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MaximeFARRE/README.md

Maxime Farré

Typing SVG



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.



About

  • Programme — Financial Engineering (Ingénierie Financière), ESILV Paris — Grande École
  • FounderOccifloc · Family business managing B2B textile customisation projects, supplier relationships and business development
  • Languages & Certifications — French (native) · English (professional) · AMF Certification
  • Location — Paris, France


Currently working on

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


Featured Projects


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


Tech Stack

Languages

Python C++ TypeScript SQL

Data / Quantitative

pandas NumPy SciPy scikit-learn Plotly

Frameworks & Tools

FastAPI Streamlit Next.js React Tailwind CSS

Infrastructure

PostgreSQL SQLite Docker Git GitHub Actions



Interests

Investment Management · Asset Management · Small Cap Investing · Portfolio Construction · Private Equity · Family Office · Financial Software · Fintech · Software Engineering · Entrepreneurship



Open to opportunities

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.



GitHub Activity

GitHub stats    Top languages



GitHub streak



Contact

LinkedIn linkedin.com/in/maxime-farre
Portfolio maxime-farre.xyz
Email maxime@maxime-farre.xyz


Financial Engineering · ESILV Paris · Open to internship opportunities 2026–2027

Pinned Loading

  1. portfolio-tracker portfolio-tracker Public

    PyQt6 desktop app for personal and family wealth tracking portfolio, credits, projections, and cash flow. Local SQLite, optional Turso sync.

    Python

  2. small-cap-screener small-cap-screener Public

    Professional screener for French small-cap companies; financial analysis, multi-factor scoring, and investment decision support.

    Python 1

  3. options-pricing-cpp options-pricing-cpp Public

    C++ implementation of European, American and Asian option pricing using Black-Scholes, Monte Carlo simulation and CRR binomial tree.

    C++

  4. Quantitative-Finance-Dashboard Quantitative-Finance-Dashboard Public

    Streamlit dashboard for backtesting systematic trading strategies (MA Crossover, Regime Switching) on stocks, indices, forex and commodities — with automatic parameter optimization, trade analytics…

    Python

  5. ml-portfolio-optimization ml-portfolio-optimization Public

    Portfolio allocation strategies benchmarked on S&P 500 data — comparing Equal-Weight, Markowitz MVP, Random Forest and Logistic Regression with full backtesting and risk metrics. Final ML project a…

    Python

  6. SportTrack SportTrack Public

    Multi-user sports training tracker — imports Strava activities, computes training load (ATL/CTL), and displays individual and group dashboards. Built with FastAPI, SQLModel, and Streamlit.

    Python