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2025 Summer Internship - Quantitative Risk

  • Internship
    Full-time
    Summer Internship
  • Data
    Banking & Finance
  • London
  • Quick Apply

AI generated summary

  • You must be pursuing a degree in Financial Engineering, have Python coding experience, strong communication skills, problem-solving abilities, and familiarity with machine learning is a plus.
  • You will work on a valued project, attend educational sessions with senior leadership, engage in team-building exercises, and present your project at summer's end.

Requirements

  • Pursuing an undergraduate, or master’s degree in Financial Engineering
  • Interest in financial markets
  • Experience in writing Python code (Pandas, NumPy, sklearn, dash, plotly, flask, Django)
  • Strong communication skills both written and verbal
  • Ability to find creative solutions to problems
  • Familiarity with machine learning would be advantageous

Responsibilities

  • - You will be given a project that is both educational and a value add to the business, at the end of the summer you will present your project to the senior leadership team.
  • - Throughout the program you will attend educational sessions given by senior leadership.
  • - We will host team building exercises and encourage relationship building with the firm.
  • - At the end of the summer, we will have a send-off lunch to close out the program and thank you for all your hard work.

FAQs

What is the duration of the internship program?

The 2025 Summer Internship program is a 10-week summer program.

What types of projects will interns work on?

Interns will be given projects that are both educational and provide value to the business, culminating in a presentation to the senior leadership team at the end of the summer.

What educational opportunities are provided during the internship?

Throughout the program, interns will attend educational sessions presented by senior leadership, participate in team-building exercises, and engage in relationship-building activities within the firm.

What qualifications are required for candidates interested in this internship?

Candidates should be pursuing an undergraduate or master’s degree in Financial Engineering, have an interest in financial markets, experience in writing Python code, strong communication skills, the ability to find creative solutions to problems, and familiarity with machine learning is advantageous.

What programming languages and tools should interns be familiar with?

Candidates should have experience in Python, particularly with libraries such as Pandas, NumPy, sklearn, Dash, Plotly, Flask, and Django.

Are there any specific soft skills that are emphasized for this internship role?

Yes, strong communication skills, both written and verbal, as well as the ability to find creative solutions to problems, are emphasized for this role.

Is there a final event at the end of the internship program?

Yes, at the end of the summer, there will be a send-off lunch to close out the program and to thank interns for their hard work.

Does Capstone have any diversity and inclusion policies?

Yes, Capstone is committed to creating an inclusive environment and welcomes applicants from different backgrounds, considering applications for employment without regard to all applicable protected characteristics.

We see the world differently. Capstone is a global, alternative investment management firm.

Finance
Industry
51-200
Employees
2007
Founded Year

Mission & Purpose

Capstone is a global, alternative investment management firm operating across a broad range of derivatives-based strategies with a deep understanding of volatility. With approximately $9.4 billion of AUM and 262 employees (as of March 1, 2023), Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Hong Kong, Los Angeles, Stamford, and Boston. Through strategic insight, market-leading expertise and advanced technology, we seek to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team and industry.