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Internship Algorithmic Trading Quant Jobs in New York

Umbrex

Hedge Fund Quant Analyst - Umbrex

Manhattan, NY · On-site

$100 - $125/hr

They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced ... Deep understanding of alpha capture and algorithmic trading strategies. * Proficiency in Python ...

Invesco

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

Wintermute

Algorithmic Trader

New York, NY

Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity ...

Wintermute

Algorithmic Trader

New York, NY · On-site

Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity ...

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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 internship algorithmic trading quant?

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 New York as of July 2026, with employment types broken down into 1% Internship, 3% As Needed, 81% Full Time, 13% Part Time, 1% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Equities Algorithmic Trading Quantitative Analyst, MQA - VP

Citigroup, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

40th of 170 rated banks

Job description

The Algorithmic Trading Quant team is part of Citi Global Markets and is responsible for the research, design, implementation, and maintenance of Equities Execution Algorithms and related Trading Products offered to Citi's institutional clients and internal trading desks. The team collaborates with global teams, with a specific focus on North America and LATAM markets.
Development Value:
The Algorithmic Trading Quant team is seeking a highly skilled and motivated Senior Java Engineer to join our NAM Equities Cash Quant team. This is a unique opportunity to work at the intersection of quantitative finance, be part of the design and development of high-performance trading systems, and leverage AI-assisted software development lifecycle with Large Language Models (LLMs). It is an opportunity to be involved in challenging new initiatives, learn the latest developments in the Electronic Trading domain, and be part of Citi's growing Equity Trading franchise.
Responsibilities:
  • As a Senior Java Engineer in the Front Office Quant team, you will be instrumental in designing, developing, and optimizing our next-generation equity trading platforms.
  • You will work closely with quantitative researchers and business stakeholders to translate complex financial models and strategies into robust, scalable, and low-latency Java applications.
  • Drive the adoption and integration of AI and Large Language Models (LLMs) into the software development lifecycle, exploring applications for automated code generation, intelligent debugging, predictive maintenance, and enhanced testing.
  • It is preferred that the candidate has the ability to research and analyze ideas for enhancing existing and developing new algorithms (such as liquidity seeking), models (such as market impact models), and short-term predictive signals (such as fair value).
  • Perform analysis of large data sets comprising market data, orders, executions, and derived analytics.
  • Enhance the trading model development and simulation frameworks.
  • Work in close partnership with the Coverage desk, Technology teams, and control functions such as Legal, Compliance, and Audit in order to ensure appropriate governance and control infrastructure.
  • Build a culture of responsible finance, good governance and supervision, expense discipline, and ethics.
  • Be familiar with and adhere to Citi's Code of Conduct and the Plan of Supervision for Global Markets and Securities Services; and ensure that all team members understand the need to do the same.
  • Adhere to all policies and procedures as defined by your role, which will be communicated to you.
  • Obtain and maintain all registrations/licenses which are required for your role, within the appropriate timeframe.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency.

Knowledge/Experience:
  • Extensive experience (5+ years) in Java development, with a strong focus on high-performance, concurrent, and low-latency systems. Experience in redesigning a trading system will be a plus.
  • Experience working in a development environment with an AI-integrated software development lifecycle is highly preferred.
  • Deep understanding of data structures, algorithms, and object-oriented design principles.
  • Preferred candidates will exhibit experience in a financial trading environment, of which a minimum of 3 years should be in research and development of agency execution algorithms, smart order routing strategy, liquidity seeking strategies, market making strategies, or high-frequency trading strategies.
  • Preferred candidates will have an understanding of US Equity Algorithmic Trading and Market Microstructure.
  • Preferred candidates will have experience applying statistical modeling and machine learning towards the analysis of large data sets.
  • Experience with Q/KDB or time series databases is desirable.
  • Good communication skills, both verbal and written.
  • Ability to juggle multiple tasks and projects in a fast-paced work environment.

Qualifications:
  • Master's or PhD in Finance, Mathematics, Engineering, Computer Science, or a related field. Strong candidates with a Bachelor's degree with relevant experience will be considered.
  • Applicable licenses: Will be required to either already have or apply upon arrival for Series 7, 57, and 63.

We encourage passionate and talented low-latency Java development engineers who are interested in breaking into finance to apply.
Job Family Group:
Institutional Trading
Job Family:
Quantitative Analysis
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$175,000.00 - $250,000.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 16, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

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We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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