Systematic Machine Learning Quant Researcher

3 weeks ago


Singapore Technology Services Group Pte. Ltd. Full time

Role:

  • Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
  • Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
  • Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
  • Apply machine learning to a vast array of datasets

Requirements:

  • Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
  • Experience working with large datasets and machine learning techniques
  • Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference.
  • Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
  • Experience in a high performance language (ideally C++, or similar languages)
  • Outstanding performance in any quantitative field or contest (Kaggle, hackathons, olympiads, academic contests etc).
  • Experience implementing machine learning algorithms in industry.
  • Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.


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