Quantitative Research Analyst - Hybrid, Python & AI Tools

Glenmede Trust Co

Philadelphia (Philadelphia County)

Hybrid

USD 90,000 - 130,000

Full time

11 days ago

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Benefits offered by this job

Health benefits
401k match
Parental leave
Tuition reimbursement
Commuter benefits
Paid time off

Job summary

The Glenmede Trust Company, N.A. is seeking a Quantitative Research Analyst in Philadelphia to join Glenmede Investment Management’s quantitative equity team. You will develop and maintain multi-factor stock selection models, perform data-driven research, and prepare reports to support strategies and portfolio decisions.

The role emphasizes collaboration, rigorous analysis, and applying AI and programming skills to enhance investment processes across client portfolios.

Qualifications

  • Bachelor’s degree in a computational or analytical field is required.
  • 0–5 years of experience in investment analysis and data management.

Responsibilities

  • Quantitative data development.
  • Maintaining and reoptimizing multi-factor stock selection models.
  • Preparing reports and charts.
  • Performing quantitative research and analysis to support new and existing strategies, including factor research.
  • Developing quantitative investment tools and exploring AI applications.
  • Assisting investment teams in department-wide initiatives to expand capabilities and improve client experience.

Skills

Python
Data analysis
Communication

Education

Bachelor’s degree in a computational or analytical field

Tools

Northfield
Barra
Axioma
MATLAB
FactSet
Bloomberg
Charles River

Job description

The Glenmede Trust Company, N.A. is seeking a Quantitative Research Analyst in Philadelphia to join Glenmede Investment Management’s quantitative equity team. You will develop and maintain multi-factor stock selection models, perform data-driven research, and prepare reports to support strategies and portfolio decisions.

The role emphasizes collaboration, rigorous analysis, and applying AI and programming skills to enhance investment processes across client portfolios.

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