Deadline:
As soon as possible
Location(s)
United States of America
New York
Overview
Details
What you’ll do day-to-day
- Work on a research project that typically involves exploring a variety of statistical modeling techniques and writing software to analyze financial data.
- Collaborate with a dedicated mentor in one of our quantitative research groups, and work closely with quants, developers, and senior staff.
Who We Are
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 1,400 people around the globe and an institutional-grade (and trip-proof) infrastructure, but we still value creativity, entrepreneurship, and the spirit of discovery.
The firm prizes a culture of collaboration across disciplines, geographies, and investment strategies. Experienced leadership and diversely talented minds chart our course. Analytical rigor, an open exploration of ideas, and a relentless pursuit of excellence drive us forward.
Our People
We spend time extensively searching the globe for talented individuals. We invest in those who are able to think creatively, who are relentlessly rational, and who put ego aside in the interest of getting things right. Then we empower them to do their best work in an environment where they are free to express the eclectic parts of their personality.
How To Join
At the D. E. Shaw group you’ll find sharp minds, strict ethical standards, and a precise approach to solving problems. Joining our team means you’ll be working with a complex, creative, socially conscious, and occasionally nerdy set of individuals. Here we thrive on differences—in experiences, ideas, and ways of thinking. No matter where you're coming from, we welcome exceptional applicants of all types to join our team.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Who we’re looking for
- An impressive record of academic achievement, including advanced coursework in fields such as math, statistics, physics, engineering, computer science, or other technical and quantitative programs.
- Interest or experience working in a data-driven research environment, including manipulation of data using high-level programming languages such as Python, is preferred.
- An exceptional aptitude for abstract reasoning, problem solving, and quantitative thinking, in addition to prior probability and statistics knowledge, is a plus.
- An interest in learning about quantitative finance; no previous finance experience is necessary.
- Enrollment in a full-time degree program; students who apply to this internship are usually approaching their final year of full-time study.
Dates
Deadline: As soon as possible
Cost/funding for participants
The position offers a monthly base salary of $25,000, overtime pay, a sign-on bonus of $25,000, travel coverage to and from the internship, and a 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 questions about the compensation, please ask one of our recruiters.
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