Quantitative Researcher - Macro
- Pay
- $150,000 – $200,000 per year
- Location
- New York City, NY
- Job type
- Full-time
- Level
- Mid-level
- Education
- Doctorate
- Listed
- 30 days ago
Skills & highlights for this role
- time-series modeling
- regression analysis
- Python
- numpy
- pandas
- scikit-learn
Also useful
- alpha research
- portfolio optimization
- feature engineering
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.
About the role
- 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
Pay and benefits
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.
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.
From Point72's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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More at Point72
All Point72 jobsCommon questions
What is the salary for the Quantitative Researcher - Macro role at Point72?
The Quantitative Researcher - Macro posting at Point72 states compensation of $150,000 – $200,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Point72's official career site.
Where is the Quantitative Researcher - Macro job at Point72 located?
This Quantitative Researcher - Macro position at Point72 is located in New York City, NY. Always check Point72's application page for specific state eligibility or relocation policies.
What qualifications are required for Quantitative Researcher - Macro at Point72?
For the Quantitative Researcher - Macro role, Point72 highlights a doctorate; experience with time-series modeling, regression analysis, Python, numpy, pandas, scikit-learn. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Quantitative Researcher - Macro position at Point72?
This listing links directly to Point72's Greenhouse application page. You can apply directly on Point72's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.