Akira Sano

Sr. Model Validation Specialist, VP at Sumitomo Mitsui Financial Group

Akira Sano has extensive experience in the field of finance and mathematical modeling. Their most recent position was as a Senior Model Validation Specialist, VP at SMBC Group. Prior to that, they worked as a Model Validation Consultant at Bank of China. They also held the role of Senior Associate at KPMG US, where they were involved in client-facing advisories and auditing. In addition, Akira Sano worked as a Quantitave Analytics Senior at Freddie Mac, where they validated and analyzed mortgage-related credit and market risk models. They also have experience in academia, having held positions as an Assistant Professor at Benedictine University, Adjunct Faculty at St. Louis Community College, Visiting Researcher at the Institute des Hautes Etudes Scientifiques, Visiting Assistant Professor at the University of Missouri - St. Louis, and Research Fellow at Ben-Gurion University. They also had a brief stint as a Visiting Researcher at Max-Planck Institut fur Mathematik. Overall, Akira Sano has a strong background in mathematical modeling, risk analysis, and finance.

Akira Sano obtained a Ph.D in Mathematics from the University of Illinois at Champaign-Urbana in the period from 1995 to 2004. In addition, Akira obtained various certifications from LinkedIn in 2020, including "Connecting with Executives," "Consulting Foundations: Client Management and Relationships," "Consulting Foundations: The Concept of Value," "Creating Great First Impressions," "Data Analytics for Business Professionals," "Data Visualization for Data Analysts," "Getting Your Ideas Approved," "Learning SQL Programming," and "Learning VBA in Excel." Furthermore, Akira completed several online courses in 2020 and 2019 through platforms such as Coursera, acquiring knowledge in subjects such as "Practical Machine Learning," "Survival Analysis in R for Public Health," "Regression Models," "Statistical Inference," "Data Science: Foundations using R Specialization," "Exploratory Data Analysis," "Reproducible Research," "Getting and Cleaning Data," and "R Programming."

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