About the role

Aplyr's Quick Take

This role is for a quantitative researcher focused on developing and analyzing trading strategies using data. You'll be conducting original research, managing the research process, and generating trading ideas based on market anomalies. It's an individual contributor position requiring strong analytical and programming skills.

Good fit

Ideal candidates have at least 2 years of experience in equity research and hold an advanced degree in a quantitative field. You should be detail-oriented, able to work independently, and comfortable with programming in R, Python, or C++.

Worth noting

The role offers access to extensive research resources and a collaborative environment, but it may be highly selective and competitive given the emphasis on rigorous research and alpha signal discovery.

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

The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance.

RESPONSIBILITIES

Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas.
Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization.
Maintaining and improving portfolio trading in production environments.

REQUIREMENTS

Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline.
2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus.
Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning.
Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas.
Ability to work both independently and collaboratively within a team.
Commitment to the highest ethical standards.

Skills & Tags

python go machine learning ai ios data product design

Aplyr's read

Point72 is a global asset management firm known for its multi-strategy investing and rigorous analyst programs, attracting driven professionals in finance and technology.
Synthesized from recent postings & public sources

What's promising

•Point72's multi-strategy approach offers diverse investment exposure and learning opportunities.
•The firm invests heavily in technology, providing cutting-edge tools for employees.
•Point72 Academy programs are renowned for developing top-tier investment professionals.

What to watch

•The firm's high-performance culture may lead to intense work pressure.
•Regulatory scrutiny is a constant concern due to past controversies.
•Limited public information about work-life balance and employee satisfaction.

Why Point72

•Point72 manages the personal capital of founder Steven A. Cohen.
•The firm combines traditional and quantitative strategies in its investment approach.
•Point72 offers specialized roles in macro technology and quantitative analysis.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Point72

Point72

point72.com

View company

Point72 Asset Management is a global asset management firm that manages the capital of its founder, Steven A. Cohen, and certain employees. The firm employs a multi-strategy approach to investing, focusing on long/short equity, macroeconomic trends, and quantitative strategies.