Point72 is seeking a Quantitative Researcher for its Fund Flow Research team to develop systematic trading strategies and signals using proprietary flow and positioning datasets for macro and equity markets. The role covers end-to-end applied research including idea generation, hypothesis testing, portfolio construction, risk and transaction cost modeling, and P&L attribution. The researcher will handle large datasets (AWS/Python), monitor and improve live trading P&L, and collaborate with PMs, analysts, and strategists to improve PM-facing content.
Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.
Responsibilities:
Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets
Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning
Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution
Monitor, analyze and improve live trading P&L
Collaborate with analysts and strategists to improve PM-facing content
Requirements:
Undergraduate, Master’s or PhD candidates in a technical field
Demonstrated creativity and rigor in the research process
Technically comfortable handling large datasets stored in AWS using Python
Collaborative mindset
Passion for research and financial markets
Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
Commitment to the highest ethical standards
The annual base salary range for this role is $150,000-$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:
\n
Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.
Responsibilities:
\n
Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets
Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning
Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution
Monitor, analyze and improve live trading P&L
Collaborate with analysts and strategists to improve PM-facing content
Requirements:
\n
Undergraduate, Master’s or PhD candidates in a technical field
Demonstrated creativity and rigor in the research process
Technically comfortable handling large datasets stored in AWS using Python
Collaborative mindset
Passion for research and financial markets
Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
Commitment to the highest ethical standards
The annual base salary range for this role is $150,000-$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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Point72 is seeking a Quantitative Researcher for its Fund Flow Research team to develop systematic trading strategies and signals using proprietary flow and positioning datasets for macro and equity markets. The role covers end-to-end applied research including idea generation, hypothesis testing, portfolio construction, risk and transaction cost modeling, and P&L attribution. The researcher will handle large datasets (AWS/Python), monitor and improve live trading P&L, and collaborate with PMs, analysts, and strategists to improve PM-facing content.
Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.
Responsibilities:
Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets
Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning
Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution
Monitor, analyze and improve live trading P&L
Collaborate with analysts and strategists to improve PM-facing content
Requirements:
Undergraduate, Master’s or PhD candidates in a technical field
Demonstrated creativity and rigor in the research process
Technically comfortable handling large datasets stored in AWS using Python
Collaborative mindset
Passion for research and financial markets
Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
Commitment to the highest ethical standards
The annual base salary range for this role is $150,000-$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:
\n
Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.
Responsibilities:
\n
Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets
Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning
Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution
Monitor, analyze and improve live trading P&L
Collaborate with analysts and strategists to improve PM-facing content
Requirements:
\n
Undergraduate, Master’s or PhD candidates in a technical field
Demonstrated creativity and rigor in the research process
Technically comfortable handling large datasets stored in AWS using Python
Collaborative mindset
Passion for research and financial markets
Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
Commitment to the highest ethical standards
The annual base salary range for this role is $150,000-$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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