Role:
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 Masters 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
Required Experience:
IC
Role: 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 a...
Role:
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 Masters 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
Required Experience:
IC
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