Huang Shi

Senior Manager @ Sallie Mae

About Huang Shi

Huang Shi is a Senior Manager with over a decade of experience in the financial services sector, specializing in model development and quantitative analysis. He has expertise in data analysis tools and holds certifications in statistical analysis software.

Work at Sallie Mae

Huang Shi has been employed at Sallie Mae since 2020, currently holding the position of Senior Manager. Prior to this role, Huang worked as a Statistical Modeler at the same organization from 2018 to 2020. In these positions, Huang has contributed to the development of statistical models and has applied quantitative analysis techniques to enhance financial services.

Education and Expertise

Huang Shi studied at the University of Delaware, where they achieved a degree in Financial Services Analytics from 2016 to 2020. Additionally, Huang holds a Master's degree in Data Communication from The University of Sheffield, completed between 2008 and 2010. Huang is also certified as a SAS Programmer, indicating proficiency in statistical analysis software.

Professional Experience in Financial Services

With over a decade of professional experience in the financial services industry, Huang Shi specializes in model development and quantitative analysis. This extensive background includes hands-on experience with AWS SageMaker, Python, and Tableau, which are essential tools for modern data analysis and visualization.

Team Management and Leadership Skills

Huang Shi possesses over six years of team management experience, showcasing strong business acumen. Huang has demonstrated effective organizational and time management skills, particularly in leading multiple cross-functional projects, which highlights the ability to coordinate and manage diverse teams effectively.

Technical Skills and Tools

Huang Shi has a working knowledge of various optimization packages, including CVX, CPLEX, and LINGO. This expertise emphasizes Huang's skills in mathematical optimization, which is crucial for developing efficient models and solutions in the financial services sector.

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