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Quantitative Researcher, Portfolio Research

at Point72

Back to all Data Science / AI / ML jobs
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Hedge Funds

Quantitative Researcher, Portfolio Research

at Point72

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
$200,000 – $300,000 USD

Currency: $ (USD)

City
New York City
Country
United States

The Quantitative Researcher, Portfolio Research will join a systematic trading team to conduct portfolio optimization, risk factor research, and transaction cost and market impact analysis. You will build consolidated forecasts from individual signals, monitor portfolio performance, and work with engineers to develop portfolio simulation and analysis tools. The role requires mid-frequency trading experience and strong expertise in optimization techniques (mean-variance, risk budgeting), transaction cost models, and real-time portfolio risk monitoring.

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Quantitative Researcher, Portfolio 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, Portfolio Research

Apply Now
Experience

Experienced Professionals

Location

New York

Focus

Systematic Investing

Business

Cubist

Role:

The portfolio researcher role involves:

  • Quantitative portfolio optimization
  • Quantitative risk control and risk factor research
  • Analysis and research on transaction costs and market impact
  • Build consolidated forecasts from individual signals

Responsibilities:

  • Conduct alpha, risk, and transaction cost research
  • Monitor portfolio performance and identify opportunities for alpha research and risk control
  • Work with engineers to build portfolio simulation and analysis tools

Requirements:

  • 3-10 years of experience with mid-frequency trading
  • Deep understanding of portfolio optimization techniques, including:
    • Mean-variance optimization
    • Risk budgeting
    • Transaction cost models
    • Factor-neutral or dollar-neutral construction
  • Demonstrated ability to maintain alpha decay discipline
  • Deep intuition for portfolio-level risks: exposure to style/factor risk (e.g., momentum, value), sector risk, macro risk, and understanding of:
    • Real-time risk monitoring
    • Drawdown control and stop-loss frameworks
    • Scenario analysis / stress testing
  • Strong grasp of data engineering and research infrastructure—can work with our quant researchers and developers
  • Commitment to the highest ethical standards 

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

\n

The portfolio researcher role involves:

  • Quantitative portfolio optimization
  • Quantitative risk control and risk factor research
  • Analysis and research on transaction costs and market impact
  • Build consolidated forecasts from individual signals

Responsibilities:

\n
  • Conduct alpha, risk, and transaction cost research
  • Monitor portfolio performance and identify opportunities for alpha research and risk control
  • Work with engineers to build portfolio simulation and analysis tools

Requirements:

\n
  • 3-10 years of experience with mid-frequency trading
  • Deep understanding of portfolio optimization techniques, including:
    • Mean-variance optimization
    • Risk budgeting
    • Transaction cost models
    • Factor-neutral or dollar-neutral construction
  • Demonstrated ability to maintain alpha decay discipline
  • Deep intuition for portfolio-level risks: exposure to style/factor risk (e.g., momentum, value), sector risk, macro risk, and understanding of:
    • Real-time risk monitoring
    • Drawdown control and stop-loss frameworks
    • Scenario analysis / stress testing
  • Strong grasp of data engineering and research infrastructure—can work with our quant researchers and developers
  • Commitment to the highest ethical standards

The annual base salary range for this role is $200,000-$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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Quantitative Researcher, Portfolio Research

at Point72

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Hedge Funds

Quantitative Researcher, Portfolio Research

at Point72

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
$200,000 – $300,000 USD

Currency: $ (USD)

City
New York City
Country
United States

The Quantitative Researcher, Portfolio Research will join a systematic trading team to conduct portfolio optimization, risk factor research, and transaction cost and market impact analysis. You will build consolidated forecasts from individual signals, monitor portfolio performance, and work with engineers to develop portfolio simulation and analysis tools. The role requires mid-frequency trading experience and strong expertise in optimization techniques (mean-variance, risk budgeting), transaction cost models, and real-time portfolio risk monitoring.

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Quantitative Researcher, Portfolio Research Career
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P72 Careers - Header
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Quantitative Researcher, Portfolio Research

Apply Now
Experience

Experienced Professionals

Location

New York

Focus

Systematic Investing

Business

Cubist

Role:

The portfolio researcher role involves:

  • Quantitative portfolio optimization
  • Quantitative risk control and risk factor research
  • Analysis and research on transaction costs and market impact
  • Build consolidated forecasts from individual signals

Responsibilities:

  • Conduct alpha, risk, and transaction cost research
  • Monitor portfolio performance and identify opportunities for alpha research and risk control
  • Work with engineers to build portfolio simulation and analysis tools

Requirements:

  • 3-10 years of experience with mid-frequency trading
  • Deep understanding of portfolio optimization techniques, including:
    • Mean-variance optimization
    • Risk budgeting
    • Transaction cost models
    • Factor-neutral or dollar-neutral construction
  • Demonstrated ability to maintain alpha decay discipline
  • Deep intuition for portfolio-level risks: exposure to style/factor risk (e.g., momentum, value), sector risk, macro risk, and understanding of:
    • Real-time risk monitoring
    • Drawdown control and stop-loss frameworks
    • Scenario analysis / stress testing
  • Strong grasp of data engineering and research infrastructure—can work with our quant researchers and developers
  • Commitment to the highest ethical standards 

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

\n

The portfolio researcher role involves:

  • Quantitative portfolio optimization
  • Quantitative risk control and risk factor research
  • Analysis and research on transaction costs and market impact
  • Build consolidated forecasts from individual signals

Responsibilities:

\n
  • Conduct alpha, risk, and transaction cost research
  • Monitor portfolio performance and identify opportunities for alpha research and risk control
  • Work with engineers to build portfolio simulation and analysis tools

Requirements:

\n
  • 3-10 years of experience with mid-frequency trading
  • Deep understanding of portfolio optimization techniques, including:
    • Mean-variance optimization
    • Risk budgeting
    • Transaction cost models
    • Factor-neutral or dollar-neutral construction
  • Demonstrated ability to maintain alpha decay discipline
  • Deep intuition for portfolio-level risks: exposure to style/factor risk (e.g., momentum, value), sector risk, macro risk, and understanding of:
    • Real-time risk monitoring
    • Drawdown control and stop-loss frameworks
    • Scenario analysis / stress testing
  • Strong grasp of data engineering and research infrastructure—can work with our quant researchers and developers
  • Commitment to the highest ethical standards

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