Quant ML Researcher — Data-Driven Finance & AI

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

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.