Quantitative Researcher - Equity

Principle Partners; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

Principle Partners is collaborating with a top-tier global hedge fund seeking an Equity Quantitative Researcher in Hong Kong. This role involves developing algorithmic trading models with a focus on mid-frequency trading and global statistical arbitrage.

The ideal candidate will possess a Master’s or PhD in a quantitative field and have 5-8 years of relevant experience. Strong Python programming skills and innovative problem-solving abilities are essential. Excellent interpersonal skills will enhance cross-portfolio collaboration.

Qualifications

• Proficient in research and programming skills in Python.
• 5-8 years of experience in a quantitative analysis role.
• Demonstrated creativity in developing and refining trading signals.

Responsibilities

• Collaborate with the Lead Portfolio Manager to develop algorithmic trading models.
• Apply advanced statistical techniques to leverage diverse datasets.
• Engage closely in cross-portfolio collaboration and the trading cycle.

Skills

Python programming

Quantitative analysis

Statistical techniques

Problem-solving

Communication skills

Education

Master’s or PhD in a quantitative field

Job description

We are collaborating with a top-tier global hedge fund that is looking for an Equity Quantitative Researcher to join their team.

Responsibilities

• Collaborate with the Lead Portfolio Manager to develop algorithmic trading models, focusing on concept creation, data collection and evaluation, system building, and simulation testing for algorithmic global stock strategies, with an emphasis on mid-frequency trading strategies, global statistical arbitrage, or Asian market systematic methods.
• Apply robust economic insights and advanced statistical techniques to explore, assess, and leverage diverse datasets to create effective forecasting tools integrated into the trading framework.
• Engage closely with the Lead Portfolio Manager and team members in an open environment, including cross-portfolio collaboration and participation in the entire trading cycle.

Qualifications

• Proficient in research and programming skills in Python
• Master’s or PhD in a quantitative field such as Computational Mathematics, Informatics, Data Analysis, or a related discipline from a prestigious institution.
• Strong logical reasoning and independent problem-solving skills.
• Excellent interpersonal and communication abilities.
• 5-8 years of experience in a quantitative analysis role focusing on mid-to-low frequency stock and/or derivatives strategies, including mid-frequency trading strategies and global statistical arbitrage.
• Proven ability to conduct autonomous research.
• Demonstrated creativity in developing and refining trading signals.