I study financial engineering at ESILV Paris, with a strong interest in investment analysis, portfolio construction and decision-making systems for investors.
I build production-grade financial tools: a French small-cap screener designed for buy-side research workflows, a multi-asset wealth tracker with Monte Carlo projections and efficient frontier analysis, a C++ derivatives pricing engine covering Black-Scholes, Cox-Ross-Rubinstein and Monte Carlo simulation, and full-stack applications spanning desktop tools, REST APIs and modern web front-ends.
I believe the most valuable finance skills today sit at the intersection of markets, software and rigorous investment thinking — and I build accordingly.
Currently seeking an internship in investment management, asset management, private equity, family office or fintech.
- Programme — Financial Engineering (Ingénierie Financière), ESILV Paris — Grande École
- Founder — Occifloc · Family business managing B2B textile customisation projects, supplier relationships and business development
- Languages & Certifications — French (native) · English (professional) · AMF Certification
- Location — Paris, France
| Project | Description |
|---|---|
| small-cap-screener | Institutional-grade desktop screening platform for French small caps with KPI engine, scoring models and analyst workflow |
| portfolio-tracker | Full-featured personal and family wealth tracker — Monte Carlo projections, efficient frontier, cash flow visualisation |
| Site_stage | Personal portfolio / career site built with Next.js and TypeScript |
small-cap-screener · Python / Desktop Research Platform
Institutional-grade screening platform for French small caps (Euronext Paris + Growth), designed for buy-side research workflows. Includes financial normalization pipelines, KPI engine, scoring models, ranking systems, analyst watchlists, exclusions, investment notes and exportable screening snapshots. Built with strict UI → Services → Repositories architecture.
Python SQLAlchemy SQLite pandas pytest yfinance Desktop UI
portfolio-tracker · Python / PyQt6
Consolidated wealth management application covering equities, real estate, private equity, savings and credit. Features Monte Carlo simulations and stress testing, efficient frontier analysis, multi-currency FX-adjusted positions, Sankey cash flow diagrams, and PDF wealth report exports. Optional remote sync via Turso/libSQL. 211 automated tests.
PyQt6 pandas NumPy SciPy Plotly yfinance SQLite fpdf2
github-project-template · Python / Engineering Workflow
Professional Python project template designed for production-grade development. Includes strict architecture enforcement, Conventional Commits, semantic releases, Ruff, Black, Mypy, pre-commit hooks, GitHub Actions CI/CD and dedicated instructions for AI coding agents (Codex, Claude, Cursor).
Python Ruff Black Mypy pre-commit GitHub Actions semantic-release
options-pricing-cpp · C++17
Derivatives pricing library implementing Black-Scholes closed-form, Monte Carlo simulation (with 95% confidence intervals) and Cox-Ross-Rubinstein binomial tree with early exercise detection. Supports European vanilla, European digital, American and Asian arithmetic options.
C++17 Standard Library Black-Scholes Monte Carlo CRR
SportTrack · Python / FastAPI
Full-stack multi-user training analytics platform. OAuth2 Strava integration with automatic token refresh, ATL/CTL training load computation, individual and group performance dashboards, goal tracking, and a complete REST API with interactive documentation.
FastAPI SQLModel Streamlit Plotly PostgreSQL pytest
ml-portfolio-optimization · Python / scikit-learn
Academic project comparing classical and ML-based portfolio allocation strategies on S&P 500 data. Benchmarks Equal-Weight, Markowitz MVP, Random Forest and Logistic Regression approaches using Sharpe ratio, Calmar ratio and drawdown metrics.
scikit-learn pandas NumPy Matplotlib
Quantitative-Finance-Dashboard · Python / Streamlit
Interactive backtesting platform modelling a quantitative research workflow. Single-asset module: Buy & Hold, Moving Average Crossover and Regime Switching with Sharpe ratio, drawdown and annualised return metrics. Multi-asset module: portfolio construction with rebalancing, risk contribution decomposition, correlation and covariance analysis. Includes automated report generation via cron scheduling.
Streamlit pandas yfinance Matplotlib
Languages
Data / Quantitative
Frameworks & Tools
Infrastructure
Investment Management · Asset Management · Small Cap Investing · Portfolio Construction · Private Equity · Family Office · Financial Software · Fintech · Software Engineering · Entrepreneurship
I am particularly interested in roles where investment judgment and analytical rigor meet.
Looking for a 6-month internship starting from September 2026 or early 2027, through September 2027, in:
- Investment management · asset management · multi-family office
- Equity research · buy-side analysis · small/mid-cap investing
- Private equity · venture capital · growth equity
- Fintech · financial software engineering
Open to positions in Paris, London or internationally.
| linkedin.com/in/maxime-farre | |
| Portfolio | maxime-farre.xyz |
| maxime@maxime-farre.xyz |


