Point72 is seeking a Quantitative Analyst to join the Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO. The role involves conducting bottoms-up portfolio analysis, developing analytics to quantify skill and risk, and forming top-down views to guide capital allocation. Candidates will build statistical models, quantify market drivers to support pre-trade decisions, and communicate findings to PMs and senior leadership. Strong quantitative programming skills (Python preferred) and experience in equities research, portfolio or risk management are required.
Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO.
PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams.
The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings.
Role and Responsibilities
Conduct bottoms-up analysis on the firm’s portfolios to identify strengths and weaknesses in idea generation, trading, and construction
Form top-down views on which strategies offer the best risk/reward for the firm
Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk
Quantify market drivers to support pre-trade risk taking and decision making
Communicate key findings to the team, PMs, and Co-CIOs
Learn to develop in and contribute back to shared code base, reports, and research tools
Requirements/Qualifications
2 or more years of experience in a quantitative research, portfolio management, or risk management role dealing with equities or equities investments
Undergraduate, MS or Ph.D. in Finance, Computer Science, Mathematics, Engineering, or Physics, or other quantitative discipline
Experience with statistical models and essential methods of quantitative finance
Some level of proficiency in quantitative programming (Python preferred)
Highly analytical
Good interpersonal skills
Detail-oriented
Self-starter
Ability to work cooperatively in a team-oriented, fast-paced environment
A commitment to the highest ethical standards and to act with professionalism and integrity
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 $175,000-$300,000 (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
\n
Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO.
PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams.
The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings.
Role and Responsibilities
\n
Conduct bottoms-up analysis on the firm’s portfolios to identify strengths and weaknesses in idea generation, trading, and construction
Form top-down views on which strategies offer the best risk/reward for the firm
Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk
Quantify market drivers to support pre-trade risk taking and decision making
Communicate key findings to the team, PMs, and Co-CIOs
Learn to develop in and contribute back to shared code base, reports, and research tools
Requirements/Qualifications
\n
2 or more years of experience in a quantitative research, portfolio management, or risk management role dealing with equities or equities investments
Undergraduate, MS or Ph.D. in Finance, Computer Science, Mathematics, Engineering, or Physics, or other quantitative discipline
Experience with statistical models and essential methods of quantitative finance
Some level of proficiency in quantitative programming (Python preferred)
Highly analytical
Good interpersonal skills
Detail-oriented
Self-starter
Ability to work cooperatively in a team-oriented, fast-paced environment
A commitment to the highest ethical standards and to act with professionalism and integrity
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 $175,000-$300,000 (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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Point72 is seeking a Quantitative Analyst to join the Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO. The role involves conducting bottoms-up portfolio analysis, developing analytics to quantify skill and risk, and forming top-down views to guide capital allocation. Candidates will build statistical models, quantify market drivers to support pre-trade decisions, and communicate findings to PMs and senior leadership. Strong quantitative programming skills (Python preferred) and experience in equities research, portfolio or risk management are required.
Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO.
PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams.
The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings.
Role and Responsibilities
Conduct bottoms-up analysis on the firm’s portfolios to identify strengths and weaknesses in idea generation, trading, and construction
Form top-down views on which strategies offer the best risk/reward for the firm
Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk
Quantify market drivers to support pre-trade risk taking and decision making
Communicate key findings to the team, PMs, and Co-CIOs
Learn to develop in and contribute back to shared code base, reports, and research tools
Requirements/Qualifications
2 or more years of experience in a quantitative research, portfolio management, or risk management role dealing with equities or equities investments
Undergraduate, MS or Ph.D. in Finance, Computer Science, Mathematics, Engineering, or Physics, or other quantitative discipline
Experience with statistical models and essential methods of quantitative finance
Some level of proficiency in quantitative programming (Python preferred)
Highly analytical
Good interpersonal skills
Detail-oriented
Self-starter
Ability to work cooperatively in a team-oriented, fast-paced environment
A commitment to the highest ethical standards and to act with professionalism and integrity
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 $175,000-$300,000 (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
\n
Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO.
PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams.
The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings.
Role and Responsibilities
\n
Conduct bottoms-up analysis on the firm’s portfolios to identify strengths and weaknesses in idea generation, trading, and construction
Form top-down views on which strategies offer the best risk/reward for the firm
Invent new analytics to quantify skill and frameworks to support trade-offs between different sources of skill and risk
Quantify market drivers to support pre-trade risk taking and decision making
Communicate key findings to the team, PMs, and Co-CIOs
Learn to develop in and contribute back to shared code base, reports, and research tools
Requirements/Qualifications
\n
2 or more years of experience in a quantitative research, portfolio management, or risk management role dealing with equities or equities investments
Undergraduate, MS or Ph.D. in Finance, Computer Science, Mathematics, Engineering, or Physics, or other quantitative discipline
Experience with statistical models and essential methods of quantitative finance
Some level of proficiency in quantitative programming (Python preferred)
Highly analytical
Good interpersonal skills
Detail-oriented
Self-starter
Ability to work cooperatively in a team-oriented, fast-paced environment
A commitment to the highest ethical standards and to act with professionalism and integrity
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 $175,000-$300,000 (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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