Quantitative Investment Internship — Summer

Capstone Investment Advisors

New York (NY)

Sur place

USD 40 000 - 55 000

Temps partiel

14 jours+

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Un CV et une lettre de motivation personnalisés, prêts à envoyer.

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Résumé du poste

Capstone Investment Advisors offers a 10-week Summer Internship designed to provide practical exposure to the firm’s investment activities and working environment. Interns will support an investment pod and work on a defined project addressing a real business need.

Ideal candidates are intellectually curious, analytical, and motivated with a demonstrated interest in financial markets. Exposure may include investment research, market analysis, and automation, with pod placements varying by

Qualifications

  • Enrollment in a bachelor’s or master’s degree program in Economics, Econometrics, Finance, Applied Mathematics, Statistics, or related field.
  • Proficiency in Python and/or Java for data analysis and quantitative work.
  • Strong learning agility and intellectual curiosity for a collaborative environment.
  • Clear written and verbal communication skills.
  • Professional, accountable approach aligned with firm culture and values.

Responsabilités

  • Support an investment pod and complete a defined project.
  • Exposure to investment research, market analysis, quantitative methods, and automation.
  • Placement and project scope vary by business needs and location.

Connaissances

Python
Java
Quantitative analysis
Written and verbal communication
Team collaboration

Formation

Bachelor's or Master's in a quantitative discipline

Description du poste

Capstone Investment Advisors offers a 10-week Summer Internship designed to provide practical exposure to the firm’s investment activities and working environment. Interns will support an investment pod and work on a defined project addressing a real business need.

Ideal candidates are intellectually curious, analytical, and motivated with a demonstrated interest in financial markets. Exposure may include investment research, market analysis, and automation, with pod placements varying by

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