Pablo Fernández Lobato is a Senior Financial Engineer at Derivative Path since January 2020, focusing on financial engineering and leading AI/ML initiatives to enhance productivity in the fintech industry. Previously, Pablo served as a Financial Engineer, developing software for cloud-based trading platforms and designing mathematical models for pricing and risk assessment of financial derivatives. Prior experience includes working as a Risk Engineer at Interlake Mecalux, Inc., where Pablo managed risk and led a team to optimize safety and production costs, and as a Quantitative Trader at Cecabank, developing high-performance trading strategies. Pablo holds a Master's in Computational Decision Science and Operations Research from Illinois Institute of Technology and two degrees from Universidad Politécnica de Madrid, including a Master's in General Engineering and a Bachelor's in General Engineering.
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