Summary
Andreas Theodoulou is a Senior Data Scientist with six years' experience applying machine learning, NLP and quantitative methods across finance and private equity, from counterparty credit risk at Bank of America to front-office data science at Citi and transactional support at Vitruvian Partners. He holds an MSc in Financial Engineering from Imperial College London and a BSc in Mathematics with Statistics from the University of Bristol, blending rigorous stochastic and statistical training with practical model deployment. His work spans ML for future-value estimation, thematic and workforce analytics, and emerging GenAI/AI-agent solutions, often leveraging alternative data and quasi-experimental designs. Based in the UK, he maintains an active GitHub showcasing personal projects that bridge academic techniques and production-grade analytics, reflecting a hands-on approach to turning complex quantitative ideas into actionable business insights.
6 years of coding experience
5 years of employment as a software developer
MSc Financial Engineering & Risk Management, MSc Financial Engineering & Risk Management at Imperial College London
High School, High School at The English School, Nicosia
Bachelor’s Degree Mathematics with Statistics, Bachelor’s Degree Mathematics with Statistics at University of Bristol
Greek, English, French