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Quantitative Analyst

at Point72

Back to all Python jobs
Point72 logo
Hedge Funds

Quantitative Analyst

at Point72

Mid LevelNo visa sponsorshipPython

Posted 19 hours ago

No clicks

Compensation
$200,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Join Cubist Systematic Strategies as a Quantitative Analyst to perform in-depth portfolio analysis for Equity and Macro PMs, uncovering investment style, risk profile, and portfolio construction drivers. You will present analytics to PMs and management, build proprietary factors on top of conventional risk models, and develop tools to monitor portfolio profiles and macro themes. The role requires collaboration across teams to improve portfolio performance and support capital allocation decisions.

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Quantitative Analyst Career
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Quantitative Analyst

Apply Now
Experience

Early Career

Location

New York

Focus

Systematic Investing

Business

Cubist

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:

  • Conduct in-depth analysis on portfolios for both Equity and Macro PMs to gain insight into their investment style, risk profile, portfolio construction philosophy and market behavior.
  • Engage with PMs to present analytics and research notes from a portfolio analytical perspective and continue refining the research process and deliverables based on collaborations to improve portfolio performance.
  • Communicate key findings on portfolios to Cubist management and counterparties across Point72 to facilitate efficient capital allocations across investment teams.
  • Create proprietary factors on top of conventional risk models to help portfolios navigate different market conditions.
  • Develop analytics tools and applications to monitor portfolio profile and construction features and identify macro themes.

Job Requirements:

  • Graduate degree in quantitative finance, statistics, math, engineering, or computer science.
  • 3+ years of work experience in quantitative finance, including but not limited to research, trading, or risk management. Experience with statistical models is preferred.
  • Proficiency in quantitative programing languages (Python preferred) and experience with database programing language SQL.
  • Team player who is intellectually honest.
  • Strong attention to detail to ensure high quality of deliverables.
  • Intellectual curiosity about analytical findings and desire to drill down to details.
  • Experience with Unix environment is preferred.
  • Commitment to the highest ethical standards. 

The annual base salary range for this role is $200,000-$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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P72 Careers - Footer
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About Cubist:

\n

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:

\n
  • Conduct in-depth analysis on portfolios for both Equity and Macro PMs to gain insight into their investment style, risk profile, portfolio construction philosophy and market behavior.
  • Engage with PMs to present analytics and research notes from a portfolio analytical perspective and continue refining the research process and deliverables based on collaborations to improve portfolio performance.
  • Communicate key findings on portfolios to Cubist management and counterparties across Point72 to facilitate efficient capital allocations across investment teams.
  • Create proprietary factors on top of conventional risk models to help portfolios navigate different market conditions.
  • Develop analytics tools and applications to monitor portfolio profile and construction features and identify macro themes.

Job Requirements:

\n
  • Graduate degree in quantitative finance, statistics, math, engineering, or computer science.
  • 3+ years of work experience in quantitative finance, including but not limited to research, trading, or risk management. Experience with statistical models is preferred.
  • Proficiency in quantitative programing languages (Python preferred) and experience with database programing language SQL.
  • Team player who is intellectually honest.
  • Strong attention to detail to ensure high quality of deliverables.
  • Intellectual curiosity about analytical findings and desire to drill down to details.
  • Experience with Unix environment is preferred.
  • Commitment to the highest ethical standards.

The annual base salary range for this role is $200,000-$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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Quantitative Analyst

at Point72

Back to all Python jobs
Point72 logo
Hedge Funds

Quantitative Analyst

at Point72

Mid LevelNo visa sponsorshipPython

Posted 19 hours ago

No clicks

Compensation
$200,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Join Cubist Systematic Strategies as a Quantitative Analyst to perform in-depth portfolio analysis for Equity and Macro PMs, uncovering investment style, risk profile, and portfolio construction drivers. You will present analytics to PMs and management, build proprietary factors on top of conventional risk models, and develop tools to monitor portfolio profiles and macro themes. The role requires collaboration across teams to improve portfolio performance and support capital allocation decisions.

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Quantitative Analyst Career
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Quantitative Analyst

Apply Now
Experience

Early Career

Location

New York

Focus

Systematic Investing

Business

Cubist

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:

  • Conduct in-depth analysis on portfolios for both Equity and Macro PMs to gain insight into their investment style, risk profile, portfolio construction philosophy and market behavior.
  • Engage with PMs to present analytics and research notes from a portfolio analytical perspective and continue refining the research process and deliverables based on collaborations to improve portfolio performance.
  • Communicate key findings on portfolios to Cubist management and counterparties across Point72 to facilitate efficient capital allocations across investment teams.
  • Create proprietary factors on top of conventional risk models to help portfolios navigate different market conditions.
  • Develop analytics tools and applications to monitor portfolio profile and construction features and identify macro themes.

Job Requirements:

  • Graduate degree in quantitative finance, statistics, math, engineering, or computer science.
  • 3+ years of work experience in quantitative finance, including but not limited to research, trading, or risk management. Experience with statistical models is preferred.
  • Proficiency in quantitative programing languages (Python preferred) and experience with database programing language SQL.
  • Team player who is intellectually honest.
  • Strong attention to detail to ensure high quality of deliverables.
  • Intellectual curiosity about analytical findings and desire to drill down to details.
  • Experience with Unix environment is preferred.
  • Commitment to the highest ethical standards. 

The annual base salary range for this role is $200,000-$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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About Cubist:

\n

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:

\n
  • Conduct in-depth analysis on portfolios for both Equity and Macro PMs to gain insight into their investment style, risk profile, portfolio construction philosophy and market behavior.
  • Engage with PMs to present analytics and research notes from a portfolio analytical perspective and continue refining the research process and deliverables based on collaborations to improve portfolio performance.
  • Communicate key findings on portfolios to Cubist management and counterparties across Point72 to facilitate efficient capital allocations across investment teams.
  • Create proprietary factors on top of conventional risk models to help portfolios navigate different market conditions.
  • Develop analytics tools and applications to monitor portfolio profile and construction features and identify macro themes.

Job Requirements:

\n
  • Graduate degree in quantitative finance, statistics, math, engineering, or computer science.
  • 3+ years of work experience in quantitative finance, including but not limited to research, trading, or risk management. Experience with statistical models is preferred.
  • Proficiency in quantitative programing languages (Python preferred) and experience with database programing language SQL.
  • Team player who is intellectually honest.
  • Strong attention to detail to ensure high quality of deliverables.
  • Intellectual curiosity about analytical findings and desire to drill down to details.
  • Experience with Unix environment is preferred.
  • Commitment to the highest ethical standards.

The annual base salary range for this role is $200,000-$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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