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Hedge Funds
Macro Quantitative Researcher
at Point72
JuniorNo visa sponsorshipData Science/AI/ML
Posted 20 hours ago
No clicks
- Compensation
- $150,000 – $250,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
You will perform rigorous research to develop systematic macro signals across futures, FX, and related markets, working from intraday to daily horizons. The role involves feature engineering on price-volume, order book and alternative data, building models ranging from linear methods to machine learning, and monetizing signal combinations. You will manage the end-to-end research pipeline—idea generation, data processing, backtesting, and production implementation—while collaborating with a team that provides cutting-edge research and trading infrastructure.
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Macro Quantitative Researcher Career
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Macro Quantitative Researcher
Apply Now
Experience
Experienced Professionals
Location
New York
Focus
Systematic Investing
Business
Point72
Role/Responsibilities
- Perform rigorous and innovative research to develop systematic signals for global macro (Futures, FX, etc.) markets
- Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in high to mid frequency trading space
- Perform feature combination and monetization using various modeling techniques ranging from linear to machine learning models
- Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
- Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
Requirements
- MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
- 2+ years of signal research experience in macro trading as part of a proprietary trading team
- 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
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
The annual base salary range for this role is $150,000-$250,000 (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.
Apply Now
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Role/Responsibilities
\n- Perform rigorous and innovative research to develop systematic signals for global macro (Futures, FX, etc.) markets
- Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in high to mid frequency trading space
- Perform feature combination and monetization using various modeling techniques ranging from linear to machine learning models
- Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
- Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
Requirements
\n- MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
- 2+ years of signal research experience in macro trading as part of a proprietary trading team
- 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
About Point72
\nPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
The annual base salary range for this role is $150,000-$250,000 (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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Macro Quantitative Researcher
at Point72
Back to all Data Science / AI / ML jobs
Hedge Funds
Macro Quantitative Researcher
at Point72
JuniorNo visa sponsorshipData Science/AI/ML
Posted 20 hours ago
No clicks
- Compensation
- $150,000 – $250,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
You will perform rigorous research to develop systematic macro signals across futures, FX, and related markets, working from intraday to daily horizons. The role involves feature engineering on price-volume, order book and alternative data, building models ranging from linear methods to machine learning, and monetizing signal combinations. You will manage the end-to-end research pipeline—idea generation, data processing, backtesting, and production implementation—while collaborating with a team that provides cutting-edge research and trading infrastructure.
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P72 Careers - Header
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Macro Quantitative Researcher
Apply Now
Experience
Experienced Professionals
Location
New York
Focus
Systematic Investing
Business
Point72
Role/Responsibilities
- Perform rigorous and innovative research to develop systematic signals for global macro (Futures, FX, etc.) markets
- Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in high to mid frequency trading space
- Perform feature combination and monetization using various modeling techniques ranging from linear to machine learning models
- Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
- Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
Requirements
- MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
- 2+ years of signal research experience in macro trading as part of a proprietary trading team
- 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
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
The annual base salary range for this role is $150,000-$250,000 (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.
Apply Now
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Role/Responsibilities
\n- Perform rigorous and innovative research to develop systematic signals for global macro (Futures, FX, etc.) markets
- Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in high to mid frequency trading space
- Perform feature combination and monetization using various modeling techniques ranging from linear to machine learning models
- Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
- Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
Requirements
\n- MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
- 2+ years of signal research experience in macro trading as part of a proprietary trading team
- 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
About Point72
\nPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
The annual base salary range for this role is $150,000-$250,000 (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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