Quantitative Researcher - Sports Trading Quantitative Researcher - Sports Trading …

Capital Markets Executive Search
in London, United Kingdom
Permanent, Full time
Last application, 17 Jun 21
Competitive
Capital Markets Executive Search
in London, United Kingdom
Permanent, Full time
Last application, 17 Jun 21
Competitive
Posted by:
Tom O’Cuinneagain • Lead Consultant, Investment Management
Posted by:
Tom O’Cuinneagain
Lead Consultant, Investment Management
Our client, an early stage London based Quant fund backed by a large algorithmic trading firm are looking to hire a Quant Researcher to join their newly formed collaborative research team.

As a quantitative researcher you would be responsible for researching and implementing alpha generating ideas, risk and trading models.

This is a hands-on role responsible for creating and optimising new quantitative systematic portfolio models. You will also be tasked with creating a research agenda and back testing/researching ideas across all elements of the investment process.

Core responsibilities will include:

  • Develop trading hypotheses;
  • Write simulation / back-testing code;
  • Formulate creative and concrete solutions; and
  • Communicate ideas back to the team

Core Skill and Experience required:

  • At least 2-3 years of experience in algorithmic sports betting
  • PhD or Masters degree in a quantitative discipline
  • Strong coding expertise in either Matlab, Python, R, Java or C++
  • Solid statistical knowledge and familiarity with packages such as R or Matlab
  • Time series modelling / simulation or quantitative research experience
  • Experience of working with large & complex data sets
  • A solid foundation in optimisation, probability, statistics and/or machine learning.

For more information, please contact our consultant Tom O'Cuinneagain on tom.oc@capitalmarkets.ie

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