Fund Flow Quantitative Researcher

Point72 Asset Management, L.P; New York (NY); Sur place; USD 150 000 - 200 000; Plein temps

Résumé du poste

A leading asset management firm in New York is seeking a Quantitative Researcher to join its Fund Flow Research team. The role involves developing systematic trading strategies and conducting thorough research using proprietary datasets. Ideal candidates will have a strong technical background, especially in handling large datasets with Python, and a passion for financial markets. This position offers a competitive salary range of $150,000-$200,000, along with a comprehensive benefits package and potential bonuses.

Qualifications

• Candidates with a technical background in quantitative research.
• Ability to work with large datasets and analyze them effectively.
• Strong collaboration skills with a passion for finance.

Responsabilités

• Develop systematic trading strategies for macro and equity markets.
• Conduct applied research to create systematic signals.
• Contribute to research and production processes.
• Monitor and improve live trading performance.

Connaissances

Creativity in research

Handling large datasets

Collaborative mindset

Attention to detail

Formation

Undergraduate, Master’s or PhD in a technical field

Outils

Python

AWS

Description du poste

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, 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.