ENSAE Paris × UC Berkeley MFE
Elouan Bahri
Engineering student and quantitative finance enthusiast, building at the intersection of markets and software.
I'm an ENSAE Paris engineering student and Master in Financial Engineering (MFE) candidate at UC Berkeley, graduating in February 2027. Passionate about quantitative finance and computer science, I bring strong determination, energy, and a fast-learning mindset to every project I take on.
- Graduating
- Feb 2027
- Based between
- Paris & Berkeley
- Focus
- Quant Finance × CS
Selected projects
A few things I've built recently.
Options Pricing Engine
A Monte Carlo and Black-Scholes pricing engine for European and American options, benchmarked against live market data.
Portfolio Risk Dashboard
An interactive dashboard visualizing portfolio VaR, drawdowns, and factor exposures in real time.
Market Sentiment Model
An NLP model classifying financial news sentiment to generate systematic trading signals.
Skills
Tools and areas I work with regularly.
Quant & Finance
- Derivatives Pricing
- Statistics & Probability
- Time Series Analysis
- Portfolio Theory
- Bloomberg Terminal
Software Engineering
- Python
- C++
- TypeScript
- React / Next.js
- SQL
Data & ML
- NumPy / Pandas
- PyTorch
- Machine Learning
- Data Visualization
Tools
- Git
- AWS
- Excel / VBA
- Linux
Let's talk
Open to conversations about quantitative finance, software engineering, and opportunities. Reach out any time.