Daniel Uhlemann's Linkedin Analytics

I leverage 15+ years of experience in finance, risk, investment, data analysis to provide independent, unbiased, and no-conflict-of-interest solutions. Offering customized strategies that are based on data and network driven insights to optimize performance and mitigate risks. I am an autodidact who is passionate about data, quantum computing, macro investment, healthcare, ageing society, and biotech. I have a formal financial and applied statistics background, completed the CFA curriculum and Artificial Intelligence Programme at Saïd Business School, University of Oxford. I worked as an external consultant for McKinsey & Company and the European Central Bank, delivering high-quality projects on public sector and government consulting projects for risk, regulations, data, IT, and models. I am a team player and purpose-driven professional who believes in a remote-hybrid balanced work-life. I support flat hierarchy, diverse and matrix based team structures. I am a strong believer in the European Union, Digital Fiat, Distributed Networks, Quantum Computing for Good.