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Machine Learning Quantitative Researcher

2 months ago

London, Greater London, United Kingdom Campbell North Full time
About Campbell North

Campbell North is a leading financial institution that leverages cutting-edge technology to drive innovation in the field of quantitative finance.

Job Title: Machine Learning Quantitative Researcher

We are seeking a highly skilled Machine Learning Quantitative Researcher to join our team of world-renowned researchers and engineers. As a Machine Learning Quantitative Researcher, you will play a key role in developing and deploying advanced machine learning and deep learning models to tackle complex problems in quantitative finance.

Key Responsibilities:
  • Develop 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 and build ML/DL algorithms optimized for trillions of observations.
  • Experiment with model architectures, feature transformations, and hyperparameter tuning to ensure robust, reliable inferences.
  • Collaborate with our team of top-tier engineers and researchers to shape the future of ML/DL in finance.
  • Stay active in the academic community by attending and presenting at top conferences.
  • Engage in a culture of continuous learning through study groups, paper discussions, and guest speaker events.
Qualifications:
  • PhD in a quantitative subject (Physics, Biostatistics, Mathematics, Statistics, Computer Science, Engineering, etc.) from a top-tier university.
  • Strong publication record with first-author contributions in leading journals and conferences.
  • Proven coding expertise in Python, C++, or R.
  • Deep knowledge of machine learning / deep learning / NLP techniques and frameworks, with practical experience in applying them to real-world problems.