Machine Learning Researcher – PhD Intern (US)

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

Job summary

Citadel, a leading investment firm, seeks Machine Learning Researchers to develop next-generation models and trading approaches. You’ll apply advanced statistical techniques to financial markets and large, diverse datasets while advancing quantitative research.

Expect to publish research, back-test models, and implement algorithms in Python or C++. Opportunities exist in New York, Miami, Greenwich, and Houston, with a base salary range of $4,500 to $5,800 per week.

Qualifications

• PhD in mathematics, statistics, physics, computer science, or another highly quantitative field.
• Advanced ML/AI research experience with deep learning or NLP.
• Hands-on programming experience in Python or C++.

Responsibilities

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

Skills

PhD in quantitative field

ML/AI research track record

Data-driven research experience

Python programming

C++ programming

Strong problem-solving

Clear technical communication

Algorithms for large data

Education

PhD in quantitative field

Tools

Python

C++

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.