About the role

Aplyr's Quick Take

This is an entry-level quantitative researcher role focused on developing predictive models for systematic trading. You'll conduct original research, analyze data, and contribute to trading strategies in a collaborative environment. It's primarily an individual contributor role with a strong emphasis on analytical skills and programming.

Good fit

Ideal candidates are recent graduates or early-career professionals with a background in quantitative fields like finance, mathematics, or data science. You should be detail-oriented, self-motivated, and comfortable working both independently and in a team.

Worth noting

No prior experience in finance is required, making it accessible for new graduates. The role emphasizes a commitment to ethical standards, which could be a plus for candidates valuing integrity in finance.

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

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

Conduct original quantitative alpha signal research
Follow, digest and analyze the latest academic research
Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
Build analytical tools to supplement our shared research framework

REQUIRMENTS

B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
Programming in Python (or comparable language) and working knowledge of SQL
Strong analytical and quantitative skills.
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.
Detail-oriented.
Prior experience in the financial services industry is not required.
A commitment to the highest ethical standards.

Skills & Tags

python go ai data

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

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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.