Nadia Anderson
About Nadia Anderson
Nadia Anderson is the Lead Data Science Associate at Fannie Mae with a strong background in mortgage finance, credit risk, and counterparty risk.
Title
Nadia Anderson holds the position of Lead Data Science Associate at Fannie Mae. Her role encompasses leading analytical projects with a focus on effective planning, customer service, and execution excellence. She is known for her strong background in mortgage finance, particularly in areas of credit risk and counterparty risk.
Professional Experience at Fannie Mae
Nadia Anderson's tenure at Fannie Mae includes various key positions. She started as a National Customer Delivery Team Intern in 2017, followed by roles such as Analytics Associate from 2018 to 2019, Data Science Associate from 2019 to 2020, and Senior Data Science Associate from 2020 to 2022. Currently, she serves as the Lead Data Science Associate. Her work primarily spans the Washington D.C. Metro Area.
Early Career and Internships
Before her significant roles at Fannie Mae, Nadia Anderson gathered diverse experience through various internships. She worked as a Market Regulation Intern at the Financial Industry Regulatory Authority (FINRA) for three months in 2016, and as a Financial Advisor Intern at Raymond James Financial, Inc. for two months in 2015. Additionally, she interned at the University of Maryland's Economics Department as a Research Intern in 2013, gaining early exposure to the financial and economic sectors.
Educational Background
Nadia Anderson graduated summa cum laude from the University of Maryland, College Park, achieving dual degrees in Mathematics and Finance between 2014 and 2018. Her academic background laid a strong foundation for her career in data science and finance, providing her with critical analytical and financial skills.
Teaching and Mentorship
During her academic years, Nadia Anderson worked as a Calculus Teaching Assistant at the University of Maryland from 2017 to 2018, where she contributed to the academic development of students. Additionally, at Montgomery Blair High School, she worked as a Student Aide in Mathematics from 2013 to 2014. She is experienced in developing junior analytical talent, showcasing her dedication to teaching and mentorship.