**Quantitative Researcher / Trader (APAC) | Tier 1 Hedge Fund

BAH Partners; Hong Kong; On-site; HKD 600,000 - 1,200,000; Full time

Job summary

BAH Partners in Hong Kong is seeking an experienced quantitative researcher to develop predictive signals and work across a global research platform. You will learn from colleagues, collaborate across desks and contribute to ongoing growth.

You will gain visibility across the full research cycle, from signal generation to implementation, with room to learn, contribute and grow in a thriving, high-performing team.

Qualifications

• Advanced degree in data science, statistics, mathematics, physics, engineering or related quantitative field.
• Programming proficiency in Python, R, MATLAB, C++ or C#.
• Strong attention to detail and ability to manage multiple priorities in a fast-paced environment.
• Knowledge of statistics, machine learning, NLP or AI, and experience exploring large datasets across multiple time frames.

Responsibilities

• Develop predictive signals across large, diverse datasets.
• Share research findings, methodologies and ideas with researchers globally.
• Implement signals and datasets within the global execution platform and monitor model performance.
• Gain visibility across the full research cycle, from signal generation through to implementation.

Skills

Python

R

MATLAB

C++

C#

Education

Advanced degree in data science or related quantitative field

Job description

Join a high-performing global systematic investment firm delivering excellent returns, with a stable platform, continued growth and a culture people love.

This is an exciting opportunity to develop your research, learn from talented colleagues and broaden your exposure, with collaboration and knowledge sharing across desks.

The role:

• Develop predictive signals, identifying statistical patterns across large, diverse datasets.
• Share research findings, methodologies and ideas with researchers globally.
• Implement signals and datasets within the global execution platform and monitor model performance.
• Gain visibility across the full research cycle, from signal generation through to implementation.

What we’re looking for:

• An advanced degree in data science, statistics, mathematics, physics, engineering or a related quantitative field.
• Programming proficiency in Python, R, MATLAB, C++ or C#.
• Strong attention to detail and the ability to manage multiple priorities in a fast-paced environment.
• Knowledge of statistics, machine learning, NLP or AI, and experience exploring large datasets across multiple time frames, would be advantageous.

Plenty of room to learn, contribute and grow within a thriving firm.

This position requires professional experience and is not open to students or fresh graduates.

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