Dr. John Morgan
Chief Risk Officer & Quantitative Risk Expert
About
Dr. John Morgan brings a distinctive combination of quantitative finance, enterprise risk management, and GRC strategy to professional education. With over a decade of experience as a quantitative risk analyst at a leading investment bank, he developed deep expertise in risk modeling, financial risk analysis, and data-driven decision-making before transitioning into enterprise risk leadership.
Throughout his career, Dr. Morgan has led risk transformation initiatives across multiple organizations, championing the adoption of FAIR methodology, quantitative risk analysis, and risk-based decision frameworks. His practical experience spans enterprise risk management, risk quantification, governance, and executive risk reporting, allowing him to connect complex risk concepts with real-world business decisions.
Former CRO at a mid-market insurance firm. Quantitative risk analyst background from Goldman Sachs. FAIR Institute board member.
Education
M.S. Financial Engineering, Columbia University
B.S. Mathematics, University of Michigan
Professional Experience
Chief Risk Officer
ABC Financial
2019 - Present
Areas of Expertise
- governance
- grc-fundamentals
- audit
Courses by John
What Student Says
John knows audit from the inside out. The risk-based audit universe module alone was worth the enrollment. I rebuilt our annual plan process in the platform based on what he showed, and the audit committee response was immediate — they finally felt confident that we were auditing the right things.
Carlos Mendes4 out of 5I came in able to run a risk register and left able to defend one to a board. The sessions on translating quantitative output into a narrative an executive will actually act on changed how I write every paper now.
Quinn James5 out of 5One-to-one meant we spent the whole time on my organisation's problems rather than a generic case study. We reworked my KRI set live, and half of it went straight into the next quarterly pack.
The FAIR material is the clearest I have had it explained. He is patient with the maths and blunt about where the model stops being useful, which is the part most training leaves out.