Machine Learning Researcher - PhD Intern (US)

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 ObjectivesUse statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous researchImplement algorithms in high-quality codeWork with large data sets, including unconventional and unstructured data sourcesBack-test models and document research findingsYour Skills & TalentsPhD 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 fieldHands on programming experience in scripting (e.g. Python) and/or compiled languages (e.g. C++)A background demonstrating strong problem-solving skillsAn ability to communicate advanced concepts in a concise and logical wayProficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problemsOpportunities available in Miamiand New York.In accordance with applicable law, the base salary range for this role is $4,300 to $5,800 per week.J-18808-Ljbffr