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Machine Learning Quantitative Researcher

2 months ago

London Area, United Kingdom Campbell North Full time
About the Role

We are seeking a highly skilled Machine Learning Quantitative Researcher to join our team at Campbell North. As a key member of our research team, you will be responsible for developing and deploying advanced machine learning and deep learning models to tackle complex problems in quantitative finance.

Key Responsibilities
  • Develop and Deploy Advanced Models: Design, implement, and deploy state-of-the-art machine learning and deep learning models to drive business growth and improve financial outcomes.
  • Conduct Large-Scale Data Analysis: Analyze and interpret large datasets containing trillions of observations to identify trends, patterns, and insights that inform business decisions.
  • Collaborate with Researchers and Engineers: Work closely with our team of top-tier researchers and engineers to develop and implement innovative solutions to complex problems in quantitative finance.
  • Stay Current with Industry Trends: Stay up-to-date with the latest advancements in machine learning and deep learning, and apply this knowledge to drive business growth and improve financial outcomes.
Requirements
  • PhD in a Quantitative Field: A PhD in a quantitative field such as physics, biostatistics, mathematics, statistics, computer science, or engineering from a top-tier university.
  • Strong Publication Record: A strong publication record with first-author contributions in leading journals and conferences.
  • Programming Expertise: Proven coding expertise in Python, C++, or R.
  • Deep Knowledge of Machine Learning: Deep knowledge of machine learning and deep learning techniques and frameworks, with practical experience in applying them to real-world problems.