PhD Quant Research Intern: Data-Driven Trading & ML

Tradermath

Boston (MA)

On-site

USD 203,000 - 243,000

Full time

14 days+
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Benefits offered by this job

Housing stipend

Job summary

Walleye Capital in Boston is seeking PhD candidates for Quantic Quantitative Researcher Intern roles (Summer 2027). The internship runs 10 weeks in Boston, June–August 2027, focusing on quantitative trading research, data analysis, and platform development.

Ideal candidates have strong Python or R skills, ML and time-series experience, and a passion for finance and AI applications. Housing stipend of $10,000 is included, with domestic travel covered.

Qualifications

  • Pursuing PhD with expected graduation between Dec 2027 and Jun 2028.
  • Strong Python or R programming with large datasets, APIs, or databases.
  • Solid background in statistics, ML, and time-series analysis.
  • Self-starter, able to work independently and in teams.
  • Interest in financial markets and AI/LLM applications.

Responsibilities

  • Research, design, and test predictive signals and systematic strategies.
  • Extract and analyze large datasets from structured and unstructured sources.
  • Enhance research infrastructure and tools for trading and risk management.
  • Develop ML models to predict asset returns, risks, or costs.
  • Design and implement scalable code across investment processes.
  • Work in Python and/or R; contribute to research tools and libraries.
  • Leverage AI tools including LLM-based analytical pipelines.

Skills

Python
R
Machine learning
Time-series analysis
Statistical modeling
Data wrangling
APIs
Databases

Education

PhD in a quantitative field

Tools

LLM tools

Job description

Walleye Capital in Boston is seeking PhD candidates for Quantic Quantitative Researcher Intern roles (Summer 2027). The internship runs 10 weeks in Boston, June–August 2027, focusing on quantitative trading research, data analysis, and platform development.

Ideal candidates have strong Python or R skills, ML and time-series experience, and a passion for finance and AI applications. Housing stipend of $10,000 is included, with domestic travel covered.

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