Los Angeles Times
Steve L. is a Principal Software Engineer specializing in Machine Learning at the Los Angeles Times since January 2020, focusing on modernizing the news industry through scalable machine learning and analytics. Previous experience includes roles as a Data Scientist at Zurich North America, where data engineering was key to visualizing scientific findings, and as a Quantitative Research Analyst at Metolius Capital, LLC, emphasizing quantitative investing and macroeconomics. Steve's career began in the quantitative trading field, with positions as a Trading Application Support Specialist at Sterling Trader, INC, and a Quantitative Researcher at Clark Trading. Educational credentials include a Master's degree in High Frequency Finance from the Illinois Institute of Technology and a Bachelor's degree in Financial Mathematics from Wilfrid Laurier University.
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