Quantitative Research Analyst

ActusRayPartners Limited; Hong Kong; On-site; HKD 550,000 - 1,100,000; Full time

Job summary

ActusRayPartners Limited in Hong Kong seeks a quantitative researcher to develop and evaluate alpha signals, build scalable data infrastructure and enhance investment research workflows.

You will collaborate with portfolio managers and quantitative developers, apply AI/ML capabilities, and contribute to producing robust, investable strategies using Python, AWS and modern software practices. Bachelor’s in a quantitative field and 0–4 years’ experience preferred.

Qualifications

• Bachelor’s degree in Mathematics, Physics, Quantitative Finance, Statistics, Computer Science or another highly quantitative discipline.
• 0–4 years of relevant full-time experience in quantitative research, data analytics, data engineering or investment research.
• Strong proficiency in Python, with the ability to develop reliable, maintainable and production-oriented analytical tools.
• Familiarity with institutional software engineering practices, including version control using Git, unit testing, CI/CD workflows, logging and code review standards.
• Experience with cloud infrastructure, including AWS or comparable platforms, would be advantageous.

Responsibilities

• Develop, research and evaluate alpha signals using a broad range of structured, fundamental, market and alternative datasets.
• Design and maintain scalable, robust data infrastructure to support investment research, portfolio implementation and operational workflows.
• Research, develop and enhance factor optimisation techniques to support portfolio construction and investment decision-making.
• Conduct portfolio risk, performance and attribution analysis to assess exposures, drivers of return and investment outcomes.
• Partner closely with portfolio managers and quantitative developers to translate research insights into investable strategies, supported by modern technology and institutional-grade development practices.
• AI Capability
• Apply AI and machine learning capabilities to enhance signal discovery, research productivity and analytical depth.
• Build and orchestrate AI-enabled agents and research tools that improve the speed, consistency and scalability of the investment research workflow.

Skills

Python

Quantitative research

Data analytics

Machine learning

Education

Bachelor’s degree in a quantitative field

Tools

Git

AWS

CI/CD

Job description

ActusRayPartners is a fast-growing emerging asset management company with strong absolute and risk-adjusted performance. Founded in late 2019 by former Macquarie Bank colleagues, the firm commenced operations in early 2021 and currently has a team of over 40 people. The firm is headquartered in Hong Kong with additional presence in Sydney, Australia.

ActusRayPartners has a collaboration agreement with Sun Hung Kai & Co. Limited, a Hong Kong listed financial services company (86.HK) and we co-locate in their headquarters. The firm’s underlying clients include elite global financial institutions, foundations and endowments, pension (ERISA) funds, private banks, and family offices.

ActusRayPartners was nominated as 1 of 50 “Tomorrow’s Titans” by the Hedge Fund Journal in 2021. Subsequently we have won or been nominated for performance awards, for one or more strategies since 2022.

Our investment process is called Discretionary Probabilistic Investing. Currently we apply this to creating alpha in equity markets across Asia and Europe.We may expand into the Americas in the future and are selectively offering long-only versions of our work.The investment process has a quantitative framework focusing on stock selection, which incorporates a highly differentiated style of discretion, applied across a very large number of positions.

ActusRayPartners aims to deliver an elite level of performance and servicing to its clients. In keeping with this objective, our team members are recognised as leaders in their various fields.

Job Description

• Develop, research and evaluate alpha signals using a broad range of structured, fundamental, market and alternative datasets.
• Design and maintain scalable, robust data infrastructure to support investment research, portfolio implementation and operational workflows.
• Research, develop and enhance factor optimisation techniques to support portfolio construction and investment decision-making.
• Conduct portfolio risk, performance and attribution analysis to assess exposures, drivers of return and investment outcomes.
• Partner closely with portfolio managers and quantitative developers to translate research insights into investable strategies, supported by modern technology and institutional-grade development practices.
• AI Capability
• Apply AI and machine learning capabilities to enhance signal discovery, research productivity and analytical depth.
• Build and orchestrate AI-enabled agents and research tools that improve the speed, consistency and scalability of the investment research workflow.

Qualifications and experience

• Bachelor’s degree or above in Mathematics, Physics, Quantitative Finance, Statistics, Computer Science or another highly quantitative discipline.
• 0–4 years of relevant full-time experience in quantitative research, data analytics, data engineering or investment research, preferably within an investment management firm or hedge fund environment.
• Strong proficiency in Python, with the ability to develop reliable, maintainable and production-oriented analytical tools.
• Familiarity with institutional software engineering practices, including version control using Git, unit testing, CI/CD workflows, logging and code review standards.
• Experience with cloud infrastructure, including AWS or comparable platforms, would be advantageous.

Qualities we look for

• A strong intellectual interest in investing, statistics, data science and technology-enabled research.
• High standards of accuracy, analytical rigour and attention to detail.
• Strong numeracy, structured thinking and a disciplined approach to problem solving.
• Creativity and intellectual curiosity, with the ability to challenge assumptions and identify differentiated perspectives.
• Well organised, efficient and dependable in managing recurring, time-sensitive responsibilities.
• A self-starter and fast learner who is comfortable operating independently while contributing effectively within a team environment.
• Strong work ethic, resilience and commitment to building long-term success.
• Clear, concise and professional communication skills.