Hamza Khan — Associate Consultant

Final-year engineering student specializing in Finance and Quantitative Engineering at ECE Paris, an engineering school within the French selective “Grande École” program. I am developing a strong foundation in financial mathematics, algorithmic trading, and data-driven strategy design. My academic background combines rigorous university-level training in mathematics, including linear algebra, real analysis, combinatorics, probability, statistics, as well as advanced topics such as stochastic calculus and optimization, with hands-on programming experience in several languages, especially Python, C, and C++. I have also completed a quantitative finance internship, where I worked on modeling and data analysis. Alongside my studies, I enjoy participating in various competitions and olympiads such as the International Mathematics Competition (IMC), and I am currently finalizing a research paper exploring applications of machine learning in mathematical finance. I also design and backtest systematic trading strategies using historical market data and realistic assumptions. I am particularly interested in data-driven trading models, market dynamics, and the design of robust quantitative strategies. I am continuously building a profile that blends deep mathematical understanding, strong programming capabilities, and applied experience in financial markets. Currently looking for a penultimate year 6 months internship in Quantitative Finance.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative finance and algorithmic trading.

Experience: 0 mo