and market data. You will identify automation opportunities, develop internal monitoring tools, and communicate relevant market developments and system behavior promptly.
Requirements
- 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 skills
- Ability to work effectively in fast-paced, time-sensitive, high-pressure situations
- Ability to drive and own projects and identify opportunities for impact
Responsibilities
- Operate automated, latency-sensitive trading systems
- Conduct quantitative research, back-test hypotheses, and refine strategies
- Adjust system parameters dynamically based on market conditions
- Manually trade to reduce risk exposure when necessary
- Identify automation opportunities and improve trading systems and operational workflows
- Develop internal tools and utilities for monitoring, operational efficiency, and desk processes
- Communicate relevant market news, events, and system behavior to team members
- Analyze system logs, executions, and market data to provide feedback on trading system performance
