ML Research Intern – Quantitative Trading & AI

Citadel Securities; Miami (FL); On-site; USD 205,000 - 264,000; Full time

Job summary

Citadel Securities is seeking extraordinary and highly motivated researchers for an 11-week quantitative internship in Miami, FL. You will apply statistics, ML or AI to extract patterns from diverse datasets and back-test models, coding in Python and/or C++ while collaborating with senior team members.

The program runs June through August, with flexibility for timing and opportunities to network with peers and mentors throughout the internship.

Qualifications

• PhD in mathematics, statistics, physics, computer science, or another highly quantitative field.
• Advanced training and proven 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

Responsibilities

• Use statistics, machine learning or AI 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

Skills

Python

C++

Problem solving

Communication skills

Algorithmic thinking

Education

PhD in quantitative field

Strong research background in statistics/ML/AI

Job description

Citadel Securities is seeking extraordinary and highly motivated researchers for an 11-week quantitative internship in Miami, FL. You will apply statistics, ML or AI to extract patterns from diverse datasets and back-test models, coding in Python and/or C++ while collaborating with senior team members.

The program runs June through August, with flexibility for timing and opportunities to network with peers and mentors throughout the internship.