Jasmine(jia) Geng
About Jasmine(jia) Geng
Jasmine (Jia) Geng is the Head of Data Science, Investment and Finance at MassMutual in Boston, Massachusetts, where she leads a team of data scientists, project managers, and product managers.
Current Title at MassMutual
Jasmine (Jia) Geng is the Head of Data Science for Investment and Finance at MassMutual, located in Boston, Massachusetts. In this role, she manages a team comprised of Data Scientists, Project Managers, and Product Managers. Her responsibilities include overseeing two major portfolios with more than 20 projects. Jasmine leads large-scale, cross-functional projects that cover research, analytics, machine learning models, and software development. She emphasizes creating a collaborative environment within her team.
Previous Roles at MassMutual
Prior to her current role, Jasmine (Jia) Geng served as a Senior Data Scientist and Assistant Vice President (AVP) at MassMutual from 2016 to 2018. During her tenure, she operated in the Greater Boston Area, contributing to various strategic projects within the organization. Her previous experience at the company has provided her with a robust understanding of MassMutual’s data science and analytics needs, bolstering her current capabilities as a department head.
Past Experience at Citi and InVentiv Health Commercial
Jasmine (Jia) Geng worked at Citi as a Model/Scoring/Analytics Manager and Vice President from 2015 to 2016 in Stamford, CT. She later joined inVentiv Health Commercial as a Senior Research/Statistical Analyst, where she worked from 2012 to 2015 in Burlington, MA. These roles allowed her to hone her skills in data analysis, modeling, and statistical research, which she now leverages in her current leadership position.
Educational Background in Mathematical Finance and Mathematics
Jasmine (Jia) Geng obtained her Master of Science in Mathematical Finance from Rutgers University, where she studied from 2010 to 2012. Before that, she earned her Bachelor of Science in Mathematics and Applied Mathematics from Fudan University, studying from 2006 to 2010. Her strong educational background in mathematics and finance is a cornerstone of her expertise in data science and analytics.