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Internship Python Quant Jobs in Queens, NY (NOW HIRING)

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Python preferred * Strong problem solving and quantitative skills * High degree of intellectual ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Python preferred * Strong problem solving and quantitative skills * High degree of intellectual ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Provide quantitative support to risk managers, including monitoring of investment risk and market ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Provide quantitative support to risk managers, including monitoring of investment risk and market ...

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Internship Python Quant information

What types of projects can an Internship Python Quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

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

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is an Internship Python Quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

What cities near Queens, NY are hiring for Internship Python Quant jobs? Cities near Queens, NY with the most Internship Python Quant job openings:

Risk Technology Analyst Intern (Summer 2027)

Walleye Capital Internships

New York, NY • On-site

$14K/mo

Temporary, Internship

Posted 8 days ago


Job description

Position: Risk Technology Analyst Intern (Summer 2027)
Location: New York, NY
Firm Overview:
Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies.
At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team's success. Our people are our greatest asset, and we've cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.
Position Overview:
Walleye Capital is seeking Risk Technology Analyst Interns for Summer 2027. In this role, you'll work at the intersection of technology and markets - helping build and scale the systems that power the firm's risk management platform while developing hands-on intuition around portfolio construction and market behavior. You'll partner closely with risk managers, quantitative researchers, investment teams, and engineers to analyze portfolio risk and develop tools, infrastructure, and data pipelines that support real-time risk monitoring across strategies. You'll gain hands-on experience building production-quality solutions in a fast-paced environment while also developing intuition around portfolio construction and market behavior. This internship is ideal for students with a strong analytical mindset, a passion for financial markets, and an interest in applying quantitative techniques to solve complex problems.
The internship is 10 weeks in length and will take place in New York City from June to August 2027.
Responsibilities:
  • Design, build, and maintain data pipelines that support real-time and end-of-day risk analytics.
  • Develop tools and applications used for monitoring portfolio risk, including dashboards and internal systems.
  • Improve the performance, scalability, and reliability of the firm's risk infrastructure.
  • Analyze portfolio exposures across asset classes, including factor, sector, and macro risk dimensions.
  • Support performance attribution and P&L explain, helping identify key drivers of daily and periodic returns.
  • Conduct scenario and stress analysis to evaluate portfolio sensitivity to market events and regime shifts.
  • Partner with Risk and Quant teams to translate analytical requirements into robust technical solutions and communicate insights in a clear, actionable way.
  • Contribute to automation efforts across reporting, data processing, and workflow management.
  • Develop and enhance risk reporting, dashboards, and analytics used by risk managers and portfolio managers.

We seek individuals who:
  • Are pursuing an undergraduate or non-MBA master's degree in computer science, engineering, mathematics, finance, or a related field, with an expected graduation date between December 2027 and June 2028.
  • Have strong programming skills in Python, Java, C++, or similar languages; experience with data systems, APIs, or distributed computing frameworks is a plus.
  • Think in terms of systems and architecture, with an interest in building scalable and maintainable solutions.
  • Have a strong interest in financial markets, portfolio construction, and risk management.
  • Are intellectually curious, detail-oriented, and comfortable working in a fast-paced, collaborative environment.
  • Communicate clearly, with the ability to synthesize complex information into concise takeaways for both a technical and non-technical audience.
  • Are enthusiastic about applying modern technologies, including AI tools, to enhance development workflows and analyses.
  • Thrive in a collaborative environment, working closely with both technical and non-technical stakeholders.

Pay Range:
The expected monthly pay for this position is $14,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from New York City (domestic travel only).
The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs.
Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.
Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at: https://www.walleyecapital.com/.