Cubist Quantitative Researcher Intern

Point72; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, seeks a quantitative research support role to assist full-time researchers; you will help with data collection, replication of studies, and early analysis to inform investment ideas.

Ideal candidates are PhD students in quantitative fields with programming experience in Python, R, or C++, and SQL; strong analytical skills, ownership, and ability to work independently and in teams.

Qualifications

• Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline.
• Programming in Python, R, or C++.
• Experience with SQL.
• Solid research experience in 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 work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.

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.

Skills

Analytical skills

Education

PhD in finance or quantitative field

Tools

Python

C++

R

SQL

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

DESIRABLE CANDIDATES

• 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.