Cubist Quantitative Researcher

Point72; Hong Kong; On-site; HKD 70,000 - 110,000; Full time

Job summary

Dormont Manufacturing Co is looking for an experienced researcher at our Hong Kong research center. The successful candidate will conduct original quantitative alpha signal research and manage various aspects of the research process, ensuring the delivery of high-quality insights that drive our investment decisions.

We require a Ph.D. or M.S. in a quantitative discipline and at least 2 years of experience in Equities. Familiarity with programming languages like R, Python, or C++, as well as SQL, is preferred.

Qualifications

• 2+ years of research experience in Equities.
• Demonstrated ability to apply new methodologies to alpha generation.
• Strong desire to deliver high-quality results.

Responsibilities

• Conduct original quantitative alpha signal research.
• Manage all aspects of the research process including trading idea generation.
• Evaluate new datasets for alpha potential.

Skills

Quantitative analysis

Data analysis

Programming in R

Programming in Python

Programming in C++

SQL

Education

Ph.D. or M.S. in a 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

Our research center in Hong Kong is seeking an experienced researcher with a strong background in alpha research. In this highly selective role you will have access to abundant research resources and exciting opportunities to discover high quality alpha signals that directly drive our investment decisions.

Responsibilities

• Conduct original quantitative alpha signal research
• Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code
• Evaluate new datasets for alpha potential
• Follow, digest, analyze and improve upon the latest academic research

Desirable Candidates

• 2+ years of research experience in Equities.
• Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline.
• Programming in any of the following: R, Python, or C++.
• Experience with SQL.
• Demonstrated ability to learn and apply new methodologies to alpha generation.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• Detail-oriented.
• Willingness to take ownership of his/her work.