Co-Head of Quantitative Research
Leads and contributes directly to systematic equity alpha research in China, producing scalable signals and influencing live trading P&L. The player-coach role requires a STEM degree, at least five years of relevant experience, strong programming and research infrastructure skills, and a demonstrated record of profitable research.
About the job
Responsibilities
- Co-lead the China research function, enforce high research standards and reproducibility, and conduct structured research reviews.
- Produce differentiated, robust, and scalable equity alpha while contributing directly to live trading P&L.
- Elevate research quality across the office and help scale the team without diluting standards.
- Independently originate, validate, and deploy profitable signals while directly generating alpha.
- Improve and refine existing research, driving innovation in modeling, data usage, and signal construction with strict statistical discipline and out-of-sample rigor.
- Shape thematic priorities and research roadmaps to guide the direction of the platform.
- Mentor and scale the team by coaching researchers, developing high-potential talent, maintaining a strong hiring bar, and ensuring growth does not compromise alpha quality.
Requirements
- BS, MS, or PhD degree in a STEM field.
- 5+ years of experience in systematic equity alpha research.
- Proven record of generating statistically robust and profitable signals.
- Direct contribution to live P&L.
- Deep understanding of signal decay, capacity, risk controls, and overfitting mitigation.
- Strong programming and research infrastructure fluency.
Benefits
- Competitive compensation with a bonus tied to the performance of algorithms developed.
- Collaborative and friendly work environment with participation in research-direction decisions and opportunities to lead new ideas.
- Comprehensive benefits, including healthcare and insurance.
Skills
Systematic Equity Research, Alpha Research, Statistical Modeling, Signal Construction, Programming, Research Infrastructure, Risk Controls, Overfitting Mitigation, Out-Of-Sample Testing, Quantitative Research
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