Systematic Machine Learning Quant Researcher (Machine Learning)

at  TECHNOLOGY SERVICES GROUP PTE LTD

Singapore, Southeast, Singapore -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate08 Nov, 2024USD 7000 Monthly09 Aug, 2024N/APhysics,Machine Learning,Publications,Reinforcement Learning,Deep Learning,Mathematics,Finance,Financial Engineering,Learning Techniques,Statistics,Computer ScienceNoNo
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Description:

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

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 optimization, 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.
  • Trading Background is not a pre-requisite for the above role.

Responsibilities:

  • 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
  • Focuses on Regression and Classification
  • Focuses on EnsemblesUnderstanding confidence interval, probability inference and causal inferences
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REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Machine learning

Proficient

1

Singapore, Singapore