About the role

Aplyr's Quick Take

This role is about analyzing data and developing features for systematic trading models within an investment team. You'll collaborate with quantitative researchers and focus on transforming raw data into actionable insights. It's primarily an individual contributor role with potential for growth into more senior positions.

Good fit

Ideal candidates have a strong quantitative background, possibly with a degree in finance, mathematics, or data science, and experience in data analysis, particularly in finance. A detail-oriented, proactive approach and the ability to work both independently and in a team will help you thrive here.

Worth noting

The role offers a clear path for career advancement within the trading pipeline, which is a plus for those looking to grow in the finance sector. However, the emphasis on ethical standards suggests a high-stakes environment that may not suit everyone.

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

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
Generate novel ideas for enhanced proprietary data products.
Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
Transform firm approved raw datasets into robust features for our systematic models.
Build analytical tools to supplement our shared research framework.

Requirements

BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
Programming in Python (or a comparable language) and working knowledge of SQL.
Strong analytical and quantitative skills.
Willingness to take ownership of their work.
Ability to work both independently and collaboratively within a team.
Strong desire to deliver high quality results in a timely fashion.
High attention to detail.
Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
Commitment to the highest ethical standards.

Skills & Tags

python go ai data product

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.