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Internship Algorithmic Trading Quant Jobs in New York

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 ...

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 ...

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 ...

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

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Internship Algorithmic Trading Quant information

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.

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 are the most commonly searched types of Algorithmic Trading Quant jobs in New York?

The most popular types of Algorithmic Trading Quant jobs in New York are:

What are popular job titles related to Internship Algorithmic Trading Quant jobs in New York?

For Internship Algorithmic Trading Quant jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Algorithmic Trading Quant jobs in New York look for?

The top searched job categories for Internship Algorithmic Trading Quant jobs in New York are:

What cities in New York are hiring for Internship Algorithmic Trading Quant jobs?

Cities in New York with the most Internship Algorithmic Trading Quant job openings:

Infographic showing various Internship Algorithmic Trading Quant job openings in New York as of August 2026, with employment types broken down into 54% Internship, and 46% Full Time. Highlights an 100% In-person job distribution.

Algorithmic Trader

Wintermute

New York, NY • On-site

Full-time

Medical

Re-posted 27 days ago


Job description

About Wintermute
Wintermute is one of the largest algorithmic trading companies in digital assets. We provide liquidity algorithmically across all major cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute is not just a trading company, it is one the most prominent and influential players in the digital asset markets: we are connected and partnering with all major players in the industry, we actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. You can read more here.
Working at Wintermute
Wintermute is a global company with offices in London and Singapore. It opened its US office in early 2025 and it is set to grow significantly over the next several years. It's a unique opportunity to play a role in the early rapid expansion of Wintermute Americas.
What will you work on
We are looking for an Algorithmic Trader with strong coding skills (Python), good trading instincts and a curiosity about HFT, liquidity provision and crypto trading. After a short training period with the global trading team, you'll be working directly on P&L impacting projects relating to Wintermute USA's trading strategies. You'll need to analyze large amounts of trading and transaction data, generate insights, prioritize them and build solutions based on your findings. You will get a lot of independence and responsibility right away, while getting guidance of the crypto trading experts, and you'll learn at an unprecedented speed! No legacy systems, no corporate bureaucracy, no multiple levels of approvals. It is up to you to make an impact and there is no limit set by the company!
Hard Skills Requirements
  • Strong Python skills - you have 1-3 years of experience coding in Python, be that through work, study or personal project experience - we will test!
  • 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 provision trading is crucial. We will be testing you on your trading intuition as well.

Other Requirements
  • Have an owner mentality - you focus on the ultimate result - P&L for the company and strategically growing the business and Wintermute partnerships
  • Love problem solving, and love seeing your products work; you do whatever it takes to do what's needed (trading, coding, analysing data, collaborating).
  • Determined, ambitious yet humble, willing to work hard and learn on the way.
  • Like meritocracy and being judged by what you deliver.
  • Have an entrepreneurial mindset versus working 9-to-5 mentality; prepared to work non-standard working hours (since we are a pivotal player in the crypto markets that don't stop 24/7 ).
  • Like working in a team collaborative environment.

Here is why you should join our dynamic team:
  • Opportunity to work at the world's leading algorithmic trading firm in digital assets.
  • Engaging projects offering accelerated responsibilities and ownership growth compared to traditional finance environments.
  • A vibrant working culture with team events, celebrations and company wide team building events.
  • A cool office in the heart of New York City which often hosts some of the leading industry events
  • Great company culture: informal, non-hierarchical, ambitious, highly professional yet with a startup vibe, collaborative and entrepreneurial.
  • A performance-based compensation with a significant earning upside alongside standard perks like private medical insurance

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.