Jared Praniewicz

Jared Praniewicz

Senior Manager, Financial Data Scientist @ Transamerica

About Jared Praniewicz

Jared Praniewicz is a Senior Manager and Financial Data Scientist with extensive academic qualifications, including a PhD in Applied Mathematics and an MBA. He currently works at Transamerica and Aegon Asset Management, leveraging his expertise in quantitative research and financial data analysis.

Work at Transamerica

Jared Praniewicz has been employed at Transamerica since 2020, holding the position of Senior Manager, Financial Data Scientist. In this role, he utilizes his expertise in financial data analysis to support the company's objectives. His work involves developing data-driven strategies and insights to enhance financial decision-making processes. Praniewicz's contributions are significant in the context of Transamerica's operations in Baltimore, Maryland.

Current Role at Aegon Asset Management

In addition to his position at Transamerica, Jared Praniewicz serves as a Senior Quantitative Research Analyst at Aegon Asset Management since 2022. His responsibilities include conducting quantitative analysis to inform investment strategies and risk management. This role complements his work at Transamerica, allowing him to apply his analytical skills in the asset management sector.

Education and Expertise

Jared Praniewicz has an extensive educational background in mathematics and business. He earned a Doctor of Philosophy (PhD) in Applied Mathematics from the University of Maryland Baltimore County, completing his studies from 2016 to 2021. Additionally, he holds an MBA and a Master of Science in Business Analytics (MSBA) from the University of Maryland - Robert H. Smith School of Business, where he studied from 2007 to 2010. He also obtained a Master's Degree in Applied Mathematics from The Johns Hopkins University between 2012 and 2014, and a Bachelor of Science in Electrical and Computer Engineering from Virginia Tech from 1999 to 2004.

Professional Background

Jared Praniewicz has built a diverse professional background in financial data science and quantitative research. His roles have involved applying mathematical principles to solve complex financial problems. His experience spans various sectors, including asset management and financial services, enabling him to develop a comprehensive understanding of data analysis in these fields.

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