Quantitative Researcher (Summer Internship)

Balyasny; Hong Kong; On-site; HKD 279,000 - 391,000; Full time

Job summary

Balyasny in Hong Kong is seeking a Quantitative Researcher Summer Intern to identify alpha ideas, work with large datasets, and contribute to research and tooling.

You will conduct independent research, implement trading ideas, and collaborate with teams to improve models and processes. Applicants should be pursuing a degree in CS/Math/Statistics with strong Python/SQL skills and a proactive, detail-oriented mindset.

Qualifications

• Bachelor's degree or above in Computer Science, Mathematics, and/or Statistics.
• Strong analytics and data processing skills with large datasets.
• Proficient in Python and SQL programming.
• Experience with quantitative research and modeling is a plus.

Responsibilities

• Conduct independent quantitative research on alpha ideas and datasets.
• Develop insights for risk modelling, portfolio construction, and trade execution.
• Improve efficiency of existing systems and tools used by the team.

Skills

Python

SQL

Mathematics & Statistics

Data Analysis

AI Agent Tools

Education

Bachelor's degree in Computer Science/Math/Statistics

Job description

Quantitative Researcher (Summer Internship)

Our team aims to continuously improve our quantitative investment strategies by identifying new sources of alpha, enhancing our existing alphas, improving the monetization of our alphas, and developing libraries and tools to facilitate research and analysis.We are looking for someone who is enthusiastic about conducting quantitative research and is willing to put forth the time and energy to understand new market dynamics and large alternative datasets.

RESPONSIBILITIES

• Conduct independent research on various quantitative alpha ideas and new datasets, and help develop trading strategies
• Conduct quantitative research and analysis on systematic investment process. Develop insights and provide actionable recommendations for risk modelling, portfolio construction, and trade execution
• Improve efficiency of existing systems and tools used by the team

QUALIFICATIONS & REQUIREMENTS

• Bachelor's degree or above in Computer Science, Mathematics, and/or Statistics.(Full time for 2027 summer & part-time off cycle for 2026 Sep – Dec, 40 hours a week)
• Strong analytical and data processing skills. Experience working with large datasets is strongly preferred
• Strong programming skills in Python and SQL
• Strong applied mathematics and statistics skills; ability to derive formulas rigorously and apply mathematical reasoning to solve real-world problems from first principles
• Proficient in leveraging AI agent tools to accelerate and optimize large-scale coding and research tasks; experience coordinating multiple AI agents as a collaborative team is a plus
• First-principles thinker — approaches problems across mathematics, coding, and markets by reasoning from the ground up rather than relying on convention
• Self-starter, results-driven attitude with a great desire to learn
• Strong communication skills, outstanding attention to detail