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Quantitative Trading Intern - Summer 2025 Internship

GTS
New York County, NY, United States
$1.4K-$2.2K a week
Internship
Temporary

Overview :

The ETF trading group at GTS is looking for 2025 summer interns to work on a variety of projects in the quantitative trading space, such as : building analytics tools to assist traders making real-time trading decisions, analyzing historical trade data to draw insights and inform our trading strategies, designing and testing quantitative models for new strategy development.

Interns will be working directly with senior traders throughout the program and have a strong influence on the direction that their projects will take.

They will gain insight into how the trading desk operates and how our traders evaluate trading opportunities. They will see their work directly impact the group’s activities and drive revenue.

This program is the perfect preparation for those who will be seeking graduate positions in quant trading. The ideal candidate will be a high achiever with a strong quantitative background.

They should be very comfortable working in Python and eager to improve. They will have a lot of initiative, exceptional problem-solving abilities, and thrive in a competitive environment.

They should have an interest in building their understanding of trading, but a background in finance is not strictly necessary.

If you have the quantitative skills, we can teach you the rest.

GTS is a collection of financial services companies spanning a wide array of asset classes and investment approaches, all powered by the combination of market expertise with innovative, proprietary technology.

With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing models to bring consistency, efficiency, and transparency to today’s financial markets.

GTS’s electronic market maker GTS Securities accounts for 3-5% of daily cash equities volume in the U.S. and is a leading Designated Market Maker (DMM) at the New York Stock Exchange, responsible for nearly $13 trillion of market capitalization.

For more information on GTS, please visit .

Responsibilities :

Work on interesting quantitative projects to support production trading strategies.

Learn how to identify, evaluate and monetize trading opportunities.

Gain exposure to industry leading trading systems and tactics.

Work closely with traders to implement the results of your research and analysis.

Qualifications :

B.S. / M.S. from a leading university in a quantitative discipline such as math, physics, statistics, computer science, engineering, or economics with a GPA over 3.

6 / 4.0, class of 2024 or 2025.

Deep understanding and ability in mathematics and statistics.

Strong programming skills in Python.

Excellent communication skills : the ability to express complex concepts in simple terms.

Ability to work independently and as part of a team in a fast-paced environment.

Demonstrated interest in strategic and competitive games.

What We Offer :

The chance to learn from experienced senior traders at the top of their field.

Mentorship in decision science, game theory and trading strategy development.

Successful candidates will return to join our Quantitative Trader graduate program.

In-office perks Free lunch daily and access to a fully stocked pantry (when working in the office).

Casual dress code (when working in the office).

We're proud to employ some of the leading talent in the industry, and we work to ensure our employees enjoy a high quality-of-life

In accordance with New York City's Pay Transparency Law, the weekly salary range for this role is $1,400 to $2,200. Weekly salary does not include other forms of compensation or benefits.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.

3 days ago
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