About Thomas
Thomas has over 17 years of experience as a Data Analyst, Quant Developer or Business Analyst, and has notably worked with energy consumption, client behavior and financial markets data, as well as on systematic trading and market screening systems. He holds two MSc. in Statistics and in Physics from UCLouvain and has experience in predictive modeling.
English
Native or bilingual
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- TPL ConsultingData Analyst, Quant DeveloperJanuary 2018 - November 2025 (7 years and 10 months)- Data analysis & equity market screening (matlab): performed data analysis and supervised classification (comprehensive screening engine) to identify position trading opportunities across global equity markets on a daily basis (data acquisition with APIs, trend following strategies, custom visualization, parallel computing, deployment in production.- Algorithmic trading (python, mql5): developed and backtested mid-frequency algorithmic trading systems (long/short trend following, mean reversion), coded advanced day trading indicators to support discretionary trading decisions. Currently extending a systematic trading infrastructure in Python.- Proprietary trading: conducted position trading/investing in equity and crypto markets, and shared insights over 2024-2025 (metrics available upon request).
- ENGIEBusiness & Market AnalystJuly 2012 - December 2017 (5 years and 5 months)Brussels, Belgium- Data analysis (SQL, python): applied SQL queries and ML classification techniques to cluster of clients behavior from smart thermostat data and produce energy efficiency insights.- Power market modelling: modelled the LT Italian supply, demand and power prices as a key driver for strategic positioning and investment files.- Consulting in economic modelling (Excel): designed total cost of ownership models comparing green mobility solutions across energy types. Cooperated with M&A teams on assets valuations. Managed budgets, relationships with internal clients, and VIEs.- Market analysis: studied green mobility market potential, competition & regulation.
- Electrabel SASenior Forecasting OfficerMarch 2008 - June 2012 (4 years and 3 months)Brussels, Belgium- Statistical modelling and forecasting (matlab, SAS): developed predictive models for the Belgian electricity/gas consumption.- Peak gas demand estimation (matlab): optimized estimation with 8% cost savings.
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Education
- Diploma of Advanced Studies in StatisticsUCLouvain2006Diploma of Advanced Studies in Statistics
- MSc. in StatisticsUCLouvain2005MSc. in Statistics