Quant ML Researcher for Financial Markets

Citadel; Greenwich (CT); On-site; USD 204,750 - 263,900; Full time

Job summary

Citadel, a leading investment firm, seeks a Machine Learning Researcher to develop next-generation models and trading strategies. You will apply advanced statistics, ML techniques (including deep learning and NLP) to financial datasets and implement efficient algorithms in code.

You will work with large, unstructured data and back-test findings to advance quantitative research. The role requires a PhD in a highly quantitative field and a strong research track record in ML, statistics, or AI.

Qualifications

• PhD in mathematics, statistics, physics, CS or a highly quantitative field.
• Advanced training and a strong research track in ML, statistics or NLP.
• Experience in data-driven research environments.
• Hands-on programming in Python or C++.

Responsibilities

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

Skills

PhD in quant field

ML research track

Python programming

C++ programming

Clear communication

Problem solving

Data handling

Education

PhD in quantitative field

Tools

Python

C++

Job description

Citadel, a leading investment firm, seeks a Machine Learning Researcher to develop next-generation models and trading strategies. You will apply advanced statistics, ML techniques (including deep learning and NLP) to financial datasets and implement efficient algorithms in code.

You will work with large, unstructured data and back-test findings to advance quantitative research. The role requires a PhD in a highly quantitative field and a strong research track record in ML, statistics, or AI.