Global Career Guide (EN)From Economics β†’

Quantitative Economist

Quantitative economists use maths and data to understand how the economy works. They work for governments, banks and businesses, helping leaders make big decisions about money, jobs and growth based on what the numbers show.

The UK Degree Advantage

A UK degree in Economics provides candidates with a robust understanding of both theoretical and practical aspects of the field, often enriched by access to leading research and industry connections. Universities in the UK are renowned for their rigorous academic standards and strong emphasis on quantitative skills, giving graduates a competitive edge in the job market.

The Role & Expectations

As a quantitative economist, you use statistics and maths to make sense of huge amounts of economic data. You find patterns and trends, forecast what might happen in the future, and explain what it all means. You work in offices or think tanks, sometimes with computers most of the day, and you write reports that help governments, banks and companies decide what to do.

The job requires strong maths and computer skills, and you need to be able to think carefully about difficult problems. You will also spend time explaining your findings to people who are not economists - making complex ideas clear and simple. You might work on real issues like how a new tax will affect people, or how markets might change. The work is steady and logical, and you need to be precise and honest about what the data really shows.

Daily Responsibilities

  • Conduct rigorous statistical analyses using large datasets to identify economic trends and patterns.
  • Develop and implement econometric models to forecast economic conditions and evaluate policy impacts.
  • Collaborate with cross-functional teams, including policymakers, researchers, and business leaders, to translate data insights into actionable strategies.
  • Present findings through comprehensive reports and engaging presentations, tailoring messages for diverse audiences.
  • Stay updated on economic developments and emerging data analysis techniques to enhance research methodologies.
  • Utilize programming languages such as Python or R for data manipulation and model development.
  • Participate in peer collaborations and contribute to academic publications to share insights with the broader economic community.