Georgios E.

I’m a Quantitative Researcher/Developer with 15+ years of experience building research frameworks, trading models, and analytics systems across asset classes — from FX and fixed income to digital assets. I’ve worked with Revolut, Talos, Lloyds, Barclays, and Credit Suisse, delivering production-grade quant research and execution platforms.

My expertise covers both modelling and engineering:
• Research — ML/AI for price forecasting, order flow, and liquidity modelling
• Development — scalable data pipelines, backtesting engines, and real-time strategy APIs
• Stack — Python (pandas, numpy, scikit-learn, statsmodels), SQL, Airflow, Docker, GCP/AWS

I combine academic rigour with production discipline, translating quantitative insights into automated, deployable systems. Whether you need model design, performance optimisation, or end-to-end research automation, I can help you build data-driven trading solutions that scale.