Quantitative analyst and Python developer based in Luxembourg. I build risk and trading analytics, ETL pipelines, and dashboards that turn messy data into decisions.
I hold an MSc in Finance and Economics (Risk Management) from the University of Luxembourg, with hands-on experience in the Luxembourg fund industry at Innpact — building Python ETL pipelines, dashboards, and standardised data-intake workflows for impact funds and UCITS / AIF vehicles.
I also run PyQuantLab, where I design and ship commercial quantitative tools including VecTester, a professional backtesting studio, and live algorithmic trading systems for crypto markets.
Featured Work
A professional backtesting studio built on vectorbt. Walk-forward analysis, Monte Carlo simulation, strategy comparison, and HTML report export — all in a native PyQt5 interface.
Published Work
In-depth guides on quantitative finance, backtesting, and Python for systematic trading.
Products
Desktop apps and open-source toolkits for quantitative research and analysis.
Writing
Insights, tutorials, and research on quantitative finance and Python.
Get in touch
Have a role, a project, or just want to chat? Reach out — I typically respond within 24 hours.