Machine Learning Equity Quant Researcher/ Flexible - London, United Kingdom - eFinancialCareers

eFinancialCareers
eFinancialCareers
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London, United Kingdom

1 week ago

Tom O´Connor

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Tom O´Connor

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Description
**Role:
- *
  • 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
**Requirements:
- *
  • Strong research and programming skills are necessary
  • 25 years of Machine Learning experience
  • 25 years of experience working in a quantitative research capacity focusing on equities
  • Product experience in equities
**Apply:
- **Please send a PDF resume to
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