Graduate Machine Learning Researcher

Summary

IMC Trading is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. As a Machine Learning Researcher, your work will directly impact global trading strategies by leveraging analytical, mathematical, and computing skills to improve and develop models.

Responsibilities

• Develop and evaluate machine learning models tailored to real trading environments
• Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
• Design models based upon trading ideas, implement and deploy these models into production
• Maintain best practices to keep our systems logical and consistent

Skills

• Develop and evaluate machine learning models tailored to real trading environments
• Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
• Design models based upon trading ideas, implement and deploy these models into production
• Maintain best practices to keep our systems logical and consistent
• Approaches data analysis with rigorous thought processes and strong intuition
• Is a creative thinker who is driven and eager to solve challenging problems collaboratively
• Ability to commence full-time employment in February or August 2027
• Advanced degree such as a PhD in an applied technical field such as machine learning, computer science, computer engineering, physics, statistics or mathematics is preferred
• Direct experience in applying deep learning, or alternatively an academic track record of publications in a related domain
• Proficiency in a programming language (Python, C, C++, etc) is highly desired

Qualifications

Must Haves

• Develop and evaluate machine learning models tailored to real trading environments
• Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
• Design models based upon trading ideas, implement and deploy these models into production
• Maintain best practices to keep our systems logical and consistent
• Approaches data analysis with rigorous thought processes and strong intuition
• Is a creative thinker who is driven and eager to solve challenging problems collaboratively
• Ability to commence full-time employment in February or August 2027

Nice to Haves

• Advanced degree such as a PhD in an applied technical field such as machine learning, computer science, computer engineering, physics, statistics or mathematics is preferred
• Direct experience in applying deep learning, or alternatively an academic track record of publications in a related domain
• Proficiency in a programming language (Python, C, C++, etc) is highly desired

Benefits

• All full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance