Machine Learning Researcher – PhD Graduate (US)

Citadel; Miami (FL); On-site; USD 235,000 - 300,000; Full time

Benefits offered by this job

Discretionary incentive compensation

Medical and life insurance

Retirement and tax-free savings plans

Job summary

Citadel is an investment firm where machine learning researchers develop next-generation models and trading approaches for a range of strategies. You will apply sophisticated statistical techniques to financial markets and build high-quality code to implement your ideas.

Opportunities are available in New York, Miami, Greenwich, and Houston with a base salary range and comprehensive benefits. This role supports advanced research in quantitative finance within a collaborative, data-driven

Qualifications

• PhD 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, NLP, AI, or related field.
• Prior experience in a data-driven, detailed research environment.
• Hands-on programming experience in Python or C++.
• Strong problem-solving skills.
• Ability to communicate advanced concepts concisely.
• Proficiency in using algorithms to investigate large data or perform error-checking.

Responsibilities

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

Skills

ML research track record

Data-driven research

Problem solving

Clear communication

Algorithmic data investigation

Python proficiency

C++ proficiency

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 $235,000 to $300,000.

In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax‑free savings plans, and access to other healthcare programs.