Machine Learning Research Intern: Quantitative AI Impact

Citadel Securities; New York (NY); On-site; USD 204,750 - 263,900; Part time

Job summary

Citadel Securities invites motivated researchers to join an 11-week internship focused on applying statistics, machine learning, and AI to financial data. You will collaborate with senior researchers, implement algorithms, and back-test models in a fast-paced setting.

The program runs June through August, with some flexibility for other times of the year. Applicants can indicate timing preferences in the application.

Qualifications

• PhD in a highly quantitative field.
• Strong research track record in statistics, machine learning, AI, or related field.
• Hands-on programming experience in Python and/or C++.
• Strong problem-solving skills with evidence of research ability.
• Ability to communicate advanced concepts concisely and clearly.
• Proficiency in creating and using algorithms to investigate large data or perform error checking.

Responsibilities

• Use statistics, machine learning or AI to extract patterns from datasets through rigorous research.
• Implement algorithms in high-quality code.
• Work with large data sets, including unconventional and unstructured data sources.
• Back-test models and document research findings.

Skills

Statistics/ML/AI focus

Programming in Python/C++

Problem solving

Communication of complex ideas

Education

PhD in a highly quantitative field

Tools

Python

C++

Job description

Citadel Securities invites motivated researchers to join an 11-week internship focused on applying statistics, machine learning, and AI to financial data. You will collaborate with senior researchers, implement algorithms, and back-test models in a fast-paced setting.

The program runs June through August, with some flexibility for other times of the year. Applicants can indicate timing preferences in the application.