Ryan Danison

About Ryan Danison

As a Quantitative Analytics Group Manager at PNC, I lead a team of data scientists to develop, deploy, and validate machine learning models, specializing in NLP for marketing and credit risk within the balance sheet analytics and modeling division. I have over 14 years of experience in data analysis, analytical skills, and model development, with a strong background in statistics and business administration.My mission is to enable data-driven decision making and optimize business outcomes by leveraging advanced statistical techniques, cloud data pipeline, and visualization tools. I have successfully implemented supervised machine learning algorithms for credit risk management, executed data aggregation and loss forecasting solutions, and establishing technical road maps for enterprise model suites. I have also contributed to multiple publications in peer-reviewed journals and served as a statistical consultant and instructor for various academic and industry projects.

Experience

1. Quantitative Analytics & Model Development Group Manager

   PNC

   Oct 2022 — Present

   Balance Sheet Analytics & Modeling (BSAM)| Retail Banking, Quantitative Analytics & Model Development at PNC Bank (present)Decision Science & Analytics | Retail Lending and Decision Management (October 2022 - June 2023)

Education

• Canisius University

  Bachelor of Arts, Mathematics

  2004 — 2006

• University at Buffalo

  Master of Arts, Biostatistics

  2006 — 2008

• University of Rochester - Simon Business School

  Master of Business Administration - MBA

  2018 — 2020

Skills

• Financial Modeling
• Quantitative Analytics
• Minitab
• Latex
• Statistics
• Credit Risk
• Sas
• Analysis
• Analytics
• Sas Programming
• Microsoft Excel
• Powerpoint
• Research
• R
• Statistical Modeling
• Databases
• Public Speaking
• Predictive Modeling
• Microsoft Sql Server
• Banking
• Risk Management
• Data Mining
• Data Analysis
• Wit
• Leadership
• Training & Development
• Clinical Trials