Luxembourg
I am an aspiring Quantitative Analyst with a strong interest in financial markets, data analysis, and algorithmic trading. I focus on applying Python, statistics, and data-driven methods to analyze financial data, build models, and test investment strategies. My work includes: Financial data analysis using Python (Pandas, NumPy) Backtesting trading strategies Basic machine learning applications in finance Risk and return analysis I actively develop and share projects on GitHub, where I apply quantitative methods to real financial datasets, including stock prices and market data. I use Python extensively to clean, analyze, and model financial data, building practical solutions and testing investment ideas. I am particularly interested in: Quantitative research Algorithmic trading Portfolio optimization Financial modeling Currently, I am developing practical projects to strengthen my skills and build a solid quantitative portfolio based on real-world financial data. I am actively seeking opportunities in: Quantitative Analysis Data Analysis (Finance) Financial Engineering Algorithmic Trading
Our mission is to protect and compound capital.
Portfolio Manager (Self-Managed Capital) Global Equity Investing • Managing a concentrated portfolio of global equities with a long-term horizon • Developed and applied WOS framework to classify businesses by compounding power • Focus on capital protection and asymmetric return opportunities • Continuous monitoring of earnings, competitive positioning, and valuation