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Software Developer, Ph.D. Intern (New York) – Summer 2025

  • Internship
    Full-time
    Summer Internship
  • Software Engineering
  • New York City

AI generated summary

  • You need advanced academic coursework in math, stats, physics, or tech fields, strong research and problem-solving skills, and proficiency in programming languages like Python, Java, or C/C++. Collaboration and interest in quantitative finance are a plus.
  • You will design and deploy tools for analyzing financial instruments and create real-time, scalable applications for automated trading activities at a top finance firm in New York.

Requirements

  • We seek individuals with impressive records of academic achievement, including advanced coursework in fields such as math, statistics, physics, engineering, computer science, or other technical and quantitative programs.
  • Candidates should be detail-oriented, with notable research productivity in their respective areas of study as well as a track record of creativity in their field(s).
  • Applicants should have exceptional problem-solving capabilities and programming skills (which may include experience programming in languages such as Python, Java, or C/C++).
  • Applicants should be interested in producing clean and efficient code.
  • The ability to collaborate effectively with others as well as work independently is a plus.
  • We welcome applicants currently enrolled in a four-year undergraduate program or graduate degree program across all fields of study. No previous finance experience is necessary, though candidates should have an interest in learning about quantitative finance. Students who apply to this internship are usually approaching their final year of full-time study.

Responsibilities

  • You’ll build tools for analyzing and trading financial instruments, as well as design and deploy real-time, scalable applications for the firm’s highly automated trading activities.

FAQs

What qualifications are you looking for in applicants for this Ph.D. internship?

We are seeking individuals with impressive records of academic achievement, including advanced coursework in fields such as math, statistics, physics, engineering, computer science, or other technical and quantitative programs. Candidates should be detail-oriented, with notable research productivity in their respective areas of study as well as a track record of creativity in their field(s).

What programming skills are required for this internship?

Applicants should have exceptional problem-solving capabilities and programming skills, which may include experience programming in languages such as Python, Java, or C/C++. The ability to produce clean and efficient code is essential for this role.

What is the compensation package for this internship?

The position offers a monthly base salary of $22,000, overtime pay, a sign-on bonus of $20,000, travel coverage to and from the internship, and choice of furnished summer housing or a $10,000 housing allowance. It also includes a $3,300 stipend for self-study materials and a $4,000 stipend for personal technology equipment. If you have any questions about the compensation, please ask one of our recruiters.

Is previous finance experience necessary for this internship?

No previous finance experience is necessary, though candidates should have an interest in learning about quantitative finance. We welcome applicants currently enrolled in a four-year undergraduate program or graduate degree program across all fields of study.

How long is the internship and when does it take place?

This is a 12-week internship program that will take place in New York and is expected to run from June to August 2025.

Finance
Industry
1001-5000
Employees
1988
Founded Year

Mission & Purpose

The D. E. Shaw group is trusted by investors across the world to manage their assets by seeking the optimal balance of risk and reward. While we’re known as a pioneer in quantitative investing, we also have considerable expertise in areas that involve fundamental analysis or portfolio manager discretion. We use a combination of quantitative and qualitative tools to uncover independent, hard-to-find sources of return across global public and private markets. Founded in 1988 over a small bookstore in downtown New York City, the D. E. Shaw group began with six employees and $28 million in capital and quickly became a pioneer in computational finance. In the early days of exposed pipes and extension cords, tripping on a cable could take out our whole trading system. Today, the firm has more than 2,000 people around the globe and an institutional-grade (and trip-proof) infrastructure, but we still value creativity, entrepreneurship, and the spirit of discovery.