Quantitative Alpha Researcher Intern

Point72; Hong Kong; On-site; HKD 704,225 - 938,967; Full time

Job summary

A leading quantitative investment firm in Hong Kong is seeking Ph.D. candidates for a quantitative alpha research role. You will assist with research and data analysis, while contributing to investment decisions. Ideal candidates will have strong programming skills in R, Python, or C++, alongside a solid background in quantitative disciplines such as finance or statistics. This is a unique opportunity for researchers looking to apply their expertise in the financial services sector.

Qualifications

• Ph.D. candidates in relevant quantitative disciplines.
• Experience with SQL and strong programming skills.
• Detail-oriented with strong analytical capabilities.

Responsibilities

• Provide research assistance to researchers.
• Assist with data collection and analysis.
• Analyze and improve upon the latest academic research.

Skills

Programming in R

Programming in Python

Programming in C++

SQL

Analytical skills

Quantitative skills

Education

Ph.D. in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline

Job description

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required.

Responsibilities

• Provide research assistance to full-time researchers
• Assist with data collection and preliminary analysis
• Follow, digest, analyze and improve upon the latest academic research

Requirements

• Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline.
• Programming in any of the following: R, Python, or C++.
• Experience with SQL.
• Solid research experience in the field of the candidate’s specialty.
• Strong analytical and quantitative skills.
• Detail-oriented.
• Demonstrated ability to learn and apply new methodologies to real life problems.
• Willingness to take ownership of his/her work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Prior experience in the financial services industry is not required.