Job Summary:
IMC Trading is a global trading firm seeking quantitative researchers to apply state-of-the-art machine learning and deep learning to solve challenging trading problems. The role involves designing and deploying machine learning models, collaborating with trading teams, and managing data for enhanced trading performance.
Responsibilities:
• Design and deploy machine learning models to enhance trading performance across various asset classes
• Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
• Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
• Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
Qualifications:
Required:
• PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
• 2+ years of experience building applied ML models
• Proven expertise in developing and deploying predictive models
• Strong programming skills in Python
• Proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
• Strong understanding of theoretical foundations of state-of-the-art ML models
• Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
• Ability and desire to work in a collaborative team environment
• Excellent written and verbal communication skills
Preferred:
• previous experience in trading environment
Company:
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Founded in 2022, the company is headquartered in Klein Amsterdam, NLD, with a team of 1001-5000 employees. The company is currently Late Stage.