Yisha Wang
Senior Quantitative Analytics And Model Development Analyst
Tampa, Florida, United States
Summary
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Senior🎓
Top SchoolYisha Wang is a Senior Quantitative Analytics and Model Development Analyst with 11 years of experience specializing in model validation, risk assessment, and challenger model construction for major banking regulatory frameworks. Based in Tampa, she leads validations of high-impact scoring, pricing, CCAR, PPNR, Basel, CECL and insurance models at PNC, ensuring compliance with OCC guidance and internal policy while delivering actionable recommendations. Her background blends rigorous statistical training from Carnegie Mellon and Renmin University with hands-on experience in SQL-driven data reconciliation and large-scale financial modeling. Known for effective challenge of model assumptions and controls, she translates complex quantitative findings into clear validation reports used by stakeholders and regulators. An understated strength is her ability to build benchmark challenger models that uncover hidden weaknesses in production models, improving model governance and resiliency.
11 years of coding experience
Bachelor's degree, Statistics (Actuarial Science focus), Bachelor's degree, Statistics (Actuarial Science focus) at Renmin University of ChinaMaster's degree, Statistics, Master's degree, Statistics at Carnegie Mellon University
Github Skills (40)
scrapy9
crawler8
collision-detection8
collision8
simulation8
redis7
form-data7
robotics7
computer-graphics7
ros7
cuda6
high-performance6
resumable6
python6
controller6
Programming languages (5)
Github contributions (5)
yswhynot/yswhynot.github.io
Feb 2016 - Oct 2024
Contributions:169 pushes, 1 branch in 8 years 9 months
yswhynot/.vim
Sep 2017 - Sep 2022
Contributions:9 commits, 1 push in 5 years
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