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Quantitative Researcher, Trading Research

at Point72

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Hedge Funds

Quantitative Researcher, Trading Research

at Point72

JuniorNo visa sponsorshipData Science/AI/ML

Posted 18 hours ago

No clicks

Compensation
$125,000 – $200,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Quantitative Researcher on the Trading Research team responsible for researching and developing in-house trading strategies and conducting quantitative market microstructure research. Develops and maintains predictive models to optimize trade execution and minimize transaction costs using linear and non-linear techniques. Collaborates with portfolio managers and cross-functional teams to design and implement trading solutions and stays current on changes in market microstructure. Requires a master’s degree or higher, a minimum of 2 years of quantitative research experience, and proficiency in Python and C++ (AWS preferred).

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Quantitative Researcher, Trading Research Career
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P72 Careers - Header
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What We Do
Learn about the strategies and asset classes that make up our global business.
Our Values
See how we support our people, communities, and the planet through our ESG efforts.
Leadership
Meet the team responsible for shaping our firm.
Locations
Find us in financial hubs across the globe as we pursue the world’s best talent.
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Quantitative Researcher, Trading Research

Apply Now
Experience

Experienced Professionals

Location

New York

Focus

Trading Research

Business

Point72

Role/Responsibilities

  • Research and develop in-house trading strategies, used by both discretionary and quantitative traders.
  • Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
  • Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques.
  • Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
  • Stay current and report on changes in market microstructure.

Requirements

  • Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
  • A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
  • Solid understanding of market impact.
  • Proficiency in programming languages such as Python and C++. Experience in AWS is preferred.
  • Strong knowledge in macro products, including FX and bonds, is a plus.
  • 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 $125,000-$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.


Apply Now

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P72 Careers - Footer
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Role/Responsibilities

\n
  • Research and develop in-house trading strategies, used by both discretionary and quantitative traders.
  • Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
  • Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques.
  • Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
  • Stay current and report on changes in market microstructure.

Requirements

\n
  • Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
  • A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
  • Solid understanding of market impact.
  • Proficiency in programming languages such as Python and C++. Experience in AWS is preferred.
  • Strong knowledge in macro products, including FX and bonds, is a plus.
  • Commitment to the highest ethical standards.

About Point72

\n

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 $125,000-$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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Quantitative Researcher, Trading Research

at Point72

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Hedge Funds

Quantitative Researcher, Trading Research

at Point72

JuniorNo visa sponsorshipData Science/AI/ML

Posted 18 hours ago

No clicks

Compensation
$125,000 – $200,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Quantitative Researcher on the Trading Research team responsible for researching and developing in-house trading strategies and conducting quantitative market microstructure research. Develops and maintains predictive models to optimize trade execution and minimize transaction costs using linear and non-linear techniques. Collaborates with portfolio managers and cross-functional teams to design and implement trading solutions and stays current on changes in market microstructure. Requires a master’s degree or higher, a minimum of 2 years of quantitative research experience, and proficiency in Python and C++ (AWS preferred).

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Quantitative Researcher, Trading Research Career
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Quantitative Researcher, Trading Research

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Experience

Experienced Professionals

Location

New York

Focus

Trading Research

Business

Point72

Role/Responsibilities

  • Research and develop in-house trading strategies, used by both discretionary and quantitative traders.
  • Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
  • Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques.
  • Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
  • Stay current and report on changes in market microstructure.

Requirements

  • Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
  • A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
  • Solid understanding of market impact.
  • Proficiency in programming languages such as Python and C++. Experience in AWS is preferred.
  • Strong knowledge in macro products, including FX and bonds, is a plus.
  • 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 $125,000-$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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Role/Responsibilities

\n
  • Research and develop in-house trading strategies, used by both discretionary and quantitative traders.
  • Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
  • Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques.
  • Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
  • Stay current and report on changes in market microstructure.

Requirements

\n
  • Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
  • A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
  • Solid understanding of market impact.
  • Proficiency in programming languages such as Python and C++. Experience in AWS is preferred.
  • Strong knowledge in macro products, including FX and bonds, is a plus.
  • Commitment to the highest ethical standards.

About Point72

\n

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 $125,000-$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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