Beril Kilcioglu, PhD

I joined Financial Times in February 2023 and am currently a Senior Data Scientist. I have 9+ years experience working with large structured and unstructured data. My background is in finance and economics, and my data science experience spans topics including ESG research, asset managers' portfolios, forecast error variance decompositions, corporate governance, mergers and acquisitions, firm innovation, behavioural economics. I am proficient in Python, R, SQL and Stata. I took PhD-level courses in econometrics, asset pricing, corporate finance, machine learning, continuous time finance, financial engineering, game theory. 

I obtained my PhD in Finance degree from London Business School in 2022. During my doctoral studies, I was a visiting PhD student at London School of Economics and I attended Yale Summer School in Behavioural Finance in 2019. During my PhD, I led all aspects of research for 3 individual and 2 collaborative finance papers. I presented research insights in 10+ conferences worldwide.

Prior to joining London Business School, I completed my Master's degree in Economics at Koc University, where I held Teaching Assistant position for Economics courses and researched macroeconomic and financial networks. I hold two Bachelor's degrees in Economics and Business Administration from Koc University, Istanbul where I graduated with summa cum laude. I have a Global Management Certificate from Stanford University, Summer International Honors Program 2013.