Location: New York / Hong Kong / Shanghai / Shenzhen / Beijing Function: Quantitative Research About the Role We are partnering with a rapidly growing, research-driven quantitative investment fund with a global footprint. The fund specializes in high- and mid-frequency trading strategies across equities and futures markets. Researchers play a central role in driving alpha discovery, end-to-end model development, and strategy optimization within a lean and highly collaborative environment. This is an opportunity for someone who wants full ownership of the research lifecycle, access to diverse datasets, and the chance to make a direct impact on trading strategies in a platform that values intellectual rigor and innovation. Responsibilities • Conduct quantitative research to identify alpha signals across equity and futures markets. • Build, test, and optimize statistical and machine learning models for trading strategies. • Analyze large, diverse datasets and extract actionable insights for mid- to high-frequency domains. • Collaborate closely with a research-focused team to drive the implementation of new models and strategies. • Stay at the forefront of academic research and translate it into practical trading applications. Requirements • Bachelors, Masters, or PhD in Statistics, Mathematics, Physics, Computer Science, or related quantitative field. • Proficiency in 1 programming language: Python (preferred), C++, MATLAB, R, or C#. • Strong analytical skills, intellectual curiosity, and structured problem-solving capability. • Ability to synthesize academic research and apply it to practical quantitative problems. Preferred Qualifications • Competition awards (e.g., IMO, IPhO, ACM-ICPC) or top-tier academic achievements. • Publications in peer-reviewed journals or conferences in relevant fields. • Prior experience in quantitative research, trading, or data-intensive environments is a plus. Why This Role? • Research Ownership: Lead projects end-to-end, from alpha discovery to strategy deployment. • Global Exposure: Work with a team across US and Asia offices. • Innovation-First: Access to diverse datasets and a culture of continuous R&D. • Career Growth: Lean teams allow high-impact contributions early in your career.