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I'm Jeroen Bouma, a Quantitative Investment Strategist at a.s.r. asset management, part of one of the largest Dutch insurers. As part of the team I have contributed significantly to building and using the models behind our Solvency II internal model calculations, lifecycle investing and portfolio optimization, as well as forecasting and generative AI applications built on agentic frameworks and RAG. I also contribute to the yearly Strategic Asset Allocation through the economic scenario calibrations.

Before a.s.r., I was Product Manager at OpenBB, a start-up that set out to compete with Bloomberg through open source, and I advised Dutch pension funds on ALM at PGGM. What ties these experiences together is bringing quantitative finance and Python together.

In my own time I build open-source tools for financial analysis. Together they have over 17,000 GitHub stars and 1.4 million downloads, and are used by thousands of developers, researchers and investors:

• Finance Toolkit: 500+ financial methods, from ratios and valuation models to risk, performance and econometrics, each written out so you can see exactly how a number is calculated. Its MCP server makes all of it available to AI assistants such as Claude and ChatGPT.
• Finance Database: 300,000+ symbols across Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets, organised by country, sector and industry.

On my website you'll find my resume, the documentation and examples for these projects, a guide on building financial models with Python and AI, my talks and articles, and the literature I've studied.