Equity Volatility Quant Research Intern – Summer 2027, Miami

Walleye Capital Full Time; Miami (FL); On-site; USD 203,000 - 243,000; Full time

Benefits offered by this job

Sign-on bonus

Travel to Miami covered

Job summary

Walleye Capital seeks exceptional Quant Researcher Interns for Summer 2027 in Miami, FL. The 10‑week program mirrors full‑time quant researcher responsibilities, offering hands‑on exposure to end-to-end research and trading workflows in Equity Volatility.

Ideal candidates are undergraduates pursuing quantitative degrees with strong Python skills, large data experience, and a keen interest in AI‑driven finance and markets.

Qualifications

• Pursuing an undergraduate or non‑MBA advanced degree in a quantitative field.
• Strong programming skills—Python—and experience with large datasets, APIs, or databases.
• Solid knowledge of probability and statistics (time-series, ML, optimization).
• Self-starter who can work independently and with a team.
• Genuine interest in financial markets and using AI in data-rich environments.

Responsibilities

• Build a strong foundation in options markets from academic and practitioner perspectives.
• Stay up-to-date on macro developments and market-moving headlines and their trading implications.
• Collaborate with portfolio managers and quant researchers in volatility strategies.
• Perform quantitative research tasks using large volatility datasets.
• Enhance research infrastructure and tools for trading and risk management, with emphasis on AI.

Skills

Python

Big data

Probability

Statistics

APIs

Databases

Education

Undergraduate degree in a quantitative field

Tools

AI tools

Job description

Walleye Capital seeks exceptional Quant Researcher Interns for Summer 2027 in Miami, FL. The 10‑week program mirrors full‑time quant researcher responsibilities, offering hands‑on exposure to end-to-end research and trading workflows in Equity Volatility.

Ideal candidates are undergraduates pursuing quantitative degrees with strong Python skills, large data experience, and a keen interest in AI‑driven finance and markets.