Central Equity Quant Research (CEQR) Intern (Summer 2027)

Position: Central Equity Quant Research (CEQR) 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 highly quantitative and analytical interns to join our Central Equity Quant Research (CEQR) team for Summer 2027. As a CEQR intern, you'll work at the core of our firm's trading infrastructure, developing and optimizing models that reduce trading costs and decipher short-term alphas. You'll contribute to projects that influence our quantitative investment strategies and collaborate closely with our investment teams. This is a unique opportunity for quantitative minds who thrive at the intersection of mathematical modeling, data analysis, and programming.

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

Responsibilities:

• Conduct quantitative research to evaluate model performance and identify opportunities for improvement using large-scale datasets.
• Build predictive and explanatory models to identify patterns in asset returns, risks, trading costs and price impact, or other aspects relevant to managing our portfolios, including statistical ranking models, calibration frameworks, and structured approaches to synthesizing unstructured data.
• Gain exposure to a range of strategies and collaborate across groups to integrate your work into production systems that support trading decisions.
• Help build and enhance our infrastructure and tools for trading, risk management and attribution, leveraging AI tools including LLM-based analytical pipelines.

We seek individuals who:

• Are pursuing an undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028.
• Demonstrate strong quantitative and analytical skills (including programming proficiency in R and/or Python).
• Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team.
• Exhibit a genuine interest in financial markets, execution trading, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments.
• Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity, improve processes, and generate investment alpha.
• Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range :

The expected monthly pay for this position is $20,000/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 View email address on click.appcast.io.


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