Investment Data Science Intern

Position: Investment Data Science 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 Investment Data Science Interns for Summer 2027. As an intern, you'll engage in high-impact projects focused on alternative data research supporting long/short discretionary investment strategies. Your work may include developing thematic investment theses, exploring new datasets, or conducting stock-specific analyses. You'll have the opportunity to collaborate with senior professionals, gain hands-on experience with real-world hedge fund data, and enhance your analytical and statistical skills.

The internship is 10 weeks in length and will take place in New York City from June to August 2027.

Responsibilities:

• Partner with the Central Data Science team on research initiatives, supporting both scalable production insight pipelines and ad hoc analytics to inform investment decisions.
• Collaborate with discretionary equity L/S portfolio managers and analysts to understand their investment theses and identify areas where alternative or fundamental data can augment conviction; develop and prototype predictive models or analytics tools that help surface patterns across sectors, tickers, or themes.
• Conduct exploratory data analysis (EDA), signal validation, and performance attribution studies using historical and real-time data sets.
• Assist in the evaluation and onboarding of new data vendors by performing quantitative and qualitative assessments of potential alpha signals.
• Learn and implement core data science and data engineering workflows on the firm’s Cloud and Linux infrastructure.
• Clean, transform, and join large structured and unstructured datasets from internal and external sources; maintain reproducibility and robustness through version-controlled code, documentation, and adherence to the team’s development standards; utilize AI to enhance processes and analyses.

We seek individuals who:

• Are pursuing an undergraduate or non-MBA master’s degree in a STEM-related field, with an expected graduation date between December 2027 and June 2028.
• Demonstrate strong quantitative and analytical skills, with a solid foundation in programming, statistics, and problem-solving capabilities.
• Are self-motivated, adaptable, and detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
• Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity and improve processes and workflows.
• Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

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 [email protected].

Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/.