Quantitative Researcher

2 months ago

London, Greater London, United Kingdom Campbell North Full time

Job Title: Quantitative Researcher - Machine Learning and Deep Learning

Locations: London, Amsterdam, US, and APAC

Overview:

Campbell North is seeking a highly skilled Quantitative Researcher - Machine Learning and Deep Learning to join our team. As a key member of our research group, you will collaborate with world-renowned machine learning researchers and former academics on challenging, real-world problems within the field of quantitative finance.

In this role, you will build state-of-the-art algorithms and deploy them on massive datasets containing trillions of observations, receiving immediate feedback on your models and optimisations. You will be supported by a team of top-tier engineers and a cutting-edge tech stack, including a rapid-feedback platform for ML experimentation.

Key Responsibilities:

  • Develop and deploy advanced machine learning and deep learning models to tackle complex problems in quantitative finance.
  • Conduct large-scale data analysis and build ML/DL algorithms optimised for trillions of observations.
  • Experiment with model architectures, feature transformations, and hyperparameter tuning to ensure robust, reliable inferences.
  • Collaborate with both in-house researchers and leading academics 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 (e.g., Oxbridge, Stanford, UC Berkeley, Ivy League).
  • Strong publication record with first-author contributions in leading journals and conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, NAACL, ACL, EMNLP, CVPR, ICCV, Physical Review Letters, Nature Physics, etc.).
  • 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.

If you are a highly motivated and talented individual with a passion for machine learning and deep learning, please share your resume with us.

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