Geoffrey Ducournau, PhD

Leading a team of 5 researchers building data-driven AI solutions for financial institutions. Key projects include:

• Multi-layered RAG AI pipeline for Treasury Middle Office at Doha Bank (on-premise LLMs, 100% data privacy)
• AI Vision system for automated drought damage assessment at Eurexo-CED Group using YOLO and SAM3 distillation
• End-to-end market making algorithm for The Group Securities on Qatar Stock Exchange

Led development and implementation of systematic trading strategies from research and backtesting to production deployment.

• Managed CTA strategies for institutional clients including Qube Research & Technologies and Bainbridge Partners LLP
• Built systems to automate integration of client trading desks into our infrastructure
• Efficient signal delivery with minimal latency and zero failover

Industrial PhD (CIFRE) focusing on market microstructure theory and stochastic processes for quantitative trading.

• Realized volatility estimation under microstructure noise and optimal execution strategies
• Statistical frameworks for high-frequency data analysis including point process models for order flow dynamics
• Signal processing through efficient volatility modeling and price impact estimation

Full-cycle M&A participation including the acquisition of a top 3 French tourism company.

• Integration planning and post-closing deal execution for debt and equity investments