Quantitative Researcher

Millennium; Hong Kong; On-site; HKD 600,000 - 800,000; Full time

Job summary

Millennium in Hong Kong is seeking a talented Quantitative Researcher to join their systematic trading team. The successful candidate will develop innovative quantitative investment models and machine learning algorithms while leveraging mathematical tools to optimize trades.

The ideal applicant holds a degree in a quantitative discipline and possesses strong programming skills with a disciplined scientific approach to tackling real-world problems.

Qualifications

• Degree in statistics, mathematics, physics, electrical engineering, or computer science.
• Strong programming skills in at least one language like Python, C++, or Java.
• Experience in analyzing real-world problems using a scientific approach.

Responsibilities

• Develop quantitative investment models using a disciplined scientific approach.
• Research novel machine learning algorithms for the trading strategy.
• Analyze and optimize trades using mathematical tools.

Skills

Mathematical tools

Programming (Python, C++, Java)

Machine learning

Scientific approach

Education

Undergraduate/Master's/Doctorate in quantitative disciplines

Job description

Job Description: Quantitative Researcher

Job Function Summary

We are a systematic trading team dedicated to building a machine‑driven investment pipeline that can tackle problems of scale far beyond the reach of traditional systems. Even though we are operating in the financial industry, we are committed to pushing the boundary of human knowledge in related fields such as mathematics, statistics, and machine learning in order to achieve our mission.

We are looking for a talented quantitative researcher to join our team. Successful candidate should be capable of developing novel techniques, building unique insights, and making robust systems that will be used in our strategy. One must be able to combine strong technical skills, a passion for creative problem solving, and an intense curiosity about financial markets, science, and human behavior.

Principal Responsibilities

• Use disciplined scientific approach to develop quantitative investment models
• Research and develop novel machine learning algorithms
• Develop automated investment models based on peer‑reviewed research papers
• Develop unique insights into various datasets
• Use mathematical tools to analyze and optimize trades
• Quantitatively measure and control risk of portfolio
• Apply scientific methods to improve efficiency of trading pipeline

Qualifications/Skills Required

• Undergraduates, Masters or doctorate degree in quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science
• Capable of utilizing sophisticated mathematical tools and generalizing it to different contexts
• Strong programming skill in at least one programming language (like Python, C++, or Java)
• Experience analyzing real world problems with disciplined scientific approach
• Capable of following state‑of‑the‑art machine learning and statistics research with no guidance
• Curiosity driven mindset with ability to explore uncharted territory
• Highly motivated and willing to take ownership of work