ML Researcher PhD Intern: Quantitative Market Models

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

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.