Quant Finance Mentoring · Geneva & Online · Interview Prep · Trading Strategy

Gain an insider's edge in quantitative finance

15 years trading Equity Index Futures at Société Générale, Morgan Stanley, Squarepoint Capital and Z3 Capital. I bring real market-room expertise to every session — not textbook theory.

01 — Who is this for?

From aspiring quants to active traders

Aspiring Quants

Finance students and graduates preparing for quant interviews at investment banks, hedge funds or proprietary trading firms.

Finance Professionals

Practitioners looking to deepen their quantitative skills — statistical modelling, derivatives pricing, machine learning in finance.

Independent Traders

Retail or semi-professional traders who want to systematize, backtest and optimize their personal account (PA) with a quantitative edge.

→ Also offering science tutoring (Maths · Physics · CS)
02 — Services

Three offerings, one standard of rigour

Quant Interview Preparation

Intensive preparation for quant roles at banks, hedge funds and prop shops — covering every dimension of the technical interview process.

  • Probability, combinatorics & brain teasers
  • Stochastic calculus & Itô's lemma
  • Derivatives pricing (Black-Scholes, Greeks)
  • Statistics, regression & time series
  • Risk management fundamentals
  • Coding challenges in Python & C++
  • Market microstructure & HFT concepts
  • Mock interviews with live feedback

Theoretical Quant Trading

A structured curriculum in systematic and quantitative trading strategies, grounded in real institutional practice.

  • Statistical arbitrage & pairs trading
  • High-frequency & intraday strategies
  • Factor models & portfolio construction
  • Machine learning & alternative data
  • Options theory & volatility modelling
  • Risk & drawdown management frameworks
  • Market impact & execution algorithms

PA Quant Trading

Hands-on coaching to design, build and optimize a systematic trading strategy for your personal account — from idea to live execution.

  • Strategy design & hypothesis testing
  • Backtesting frameworks (Python / vectorbt)
  • Walk-forward & out-of-sample validation
  • Position sizing & risk management
  • Broker & platform setup (IBKR, etc.)
  • Live implementation & monitoring
  • Continuous improvement loop
03 — Professional experience

15 years at the frontier of quant trading

A career spanning sell-side structuring, high-frequency proprietary trading, low-latency execution, machine learning research and risk oversight — across Paris, Hong Kong and Geneva.

2019 – 2024
Z3 Capital · Geneva
Chief Risk Officer & Senior Quantitative Trader
  • Director and CRO of the fund
  • Overseeing all investment risks across the portfolio
2016 – 2019
Squarepoint Capital · Paris
Quantitative Intraday Trader & Researcher
  • Global intraday Equity Index Futures strategies
  • Alternative data mining & machine learning signals
  • Deep neural networks for signal enhancement
2014 – 2016
Morgan Stanley · Hong Kong
Executive Director — Institutional Equity Division
  • Quantitative prop trading, low-latency group
  • Algorithmic & automated trading platform for Index Futures
  • Financial data wrangling & structured dataset construction
2009 – 2014
Société Générale CIB · Hong Kong
Quantitative High-Frequency Prop Trader — Equity Index Futures
  • Multi-futures systematic arbitrage strategies
  • Complex statistical models on very large datasets
  • Stable, leverageable correlation signals across securities
04 — Why Fabrice?

Real markets, real edge

01

15 years of live trading across HFT, intraday, derivatives and risk — at major international investment banks and multi-billion-dollar hedge funds.

02

Both buy-side and sell-side experience. From proprietary trading at Société Générale Hong Kong to running systematic strategies at Squarepoint and Z3 Capital.

03

A pedagogy built on clarity and rigour — grounded in hands-on expertise in data science, statistical modelling and machine learning, developed and battle-tested on live financial markets.

05 — Contact

Ready to level up?

Tell me about your background, your target role or trading goal, and your timeline. I'll get back to you quickly to define a tailored programme.

→ Connect on LinkedIn