Quant Finance ML Researcher — Market Modeling

Citadel; New York (NY); On-site; USD 235,000 - 300,000; Full time

Benefits offered by this job

Medical and life insurance

Retirement and tax-free savings plans

Healthcare programs access

Job summary

Citadel is seeking a Machine Learning Researcher to develop next-generation models and trading approaches for diverse investment strategies. You will apply advanced statistical techniques to financial markets and large, complex datasets.

The role involves rigorous research, algorithm development, and back-testing, with opportunities across multiple strong markets. Citadel offers a discretionary incentive program and broad benefits.

Qualifications

• PhD in mathematics, statistics, physics, CS, or similar quantitative field.
• Strong track record in ML, statistics, deep learning, NLP, AI, or related quantitative field.
• Experience in a data-driven, research environment.
• Hands-on programming in Python or C++.
• Strong problem-solving skills.
• Ability to communicate advanced concepts concisely.
• Proficiency using algorithms to investigate large data or perform error-checking.

Responsibilities

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

Skills

Programming in Python/C++

Problem solving

Communication skills

Algorithm development

Education

PhD in mathematics, statistics, physics, CS

Job description

Citadel is seeking a Machine Learning Researcher to develop next-generation models and trading approaches for diverse investment strategies. You will apply advanced statistical techniques to financial markets and large, complex datasets.

The role involves rigorous research, algorithm development, and back-testing, with opportunities across multiple strong markets. Citadel offers a discretionary incentive program and broad benefits.