A market Leading Hedge fund is seeking a ML Quant Researcher to join their renowned California team. Your role includes taking full ownership of innovative projects aimed at optimising profit and loss through the application of machine learning algorithms in advanced coding solutions. You will be at the forefront of integrating deep learning techniques into trading strategies, allowing you to see immediate returns from your research-driven strategies This position offers a unique opportunity within a collaborative environment, providing excellent prospects for career advancement.

Main Responsibilities:

• Design and implement innovative machine learning algorithms and models while enhancing existing algorithms for peak performance and efficiency
• Work with an exceptional team of software and data engineers in creating and refining cutting-edge research toolkits and data pipelines
• Dive into large datasets to uncover valuable insights and reveal meaningful patterns
• Stay informed about the latest research and publications while discussing potential applications with academically focused software and research teams

Candidate Requirements:

• Proficiency in programming languages such as Python, R, or Java
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong understanding of statistics, data structures, and algorithms
• A Master's or BA. in Computer Science, Data Science, Statistics, or a related field

Apply now to be apart of an innovative team looking to push boundaries in quantitative trading sector.