Machine Learning Researcher PhD Intern US

Citadel; Greenwich (CT); On-site; USD 204,750 - 263,900; Full time

Job summary

Citadel, a leading investment firm, seeks a Machine Learning Researcher to develop next-generation models and trading strategies. You will apply advanced statistics, ML techniques (including deep learning and NLP) to financial datasets and implement efficient algorithms in code.

You will work with large, unstructured data and back-test findings to advance quantitative research. The role requires a PhD in a highly quantitative field and a strong research track record in ML, statistics, or AI.

Qualifications

• PhD in mathematics, statistics, physics, CS or a highly quantitative field.
• Advanced training and a strong research track in ML, statistics or NLP.
• Experience in data-driven research environments.
• Hands-on programming in Python or C++.

Responsibilities

• Apply statistics and ML to extract patterns from diverse datasets.
• Back-test models and document research findings.
• Develop and implement algorithms in high-quality code.
• Work with large, diverse data sources including unstructured data.

Skills

PhD in quant field

ML research track

Python programming

C++ programming

Clear communication

Problem solving

Data handling

Education

PhD in quantitative field

Tools

Python

C++

Job description

Job Description

At Citadel, our mission is to be the most successful investment team in the world. Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives

• Use statistics, machine learning (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 a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
• Prior experience working in a data driven detailed research environment
• Hands on programming experience in Python or 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

Opportunities available in New York, Miami, Greenwich, and Houston.

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

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.