Head of Quant/Data Science

Eagle Alpha Published: 28th February 2018
Dublin, Ireland
Job Type
Preferred Academic Qualification


Eagle Alpha is looking for a Head of Data Science to lead a team of quantitative analyst & data scientists.

The successful candidate will have experience leading a team of quant analysts and/or data scientists and will have a strong commercial focus and understanding of the investment industry. He/she will lead the buildout of a team who will work to develop scalable solutions for alpha & quality testing for large data sets.

This will involve a coordinated approach between the Data Science, Data Insights and Engineering teams. Examples of some modelling techniques used to date: Time Series Econometrics, Dimensionality Reduction (PCA), Mixed-data sampling regression, machine learning techniques.

The Role:

  • Building out and managing a team of 10+ quants and data scientists.
  • Working with multiple different date types and datasets.
  • Developing scalable solutions in Python and R.
  • Deriving signals from large data sets.
  • Developing and back testing forecasting models for both equity and macro applications.
  • Product development.

The Requirements:

  • 7+ years of experience as a quantitative analyst, ideally on the buyside.
  • Experience in traditional alpha testing and quantitative techniques: i.e. portfolio analysis, financial econometrics etc.
  • Experience analyzing large data sets in order to derive signals (alpha testing).
  • Extensive experience with Python and R. Matlab also desirable. Experience developing projects in these programming languages.
  • Ability to manage projects i.e. review code, set roadmap/deadlines etc.
  • Machine learning expertise is also desirable.
  • A postgraduate degree preferably in Quantitative Finance/Financial Engineering.

Location: Dublin, Ireland

Compensation: Competitive Salary and Share Options

Contact: ronan.crosson@eaglealpha.com

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