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Jaap Rommelaar is the Head of Data Science at Robeco, a prominent international asset manager. With a strong academic background, including a PhD in Physics from Utrecht University, Jaap brings a deep quantitative and analytical skill set to the financial industry. He leads a team focused on applying advanced data science, artificial intelligence (AI), and machine learning (ML) techniques to enhance investment strategies, risk management, and operational efficiency. His expertise lies in translating complex data into actionable insights and developing innovative solutions for financial markets. Jaap is passionate about leveraging cutting-edge technology to drive performance and innovation within asset management, fostering a data-driven culture within his organization.
Jaap Rommelaar's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and develops the data science capabilities at a major international asset management firm, integrating AI and ML into core investment processes and strategic decision-making.
Earned a Doctor of Philosophy in Physics from Utrecht University, providing a strong foundation in quantitative research, complex problem-solving, and analytical thinking, which he applies to the financial domain.
Actively involved in the research, development, and implementation of novel artificial intelligence and machine learning models for applications such as alpha generation, risk assessment, and sustainable investing.
Demonstrated progressive growth and leadership within Robeco, having joined in 2006 and advancing to roles of increasing responsibility, culminating in his current position as Head of Data Science.
Erasmus University Rotterdam - Year 2006
Universidad Torcuato Di Tella - Year 2005
Erasmus University Rotterdam - Year 2000
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
ZoomAgri is an AgTech company revolutionizing agricultural commodity quality assessment and traceability through Artificial Intelligence, Computer Vision, and IoT. They provide rapid, accurate, and objective analysis of grains, oilseeds, and legumes, empowering farmers, traders, and food processors with actionable data to improve decision-making, reduce waste, and enhance transparency across the supply chain.
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