Michael leads the AI team at London-based fintech startup, Tradeteq. The firm uses AI to facilitate supply chain predictive analysis, transaction level credit scoring, and portfolio composition. Tradeteq is at the centre of industry efforts to transform trade finance into an investable asset class. Its technology is being explored by some of the world’s largest banks, hedge funds, asset managers, insurance companies and trade associations. Michael is responsible for applying cutting-edge machine learning techniques to make trade finance more transparent, predictable and fair. Previously, Michael worked as a quantitative researcher, structurer, and derivatives trader for a number of City firms, including Merrill Lynch. He holds a PhD in Mathematics from University of Amsterdam.
