Jaime Benavides
About Jaime Benavides
Jaime Benavides is an Enterprise Model Risk - Quantitative Modeling Associate at Fannie Mae in the Washington DC-Baltimore Area, with a background in data science, data visualization, and applied mathematics.
Title
Jaime Benavides holds the position of Enterprise Model Risk - Quantitative Modeling Associate at Fannie Mae. In this role, he is based in the Washington DC-Baltimore Area and has been with the company since June 2020.
Company
At Fannie Mae, Jaime Benavides develops analytic insights and informed recommendations using R and Python for quantitative models. His work involves applying mathematical and statistical/econometric techniques to challenge the development, implementation, and usage of models crucial for the enterprise's operations.
Previous Positions
Jaime Benavides has a varied professional background. He worked as a Data Scientist and Data Visualization Engineer at Aventine Analytics from 2018 to 2020 in Notre Dame, IN. In addition, he was a Computer Consultant and DevOps at the Engineering Science and Computing Center at Notre Dame in 2018 for 3 months. His early career also includes roles as a Research Assistant and Mentor for the AEOP, STEM Teacher Volunteer at Christ the King Preparatory School, DSP Software Developer at the University of Notre Dame, IT Helpdesk Consultant at the University of Notre Dame for four years, and a Summer Camp Counselor at Children's Arts and Science Workshops.
Education and Expertise
Jaime Benavides studied Applied Mathematics and Economics at the University of Notre Dame, where he attended from 2016 to 2020. His expertise spans data science, data visualization engineering, quantitative modeling, and the application of mathematical and statistical techniques. During his time at the University of Notre Dame, he developed significant analytic and technical skills, which he has applied throughout his varied career.
Background
Jaime Benavides has built a career rooted in STEM education and technical consulting. He has experience providing IT support, developing software, and conducting data analysis. His volunteer work as a STEM teacher and as a research mentor further highlights his dedication to educational outreach and support.