Nathan Lee
Quantitative Analytics Executive | GenAI & Unstructured Data Strategy | 20+ Yrs in Banking & AI
- Role
- Quantitative Solutions Engineering Senior Manager, Enterprise Customer Excellence at Wells Fargo
- Location
- Aliquippa, PA, US
- LinkedIn followers
- 500 followers
About Nathan Lee
10+ years of experience in credit risk statistical modeling (pricing, PPNR, loss prediction, CCAR), marketing risk, quantitative research, machine learning, natural language processing (NLP) modeling, large language modeling (LLM), and generative artificial intelligence (GenAI) modeling. • Manage a global team of 20+ data analysts, data scientists, and data engineers to generate quantitative insights and develop analytical solutions using unstructured data (voice/text transcripts/emails/questionnaires, etc.) to solve business problems at scale. • Responsible for identifying opportunities to improve customer experience using machine learning and AI modeling. Lead data exploration and model development to evaluate and improve customer experience using unstructured data, structured operational data, and customer interaction data. • Focus on AI modeling exploration and enhancement, using large language models such as BART, BERT, XLNet, Flan-T5 to identify customer call reasons and generate automatic text summaries to further improve customer experience.
Experience
Quantitative Solutions Engineering Senior Manager, Enterprise Customer Excellence
Jun 2016 — Present · CA, US
Education
Illinois State University
M.S. in Statistics
University of San Francisco School of Management
MBA
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