Espace Recruteurs

Machine Learning Equity Quant Researcher/ Flexible Location

Eka Finance
Londres, Royaume-Uni
Mise en ligne il y a environ 8 heures Au bureau CDI $Base + Bonus
T
Mise en ligne par
Tina Kaul
Recruiter
Global fund are hiring a machine learning quant researcher for their systematic equity desk . Location is flexible.

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
  • 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

 

 

  • 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

 

 

  • Product experience in equities

 

Apply:-

 

Please send a PDF resume to quants@wkafinance.com

Référence  SH
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