About the role

Aplyr's Quick Take

This role is for a Quantitative Researcher focused on developing mid-frequency trading strategies in equities. You'll be doing hands-on research, data analysis, and strategy implementation as part of a new portfolio management team. It's an individual contributor role with a strong emphasis on innovation and collaboration.

Good fit

Ideal candidates are recent graduates with an MS or PhD in a quantitative field and some familiarity with data science. A curious and motivated mindset, along with strong Python skills, will help you thrive here.

Worth noting

This position offers the chance to be involved in the early stages of a product launch, which could be a unique opportunity for those looking to make a significant impact. The company does not require prior financial market experience, which may appeal to candidates from diverse backgrounds.

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/RESPONSIBILITIES

Perform rigorous and innovative research to discover systematic anomalies in global macro markets (futures, FX, etc.)
Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in mid frequency trading space
Perform feature combination and monetization using various modeling techniques
Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
Maintain and improve portfolio trading in a production environment
Contribute to the analysis framework for scalable research

REQUIREMENTS

Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics
2-6 years of signal research experience in macro trading as part of a trading team
Specialization in swaps, fixed income, or commodities trading a plus.
Prior professional experience with feature engineering, modeling, or monetization
Ability to efficiently format and manipulate large, raw data sources
Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas
Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques
Collaborative mindset with strong independent research abilities
Commitment to the highest ethical standards

Skills & Tags

python go machine learning 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.