[ Quant Company from USA ] Quant Researcher (ML/Hybrid)

A pioneering research-focused organisation is seeking a Quantitative Researcher specialising in Machine Learning. This role offers unique opportunity to work in a research-lab environment focused on machine learning, statistics, and collaborative innovation.

Key responsibilities:

Work in a collaborative research environment developing advanced machine learning models and quantitative frameworks for real-world applications.

• Design and implement machine learning models in collaboration with a highly skilled research team to solve complex quantitative problems
• Apply statistical methods and programming skills to build robust analytical frameworks that inform decision-making
• Conduct deep data analysis using advanced techniques to generate actionable insights from large-scale datasets
• Contribute to research innovation by proposing new ideas and participating in technical discussions and knowledge-sharing sessions
• Support integration of new technologies and ensure ethical, high-quality research outputs across all projects

Candidate profile:

A research-driven Quantitative Researcher with strong academic training in machine learning or statistics and a passion for applied research in collaborative environments.

• PhD (or equivalent) completed within the last three years in machine learning, statistics, or a closely related field
• Strong programming ability with experience developing algorithms for data analysis and model building
• Solid grounding in statistical theory and its application to real-world datasets
• Excellent communication and teamwork skills with the ability to collaborate in small, high-performing research groups
• Adaptable mindset with enthusiasm for interdisciplinary research and non-traditional finance applications

About the company:

An advanced quantitative finance firm specialising in data-driven trading strategies, combining machine learning and statistical research. It stands out for its research-first culture, collaborative teams, and rigorous model development environment.

Keywords: machine learning, quantitative, statistics, python, algorithms, modelling, trading, research, finance

What's next:

If you are ready to advance your career in machine learning research within a highly collaborative and intellectually stimulating environment, apply now!