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Přemysl Bejda has a diverse work experience spanning various industries. Přemysl started their career as a Bricklayer, working part-time during summers from 1999 to 2002. After that, they worked as a Consultant of Statistics at Charles University in Prague, Faculty of Natural Sciences from 2009 to 2011, where they provided consulting services and collaborated on writing impact articles. Přemysl then transitioned to the role of University Lecturer at Charles University in Prague from 2010 to 2012.

In 2012, Přemysl joined Investiční Společnost České Spořitelny as a Risk Management Specialist, where they worked until 2015. Following this, they worked as a Risk Management Specialist at Erste Asset Management GmbH from 2015 to 2020. During this time, they gained valuable experience in risk management.

In 2020, Přemysl took on the role of Financial Analyst at Quant on Solutions, where they focused on financial research but found the team dynamics and working conditions unsatisfactory. Přemysl later transitioned to a similar role at FinMason, starting in June 2020. As part of this role, they were responsible for data validation and improving data quality.

Most recently, Přemysl joined Barclays in April 2022 as a Climate Risk Analyst, where they utilize their analytical skills to assess climate-related risks.

Přemysl Bejda began their education in 2002 at Charles University, where they pursued a degree in Mathematics. Přemysl successfully completed their studies in 2008, earning a degree known as "Mgr." At the same university, they continued their academic journey by enrolling in a Doctor of Philosophy (PhD) program in Robust Statistics, which they completed in 2017.

In 2006 and 2007, Bejda also had a brief educational experience at Humboldt-Universität zu Berlin, although no specific degree was mentioned.

Additionally, in 2014, they attended the Global Association of Risk Professionals (GARP) and obtained a degree in Risk Management (FRM).

Overall, Přemysl Bejda's educational background showcases a focus on mathematics, statistics, and risk management, with their highest degree being a PhD in Robust Statistics.