Vacancy detail

Machine Learning Systematic Quantitative Researcher

£100,000 – £140,000 perfomance based bonus

Location: United Kingdom (London – London) Type: Permanent

Machine Learning Systematic Quant Researcher

Flexible within the US, UK, and Europe

Machine Learning Quantitative Researcher as part of a small, collaborative team, with a focus on systematic equity strategies.

Responsibilities:

  • Working alongside the PM on alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and back testing for systematic equity strategies
  • Developing and deploying machine learning methods for signal generation and portfolio optimization
  • Building Machine Learning pipelines for efficient and scalable research to be leveraged in trading environment
  • Combining sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
  • Collaborating with the PM in a transparent environment, engaging with the whole investment process

Technical requirements:

  • Strong research and programming skills are necessary
  • Bachelors, Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science or related field from a top ranked university
  • 2-5 years of Machine Learning experience

Other requirements

  • 2-5 years of experience working in a quantitative research capacity focusing on equities
  • Strong preference for candidates coming from quantitative trading firms but open to individuals from banks as well
  • Strong economic intuition and critical thinking
  • Product experience in equities

Reference: AMC/JME/MLQR12

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