Machine Learning Researcher – PhD Intern (US)

Citadel; New York (NY); On-site; USD 158,340 - 263,900; Full time

Job summary

Citadel, a leading investment firm, is seeking PhD-level researchers to advance quantitative models and trading strategies in diverse markets. You will apply statistics, ML, deep learning and NLP to extract patterns from large, complex datasets and back-test findings with rigorous documentation.

Responsibilities include implementing high-quality algorithms in Python or C++, working with unstructured data, and communicating results clearly.

Qualifications

• PhD in mathematics, statistics, physics, CS, or another highly quantitative field.
• Strong research track record in machine learning, statistics, deep learning, natural language processing, AI, or related quantitative field.
• Prior experience in a data-driven, research-focused environment.
• Hands-on programming experience in Python or C++.
• Strong problem-solving ability and clear communication of complex ideas.
• Ability to create and use algorithms to investigate large data and perform error checking.

Responsibilities

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

Skills

Python

C++

Machine learning

Statistics

Deep learning

NLP

Research

Education

PhD in quantitative field

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.