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Quantitative Researcher - Macro

Company:
Point72
Location:
New York, NY
Posted:
May 07, 2025
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Description:

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

Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies. Core focus will be working on mid-frequency alpha strategies.

Job Description

Develop systematic trading models across FX, commodities, fixed income, and equity markets

Alpha idea generation, backtesting, and implementation

Assist in building, maintenance, and continual improvement of production and trading environments

Evaluate new datasets for alpha potential

Improve existing strategies and portfolio optimization

Execution monitoring

Be a core contributor to growing the investment process and research infrastructure of the team

Desirable Candidates

Masters or PhD in mathematics, statistics, physics or other quantitative discipline. PhD in statistics or machine learning is a plus

Experience in quantitative trading, ideally in FX or futures

Experience with alpha research, portfolio construction and optimization

Experience building statistical/technical, fundamental, and data driven signals

Experience synthesizing predictive signals for both cross-sectional and time-series models

Strong experience with data exploration, dimension reduction, and feature engineering

Thorough understanding of and comfort using a variety of regression techniques—including OLS, MLS, Ridge, Lasso, and Bayesian inference—as well as techniques for dealing with errors that can occur, such as auto-correlation and heteroskedasticity

Experience managing and running risk is a strong plus

Proficiency in Python using the machine learning stack—numpy, pandas, scikit-learn, etc.

Creative mindset

Strong time management ability—the ability to manage multiple tasks and deadlines in a fast-paced environment

High degree of drive and energy—must be a self-starter

Ability to work cooperatively with all levels of staff and to thrive in a team-oriented environment

Commitment to the highest ethical standards and who act with professionalism and integrity at all times

The annual base salary range for this role is $150,000-$200,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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