Quantitative Researcher
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 enhance an in-house quantitative research platform and develop new features. You will generate data ideas, alpha ideas, and research hypotheses, then build automated workflows using AI agents for data analysis, signal discovery, backtesting, and experimentation. You will translate research ideas into actionable trading strategies.
Requirements
- MPhil or PhD in Physics Computer Science Mathematics Statistics or Engineering
- Proficiency in Python and SQL
- Strong foundation in statistics probability and quantitative modeling
- Strong problem-solving skills especially for optimization problems
- Proficiency with AI tools and AI agents
- Understanding of agentic design patterns
- Ability to design multi-step tool-using AI workflows for quantitative research
- Strong research mindset
- Understanding of backtesting validation and overfitting
- Experience in quantitative trading crypto markets or financial markets is a strong plus
- Ability to independently develop research ideas and translate them into actionable trading strategies
Responsibilities
- Enhance the quantitative research platform
- Build new platform features
- Generate data ideas and alpha ideas
- Develop quantitative research hypotheses
- Build automated research workflows using AI agents
- Accelerate data analysis signal discovery backtesting and experimentation
- Develop research ideas into actionable trading strategies
Benefits
- Flexible working arrangements