Quantitative Analyst

Conduct quantitative research for systematic and quantamental investment strategies, primarily in US equities, using statistical, econometric, and machine learning techniques 

Integrate macro, sector, and company-level insights into quantitative frameworks 

Design and implement portfolio construction and optimization frameworks, including factor weighting, risk budgeting, and constraint management 

Backtest investment strategies and validate research results, ensuring robustness and out-of-sample reliability 

Conduct liquidity analysis and market impact analysis to support portfolio construction and trading decisions 

Research and implement derivatives hedging strategies, including the use of futures, options, CDS, and other instruments where appropriate 

Build and implement alternative data pipelines, including sourcing, processing, and integration of alternative datasets into research workflows 

Develop research tools, models, and infrastructure to support systematic investment processes 

Work closely with the CIO to translate research into actionable strategies, monitor models, and adjust to changing market conditions 

Bachelor’s degree or higher from a globally recognized top university in quantitative finance, computational finance, statistics, mathematics, physics, computer science, or a related discipline; advanced degree preferred. Candidates with engineering or other quantitative backgrounds should have completed relevant coursework in finance, economics, accounting, or business administration 

relevant experience as a quantitative analyst or researcher, preferably at a leading hedge fund or asset management firm 

Expertise in time-series analysis, statistical modeling, and machine learning techniques 

Experience in factor modeling, portfolio optimization, or equity and multi-asset strategies 

Fundamental mindset with the ability to understand and incorporate macro, sector, and company fundamentals into quantitative work 

Able to discuss investment ideas, evaluate companies and management teams, exchange views with industry participants, and conduct in-depth fundamental research 

Strong programming skills in Python and proficiency with data analysis tools; experience with Bloomberg (BQL, BQuant Enterprise) preferred and C++ a plus 

Strong communication skills with the ability to articulate complex ideas and concepts clearly in both English and Chinese (Mandarin), verbally and in writing 

Eligible to become an SFC Responsible Officer (RO), with relevant industry and management experience to support RO applications. 

Self-starter and strong team player who takes ownership of his or her work, collaborates effectively in a small team, and thrives under pressure in a startup environment 

Patience, resilience, and consistency to build over a long-time horizon with a focus on sustainable alpha generation