Edmond de Rothschild Asset Management has recruited a six-person active management quant team in a new departure for the Geneva-based firm.
Headed by industry veteran Bruno Taillardat, it includes senior quant portfolio managers, Xavier Marconnet and Frédéric Girod, who will be joined by two quantitative portfolio managers and a quant research analyst.
The new quant team will build an active return strategy with a decision-making process, based on advanced mathematical models and using computer-driven algorithms & machine learning.
The new product range will complement Edmond de Rothschild AM’s traditional active management product range with an additional risk/return mechanism.
Bruno Taillardat, Head of Quantitative portfolio management, has a 25 year track record in quant investing. He joins from Amundi Paris where he held the same role since 2016.
Prior to that he was Head of Equity Investments and Quantitative & Fundamental Research at Unigestion for 9 years. He started his career in 1998 at Paribas Asset Management in the US Equities team as a quant analyst, and was made Head of International Equity Quantitative research in 2003.
He will be based in Geneva, reporting into Edmond de Rothschild AM’s CIO Benjamin Melman, and will start on November 1st 2025.
Xavier Marconnet, Lead Quantitative portfolio manager, joins from Unigestion where he led the “Core AI” active equity strategies, focusing on the integration of machine learning and responsible investing.
Frédéric Girod, Quantitative analyst and portfolio manager, joins from Koch Supply & Trading. Previously, he was a Quantitative Analyst/Data Scientist at UEFA and founded Anaxagore Advanced Analvtics, where he developed data-driven strategies focusing on derivatives.
Marconnet and Girod will also start on November 1st 2025, will be based in Geneva and report into Bruno Taillardat.
Christophe Caspar, CEO of Edmond de Rothschild Asset Management, said: “AI and machine learning are gaining momentum in quantitative investing, and are increasingly used for predictive modelling, and portfolio optimization.
“Quantitative methods also offer the flexibility, scalability, and precision needed to deliver highly tailored ESG strategies to investors. We will aim to create a range of products aligned with institutional and retail/private client’s needs which incorporate these characteristics.”
Edmond de Rothschild AM manages €107 billion AuM on behalf of institutional clients and distributors.
