top of page

Quantitative Investment Analyst




Wealth Management

Job ID


Job Type




Job Description

Our client, a large financial services company based in Dublin City South, is seeking a Quantitative Investment Analyst for an opportunity that offers both hybrid working options and excellent career advancement prospects.

This is an excellent opportunity to join a growing and expanding investment analytics team to work in the wider investment management area. This is a role working within a strategic team involved in investment process, including the house views, security selection, portfolio construction and portfolio implementation.

The main responsibility of the Investment Analytics team is to develop and implement tools in the areas of performance, risk management and asset allocation across all aspects of the investment process.

The role offers wide-ranging opportunities for experience in the following areas:

  • Supporting the development of tools and processes for portfolio performance and risk analysis.

  • Analyse and prepare summaries of proprietary risk and performance reporting for discussion for a variety of stakeholders across the business.

  • Review and maintain datasets and ensure data integrity.

  • Conducting project-based investment and quantitative analysis.

  • You will work to find efficient data driven solutions liaising with stakeholders across portfolio management, IT and business change.

  • You will be part of a team responsible for performance and investment risk management across all aspects of the investment process, from strategic asset allocation through model portfolios and individual clients.

Ideal Experience:

1-2 years of relevant industry experience and at least 2 of the following:

  • Experience with preferred programming languages R and / or Python.

  • Advanced Excel

  • Strong analytical abilities and practical experience using quantitative techniques to drive decision making.

  • Interest in and knowledge of financial markets and the investment industry.

  • A Degree in finance, economics, data or computer science, mathematics or other quantitative discipline are all potentially suitable academic backgrounds or relevant industry experience will qualify.

If you would like to learn more about the job / full job description, please apply or contact Emma Hirsch at to arrange a confidential discussion.

Apply Now

Apply for this job by filling out the form. We’ll respond as soon we can.

Upload your CV

Thanks for applying!

bottom of page