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Internship Algorithmic Trading Quant Jobs (NOW HIRING)

Jane Street

Quantitative Trader

New York, NY · On-site

During the internship, your work is reinforced with intensive classes, workshops, and team-based ... Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ...

Jane Street

Quantitative Trader

New York, NY

During the internship, your work is reinforced with intensive classes, workshops, and team-based ... Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ...

Old Mission

Quantitative Trader (Options)

Chicago, IL · On-site

$150K - $200K/yr

An undergraduate or an advanced degree in a quantitative field such as computer science, engineering, or one of the hard sciences. * 1-4 years of trading experience encompassing algorithmic trading ...

UBS

Electronic Trading Quantitative Analyst

New York, NY · On-site

$145K - $172K/yr

... algorithmic trading strategies? We're looking for someone to analyze, adapt and improve the ... Your team You'll be working in the Quantitative Analysis & Development team in New York. The team ...

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Internship Algorithmic Trading Quant information

What are the key skills and qualifications needed to thrive as an Internship Algorithmic Trading Quant, and why are they important?

A strong foundation in mathematics, statistics, and programming (especially in Python, C++, or MATLAB), along with coursework or experience in finance, is essential for an Internship Algorithmic Trading Quant. Familiarity with data analysis libraries, quantitative modeling tools, and version control systems like Git is typically required. Analytical thinking, attention to detail, and effective communication set candidates apart in collaborative and fast-paced trading environments. These skills are crucial for designing, testing, and implementing robust trading algorithms that perform reliably in real-world financial markets.

What is an Internship Algorithmic Trading Quant?

An Internship Algorithmic Trading Quant is a student or recent graduate who works with a quantitative trading team to develop, test, and implement mathematical models and algorithms used for automated trading in financial markets. Their responsibilities often include data analysis, coding trading strategies, backtesting performance, and collaborating with senior quants and traders. This role provides hands-on exposure to quantitative finance, programming, and financial markets, making it a valuable learning experience for those interested in a career in trading, finance, or data science.

What types of projects or tasks can I expect to work on as an Algorithmic Trading Quant Intern?

As an Algorithmic Trading Quant Intern, you'll typically work on projects involving data analysis, strategy backtesting, and model development. You may assist in researching and testing new trading algorithms, analyzing market data, and developing tools to improve trading efficiency. Interns often collaborate closely with quantitative researchers, software engineers, and traders, gaining exposure to both the technical and business aspects of trading. This hands-on experience is invaluable for understanding how quantitative strategies are developed and deployed in real-world markets.
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Infographic showing various Internship Algorithmic Trading Quant job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution.
Electronic Trading Quantitative Analyst

Electronic Trading Quantitative Analyst

UBS - Experienced professionals - job boards

New York, NY • On-site

$145K - $172K/yr

Other

Re-posted 4 days ago

UBS rating

8.8

Company rating: 8.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

15th of 146 rated banks

Job description

Are you passionate about performing research, analyzing data and coding up improvements to complex algorithmic trading strategies. We're looking for someone to analyze, adapt and improve the quantitative performance of UBS's suite of agency algorithmic trading and smart order routing strategies.
The successful candidate will primarily:
perform thorough research on areas such as market microstructure and market impact analysis.


perform Transaction Costs Analysis (TCA) to minimize executions costs.
improve consistency of algo performance and reduce outliers and risk, particularly during significant unscheduled as well as scheduled events e.g. index rebalance events.
design and spec new trading strategies with a particular focus on low latency trading strategies.
analyze trading patterns and trends within market data (L2 or L3 format).
employ modern data analytical tools such as machine learning but in a controlled and practical way.
adapt algorithms to adjust to new markets, venues, order types, asset classes and regulation.
generate intraday trading signals and volume forecasts from microseconds to minutes.
communicate with internal stakeholders and external clients and vendors to understand business requirements and market trends.
produce analytics and reports to monitor and benchmark trading performance both internally and for clients
New York: the salary range for this role is $145000 to $172500
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation

For benefits information, please visit ubs.com/usbenefits.

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About UBS

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We want to create superior value for our clients, shareholders and employees. And we want to stand out as a winner in our industry for our expertise, advice and execution, our contribution to society, our work environment and our business success.

Industry

Securities, commodity contracts, and financial investments

Company size

10,000+ Employees

Headquarters location

Zürich, ZH, CH

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