Colleen McCarthy
VP Financial Risk Analytics at SECU
- Role
- VP Financial Risk Analytics at SECU
- Location
- Raleigh, NC, US
- LinkedIn followers
- 500 followers
About Colleen McCarthy
I currently work at State Employees\' Credit Union in Financial Modeling. My team is in charge of SECU\'s CECL implementation of its credit loss models and for portfolio modeling efforts related to Capital Planning and Stress Testing. This includes developing time series models, documentation of these efforts, monitoring their performance, and communicating results to leadership. Skills Highlights * Strong cross-functional communication skills * Significant experience with time series, predictive modeling, logistic regression, and data visualization * More than ten years of experience in mathematical and statistical modeling in industry and academia* Worked in a variety of industries including finance, healthcare, state and local government, solar power, telematics, plasma physics, smart materials, and social networks Technical Skills * Statistical & other programming languages: SAS, R, Python, Excel(VBA), Matlab, Mathematica, C++* Data Visualization: Tableau, SAS Visual AnalyticsCertifications* SAS Certified Advanced Programmer using SAS 9* SAS Certified Visual Business Analyst: Exploration and Design using SAS Visual Analytics* SAS Certified Predictive Modeler using SAS Enterprise Miner 13* SAS Certified Statistical Business Analyst using SAS 9: Regression and Modeling
Experience
VP Financial Risk Analytics
Aug 2022 — Present · Raleigh, NC, US
Education
Elon University
Bachelor of Science (B.S.), Mathematics
2005 — 2009
North Carolina State University
Master of Science (M.S.), Analytics
2014 — 2015
North Carolina State University
Master of Science (MS), Applied Mathematics
2009 — 2012
Skills
- Matlab
- C++
- Sas Programming
- Data Analysis
- Algorithms
- Higher Education
- Statistics
- Student Development
- Research
- Mathematical Modeling
- R Programming
- Teaching
- C++ Language
- Latex
- R
- Student Affairs
- Data Mining
- Statistical Modeling
- Student Leadership
- Microsoft Word
- Sas
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