Jack Deegan is currently a Project Leading Data Scientist at FactSet Research Systems, where they spearhead initiatives in AI-driven data value extraction. They are pursuing a Master of Science in Quantitative Finance and Risk Analytics and previously earned a B.S. in Mechanical Engineering from Rensselaer Polytechnic Institute. Jack has demonstrated expertise in machine learning and artificial intelligence within portfolio risk modeling and has held roles that include managing an investment portfolio and developing algorithms to optimize cash flows. They achieved first place in the 2023 Hack-A-Thon for their work in quantitative financial analytics and received commendation during their internship for exceptional dedication and teamwork.
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