Point72 Fund Flow Analyst

Point72; New York (NY); On-site; USD 80,000 - 120,000; Full time

Job summary

Dormont Manufacturing Co is seeking a Quantitative Analyst to join its Fund Flow Research team. This role involves refining product offerings, contributing to research, and working closely with PMs and analysts to address data needs.

The ideal candidate will possess an undergraduate degree in a technical field, have quant research experience, and be proficient in programming with Python and SQL. This position requires strong communication skills and a commitment to ethical standards.

Qualifications

• Undergraduate degree or higher in a technical field.
• Quant research or development experience at a financial institution.
• Experience working with time series and point in time data.

Responsibilities

• Refine and advance current product offerings.
• Contribute to research efforts formalizing and building new models.
• Assist in daily workflow contributing to internal communications and data production.
• Work with PMs and analysts to answer questions and identify needs.

Skills

Strong programming skills in Python

Strong programming skills in SQL

Quant research or development

Experience working with time series data

Strong written communication skills

Strong verbal communication skills

Education

Undergraduate degree in a technical field

Job description

ROLE

Point72 is looking for a Quantitative Analyst 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

• Refine and advance current product offerings.
• Contribute to research efforts formalizing and building new models.
• Assist in daily workflow contributing to internal communications and data production.
• Work with PMs and analysts to answer questions and identify needs and additional features.

REQUIREMENTS

• Undergraduate degree or higher in a technical field.
• Quant research or development experience at a financial institution.
• Experience working with time series and point in time data.
• Strong programming skills in Python and SQL.
• Strong written and verbal communication skills.
• Passion for research, markets, and problem solving.
• 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.