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Internship Algorithmic Trading Programmer Jobs in Stamford, CT

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site +1

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Proficiency in programming with at least one of Rust or Python * Comfortable working on Linux ...

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 ... Engineering or related discipline (PhD preferred but not a pre-requisite). • working knowledge of ...

Alpaca

Senior Software Engineer - Trading

New York, NY · On-site +1

$134K - $176K/yr

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... Knowledge of algorithms, distributed systems, scalability, high availability, databases, low ...

Hudson River Trading

Algo Developer

New York, NY · On-site

Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and ...

Morgan Stanley

Associate, Trading

New York, NY · On-site

$175K - $200K/yr

Work closely with the quantitative strategists for algorithm design. Manage risk for client and ... Programming, data analysis and modeling using Python; * Conducting risk management, analysis and ...

Morgan Stanley

Associate, Trading

New York, NY

$175K - $200K/yr

Work closely with the quantitative strategists for algorithm design. Manage risk for client and ... Programming, data analysis and modeling using Python; * Conducting risk management, analysis and ...

Robert Half

IT Audit Manager

New York, NY · On-site

$95 - $100/hr

Hands-on knowledge of trading platforms and algorithmic trading control environments across ... Exposure to Python or other programming languages, as well as data science or artificial ...

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Internship Algorithmic Trading Programmer information

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How much do internship algorithmic trading programmer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for internship algorithmic trading programmer in Stamford, CT is $39.33, according to ZipRecruiter salary data. Most workers in this role earn between $32.55 and $46.15 per hour, depending on experience, location, and employer.

What types of projects and tasks can I expect to work on as an internship algorithmic trading programmer?

As an Internship Algorithmic Trading Programmer, you can expect to work on tasks such as coding and backtesting trading algorithms, analyzing financial market data, and optimizing strategies for performance. Interns often collaborate closely with quantitative analysts and senior developers, learning industry-standard tools and platforms. Your daily responsibilities may include debugging code, running simulations, and documenting your findings. This hands-on experience provides excellent exposure to the fast-paced trading environment and is a valuable stepping stone to full-time roles in quantitative finance.

What is an internship algorithmic trading programmer?

Internship Algorithmic Trading Programmers are students or early-career professionals who work as interns in financial firms to help develop, test, and implement automated trading strategies using programming and quantitative analysis. They typically work under the supervision of experienced traders or quantitative analysts, using programming languages like Python, C++, or Java to code algorithms that trade financial instruments. These internships provide valuable hands-on experience in financial markets, algorithm development, and risk management, helping interns build the skills needed for a career in quantitative finance or trading technology.

What is the difference between Internship Algorithmic Trading Programmer vs Quantitative Trading Intern?

AspectInternship Algorithmic Trading ProgrammerQuantitative Trading Intern
Required CredentialsBasic programming skills, coursework in algorithms or financeStrong math, statistics, or finance background
Work EnvironmentDeveloping trading algorithms, coding, testing strategiesData analysis, model development, research
Industry UsageCommon in trading firms, hedge funds, investment banksSimilar, often overlapping roles in finance firms

Both roles involve finance and programming, but the Internship Algorithmic Trading Programmer focuses more on coding and implementing trading algorithms, while the Quantitative Trading Intern emphasizes data analysis and quantitative research. The roles are closely related and often overlap in industry usage.

What are the key skills and qualifications needed to thrive as an internship algorithmic trading programmer, and why are they important?

To thrive as an Internship Algorithmic Trading Programmer, you need strong programming skills (typically in Python, C++, or Java), a solid grasp of algorithms, and foundational knowledge in mathematics or finance, often supported by ongoing studies in computer science, engineering, or related fields. Familiarity with version control systems (like Git), data analysis tools (such as Pandas or NumPy), and exposure to trading platforms or APIs is advantageous. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and troubleshooting complex problems. These skills ensure the development of robust, efficient trading algorithms and contribute to the competitiveness and reliability of trading strategies.
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Internship Algorithmic Trading Programmer jobs near you

DeFi Algorithmic Trader

Wintermute

New York, NY • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

About Wintermute
 
Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects.
 
Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. At Wintermute, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here.
 
Working in the DeFi team
 
We're looking for a motivated and curious individual to join our DeFi team full-time. In this role, you'll research on-chain protocols and run data-driven experiments to help advance our understanding of decentralized finance.
 
Our trading approach is deeply rooted in technology - our traders are analytical, programmatic problem solvers who thrive on innovation. In keeping with the builder ethos of the DeFi space, this role will give you the opportunity to wear many hats. You'll likely work across multiple codebases and languages, exploring the frontiers of the ecosystem's design space.
 
We are a tight-knit, collaborative team that values open dialogue and creative exploration. You'll work closely with experienced traders and developers, receiving mentorship while being encouraged to form your own perspectives, challenge ideas, and pursue new areas of inquiry together.
Requirements:
  • Proficiency in programming with at least one of Rust or Python
  • Comfortable working on Linux environments and Git version control
  • Experience with programmatic statistical analysis and quantitative / analytic skills
  • High level understanding of high-frequency market making strategies
  • Understanding of blockchain fundamentals and mechanics of the EVM
  • Familiarity with smart contract development and the Foundry toolkit
  • A passion for learning about protocol microstructure and design mechanisms
Note:
  • Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours.
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.
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