Geneva based RAM Active Investments (RAM AI) has expanded its systematic research team with two senior appointments; Tony Guida and Nicolas Mirjolet, who bring an extensive and complementary experience to RAM AI research team.
At RAM AI, research plays a key role and is conducted in-house. RAM's researchers explore new ways of extracting information from existing data sources to deliver new sources of alpha, increase diversification and improved liquidity. The investment strategy is based on a bottom-up approach to stock selection, mostly driven by fundamentals and applied in a systematic manner.
Guida joins RAM AI as senior quantitative researcher for systematic equities with an expertise across portfolio management, constructing in-house systematic equity funds, machine learning and research. Prior to joining RAM AI, Guida was a senior quantitative portfolio manager at a major UK Pension Fund, managing multi-factor systematic equity strategies. During his career, he held such positions as senior consultant for smart beta and risk allocation at EDHEC Risk Scientific Beta, and senior research analyst at Unigestion. He is a former member of the research and investment committee for Minimum Variance Strategies, where he led the factor investing research group for institutional clients.
Mirjolet joins RAM AI as senior quantitative researcher with a long-standing expertise in developing and managing systematic scalable global long/short investment strategies. Prior to joining RAM AI, Mirjolet was co-founder and CIO of Tolomeo Capital, a Zurich-based systematic asset manager. As a portfolio manager, he built a successful 7-year track-record on the back of a range of proprietary short-term equity and futures trading strategies across US, European and Asian markets. He started his career as a quant analyst for ETH Zurich spin-off Swissquant before joining the quant and risk-management unit of a multi-billion family office in Zurich.