Chris Ewing, Phd Email & Phone Number
@pnc.com
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Who is Chris Ewing, Phd? Overview
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Chris Ewing, Phd is listed as Quantitative Analytics and Model Development Consultant, Sr at PNC, a company with 62437 employees, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at pnc.com and a matched LinkedIn profile for Chris Ewing, Phd.
Chris Ewing, Phd previously worked as Quantitative Analytics & Model Development Consultant, Sr at Pnc and Quantitative Analytics & Model Development Consultant at Pnc. Chris Ewing, Phd holds Bachelor Of Science (Bs), Chemical Engineering from Penn State University.
Email format at PNC
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AeroLeads found 2 current-domain work email signals for Chris Ewing, Phd. Compare company email patterns before reaching out.
About Chris Ewing, Phd
I develop innovative approaches to financial modeling and analytics. Recent work includes the use of transaction data to guide decision making for situations ranging from credit risk to customer acquisition.Major projects include:-CECL/CCAR loss modeling (C&I and REIT)-PD scorecard development (C&I, CRE and REIT)-Transaction-based risk and opportunity modeling (Small Business and Retail portfolios)-Process automationI have over 13 years of experience using Python for analytics and modeling using a wide variety of packages, with emphasis on the following:-Data Analytics: Pandas, NumPy, SciPy-Big Data: PySpark-Machine Learning: statsmodels, scikit-learn, h2o-Visualization: Matplotlib, seaborn-Process Automation: Object-oriented programmingI also have extensive experience with the following:-Spark-SQL-Hadoop-Git-Linux
Listed skills include Python, Ccar, Quantitative Models, Credit Risk, and 25 others.
Chris Ewing, Phd's current company
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Chris Ewing, Phd work experience
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Quantitative Analytics & Model Development Consultant, Sr
Current-Developed REIT/REOC default rate model and loss forecast engine for CECL/CCAR reserve calculations-Developed transaction categorization and feature calculation pipeline.-Led team of 4 in development of transaction-based model for identifying high-risk customers and low-risk business opportunities.
Quantitative Analytics & Model Development Consultant
-Led development of new Credit Loss model -Loss estimate used downstream for calculating deal profitability -Saved >$1 MM annually by replacing costly vendor model-Led numerous technical training sessions for audiences of 15 to 100+ -Python, Git, Hadoop, Proprietary Software
Quantitative Analytics & Model Development Analyst, Sr
-Developed both through-the-cycle and point-in-time PD models for Commercial Real Estate. -REIT/REOC -Income Producing and Construction-Led a team of 5 in development of a proprietary data-driven document automation and management software application that allows for updating the data in a document with the click of a button.
Quantitative Analytics And Model Development Analyst
-Built C&I portfolio forecast models for CCAR and CECL processes: -Developed transition matrix model: PD Rating forecast based on macroeconomic variables -Developed loan-level loss calculator: incorporated PD, LGD and EAD
Ph.D. Candidate, Chemical Engineering
Advised by J. Karl Johnson, Joseph J. McCarthy and Götz VeserStudied nanoparticle and single-atom catalysts on amorphous supports. Research experience ranges from the synthesis and characterization of metal and metal oxide nanoparticles to the development and implementation of new modeling methodologies that combine reactive molecular dynamics and/or.
Course Instructor, Department Of Chemical And Petroleum Engineering
ChE 3935 - Particle-Based Materials Modeling. Graduate course covering modeling methods ranging from quantum mechanical simulations to nanoparticle modeling methods.
Research Assistant, Department Of Materials Science And Engineering
Advised by Michael A. HicknerDynamics of water sorption in ion-conducting polymer membranes
Colleagues at PNC
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Elyse Jones
Colleague at PncPittsburgh, Pennsylvania, United States, United States
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Linda Dankwa
Colleague at PncWesterville, Ohio, United States, United States
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Tim Devendra
Colleague at PncCanton, Ohio, United States, United States
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Jessica Haber
Colleague at PncEnglewood Cliffs, New Jersey, United States, United States
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Phillip Shannon
Colleague at PncDrexel Hill, Pennsylvania, United States, United States
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Ari Hassanali
Colleague at PncAlpharetta, Georgia, United States, United States
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Erica Kelly
Colleague at PncSalisbury, Maryland, United States, United States
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Marie Wanat
Colleague at PncNew Hope, Pennsylvania, United States, United States
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Tammy Flowers
Colleague at PncColumbus, Ohio Metropolitan Area, United States
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Heather Ledezma
Colleague at PncGreater Philadelphia, United States
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Chris Ewing, Phd education
Bachelor Of Science (Bs), Chemical Engineering
Doctor Of Philosophy (Phd), Chemical Engineering
Frequently asked questions about Chris Ewing, Phd
Quick answers generated from the profile data available on this page.
What company does Chris Ewing, Phd work for?
Chris Ewing, Phd works for PNC.
What is Chris Ewing, Phd's role at PNC?
Chris Ewing, Phd is listed as Quantitative Analytics and Model Development Consultant, Sr at PNC.
What is Chris Ewing, Phd's email address?
AeroLeads has found 2 work email signals at @pnc.com for Chris Ewing, Phd at PNC.
Where is Chris Ewing, Phd based?
Chris Ewing, Phd is based in Pittsburgh, Pennsylvania, United States while working with PNC.
What companies has Chris Ewing, Phd worked for?
Chris Ewing, Phd has worked for Pnc, University Of Pittsburgh, and Penn State University.
Who are Chris Ewing, Phd's colleagues at PNC?
Chris Ewing, Phd's colleagues at PNC include Elyse Jones, Linda Dankwa, Tim Devendra, Jessica Haber, and Phillip Shannon.
How can I contact Chris Ewing, Phd?
You can use AeroLeads to view verified contact signals for Chris Ewing, Phd at PNC, including work email, phone, and LinkedIn data when available.
What schools did Chris Ewing, Phd attend?
Chris Ewing, Phd holds Bachelor Of Science (Bs), Chemical Engineering from Penn State University.
What skills is Chris Ewing, Phd known for?
Chris Ewing, Phd is listed with skills including Python, Ccar, Quantitative Models, Credit Risk, Technical Writing, Monte Carlo Simulation, Data Analysis, and Catalysis.
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