RM

Raphael Monges

Data Science & Finance Student at Columbia, ESCP & Centrale Supélec

Driven by the intersection of technology and finance, I specialize in quantitative analysis, AI, and financial markets.

Key Achievements

70% Return in 2 Months

Won 2 months ESCP's Long/Short trading competition. Long Publicis and Short Orpea

€22k+ Revenue in 6 Months

As President of Kryptosphere ESCP, managing 40 students.

Founder of Builder's Club

Paris's premier club for young entrepreneurs.

Experience

Apr 2024 – Nov 2024

Quantitative Fixed Income Research Intern

Quant-Fox, Neuilly-sur-Seine

  • Built predictive models for government bond auction yield movements.
  • Developed trading analytics tools (Liquidity Heatmap, Z-score monitors, PCA strategies).
  • Applied XGBoost & RandomForest for market prediction and signal generation.

Oct 2024 – Aug 2025

Founder - Lambda 01

Paris, France

  • Developing a multi-exchange RFQ platform for crypto options trading.
  • Enabling traders to find optimal prices for various strategies.
  • Providing real-time indicators for cross-platform arbitrage opportunities.

Education

Columbia Engineering

New York, US

M.S. in Business Analytics - FinTech

Aug 2025 – Dec 2026

Centrale Supélec

Palaiseau, FR

M.S. in Artificial Intelligence

Sep 2023 – Dec 2024

ESCP Business School

Paris, FR

Master in Management - Financial Markets

Sep 2021 – Dec 2026

Leadership & Entrepreneurship

Builder’s Club(buildersclub.fr)

Founder | Jan 2025 – Aug 2025

Founded Paris's most qualitative club for young entrepreneurs (18-30). Grew to over 45 members, organized 50+ events, and generated over €15k.

Kryptosphere ESCP(Kryptosphere.org)

Founder & President | Jan 2022 – May 2023

Led a 43-student consulting union specializing in Blockchain & AI. Secured €20k+ in sales from startups and large corporations.

Trading & Quant Projects

ENS Challenge Participant: Analyzed electricity price drivers for QRT Cube Research.

Momentum & Trend Strategy: Replicated and optimized trend-following algorithms on FX and BTC markets.

ML for Stock Prediction: Benchmarked LSTM, Random Forest, and XGBoost for asset return prediction.

DeFi Hackathon (2nd Prize): Built a protocol for continuous token flows (HEC x Polytechnique).

Quant Research Project: Explored "Martingale Transport Constraint" in Linear Programming for exotic option pricing.

Skills & Interests

Technical Skills

PythonSQLPandasNumpyScikit-LearnXGBoostBloombergExcel

Languages

French (Native)English (Fluent)Spanish (Professional)

Interests

  • Ski Athlete (Ranked 16th/110,000 in France)
  • Soccer (French University Champion 2022 & 2023)

Highlights

Ski competition

Ski competition

French University Champion 2022

French University Champion 2022