About

Tomoko Nagai is an experienced Senior Associate with over 26 years of experience working in the banking industry. She is skilled in client relations in the custody banking and has a strong professional background with a Master of Arts (M.A.) focused on Economic, Social, and Political Development from Columbia University - School of International and Public Affairs. Currently, Tomoko works as a Machine Learning Data Linguist II at Amazon, where she has built speech and language solutions that power Voice Search on Japanese Alexa. She has also written guidelines of a new methodology on the company's internal website, handled unique data analysis requests from a range of internal data customers, conducted computer programming and system error analysis, and presented regression-free fix paths. Tomoko has developed methods of organizing information depending on data characteristics and provided technical training and coaching for new team members. In her previous role as a Machine Learning Data Linguist I at Amazon, Tomoko's responsibilities were similar to her current role. She built speech and language solutions that power Voice Search on Japanese Alexa, wrote guidelines of a new methodology on the company's internal website, handled unique data analysis requests from a range of internal data customers, conducted computer programming and system error analysis, and presented regression-free fix paths. She developed methods of organizing information depending on data characteristics and provided technical training and coaching for new team members. Before joining Amazon, Tomoko worked as a Senior Associate at Sumitomo Mitsui Trust Bank (U.S.A.) Limited. Her responsibilities included managing day-to-day inquiries related to custody operations in Corporate Action, Income, 1042s, and Proxy. She also expedited Corporate Action instructions within tight schedules, spearheaded efforts to optimize 1042s data according to customers' requests, investigated root causes, and explained countermeasures to customers. Tomoko organized lists of pending inquiries to report their status, liaised between sub-custodian/other departments and clients, coordinated alteration of SWIFT messages to accelerate customer's operations, structured efforts to elaborate Corporate Action announcements, customized cash dividend reception for clients, optimized F/X confirmation distribution to customers, and provided comprehensive training for new team members. Tomoko's education history includes a Master of Arts (M.A.) focused on Economic, Social, and Political Development from Columbia University - School of International and Public Affairs and a Bachelor's degree in Economics from Tohoku University. Her tech stack includes ML, Search, and Swift.