Machine Learning Researcher – PhD Intern (US)

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

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, the goal of this team is to leverage and tailor the state-of-the-art machine learning and AI algorithms to modernize the quantitative trading industry. We’re looking for extraordinary and highly motivated researchers who are excited about solving challenging problems and iterating in a fast-paced environment.

As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship.

Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

Your Objectives

• Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and 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

Your Skills & Talents

• PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
• Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field
• Hands on programming experience in scripting (e.g. Python) and/or compiled languages (e.g. C++)
• A background demonstrating strong problem‑solving skills
• An ability to communicate advanced concepts in a concise and logical way
• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error‑checking problems

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.