Summary
Erhard Menker is a Senior Manager in Risk Analytics & Modeling with nine years of experience blending applied economics and data science to build enterprise risk frameworks at Charles Schwab. He holds an MS in Applied Economics and brings deep domain expertise in CCAR/DFAST, macroeconomic modeling, FX and commodity pricing, and options valuation, paired with practical machine learning and econometrics skills. Technically fluent in R (including a published EViews add-in), Python, Git, and advanced Excel, he translates complex stochastic models into auditable, production-ready analytics. His background spans academia, actuarial internships, and corporate economics roles, giving him a rare combination of teaching experience and hands-on model implementation. Colleagues rely on him to bridge monetary theory and pragmatic risk management, often finding efficient ways to automate data ingestion and model workflows.
9 years of coding experience
2 years of employment as a software developer
BS, Applied Mathematical Economics, BS, Applied Mathematical Economics at Marquette University
Principles of Computing Specialization, Computer Software Engineering, Principles of Computing Specialization, Computer Software Engineering at Rice University (Via Coursera)
Data Science Specialization, Data Science Specialization at The Johns Hopkins University (via Coursera)
Marist High School
Python for Everybody Specialization, Computer Programming, Data Warehousing Applications, Python for Everybody Specialization, Computer Programming, Data Warehousing Applications at University of Michigan (via Coursera)