John Perez
Senior Managing Director, Finance Analytics at Webster Bank
Based in Avon, United States
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Seniority
C-Team
Department
Finance & Accounting
Location
Avon
Industry
Banking
Company size
5.6K
Contact information
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j•••••••@websterbank.com
Phone
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Background
About John Perez
John Perez is an executive in the financial services industry. His management expertise is predictive & descriptive analytics with a focus on loss-reserving, credit underwriting, portfolio analysis, stress-testing, model validation, and tactical asset allocation. He is recognized as an accomplished multifunctional analytics professional with experience and demonstrated success in building, leading and collaborating with teams that develop quantitative models to consistently leverage the latest data, technology and analytics to deliver value, competitive advantage and mitigate risk. He is proficient managing the analytic lifecycle though project definition to model deployment, validation and maintenance. As a facilitator and communicator, John has extensive experience interacting with C-suite executives, regulators and auditors. His ability to drive strategic vision and generate consensus and action across all levels of an organization has been vetted in the Banking, Insurance and Investment industries. John's work experience includes Webster Bank, Allstate Investments and The Hartford Financial Services Group. He received the 2020 Webster Presidents Corner Award for his role in CECL design & implementation. Received the 2021 Chairman’s Award for role in CECL deployment & production through COVID-induced economic crisis. Received the 2017 Presidents Corner Award for role in automated credit approval project. John holds a Ph.D. in Physics from Wesleyan University, Master's degrees in applied Math, Statistics and Planetary Science from Brown, NJIT and Yale respectively. John did his undergraduate at Rutgers in Electrical Engineering and Political Science. Core Competencies: Analytics Team / Model Lifecycle Management, Credit Scoring, Loss Forecasting, Stress Testing, Portfolio Analytics and Modeling, Model Governance & Validation, GLM & Time-Series Models, Data Analytics, Machine Learning, Data Science, AI/ML, Text-Mining, Mathematics, Statistics.
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