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.