About the role

Aplyr's Quick Take

This role is about developing and maintaining software for trading systems, focusing on automation and data management. It's primarily an individual contributor position that requires strong programming skills, particularly in Python, and familiarity with quantitative finance concepts.

Good fit

Ideal candidates have a background in computer science or a related STEM field, with several years of experience in software development and quantitative analysis. A collaborative, detail-oriented working style will help thrive in this fast-paced environment.

Worth noting

The role emphasizes a strong ethical commitment, which is crucial in finance. Candidates with experience in core Python libraries or trading systems will stand out, but the spec is vague on specific team dynamics or growth opportunities.

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.

RESPONSIBILITIES:

Building components for both live trading and simulation
Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards
Maintaining and updating the platform, ensuring its stability, robustness, and security
Developing robust data checking and storage procedures
Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements

REQUIREMENTS:

Bachelor’s degree or higher in computer science or other STEM discipline
Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax)
Proficiency with Linux
Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful
Proficiency with C/C++ is a plus
Experience with designing and implementing trading systems is a plus
Commitment to the highest ethical standards

Skills & Tags

python go machine learning ai data 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.