Analyze & Manage Counterparty Credit Risk
Master the ability to analyze, measure, and manage counterparty credit risk in modern financial markets. By the end of this course, learners will evaluate derivative exposures, calculate expected and unexpected losses, apply CVA adjustments, assess wrong way and gap risk, and interpret Basel regulatory capital frameworks.
This course provides a structured progression from foundational concepts such as mark-to-market exposure and Value at Risk (VaR) to advanced topics including Monte Carlo exposure modeling, CDS pricing, bilateral CVA, and central counterparty (CCP) clearing mechanisms. Learners will gain practical insight into netting agreements, collateral management, exposure metrics (EE, EPE, PFE), and capital calculations under Basel II approaches.
What makes this course unique is its integrated approach—connecting quantitative credit modeling, structured products, regulatory requirements, and real-world trading desk practices within a single learning pathway. Designed for finance professionals, risk analysts, and banking specialists, this course equips learners with applied, industry-relevant skills to strengthen credit risk management and enhance decision-making in complex financial environments.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
The Memory Advantage
Medium · AI
Snowflake vs BigQuery in 2026: Which Cloud Data Platform Best Powers Growth-Stage Companies?
Dev.to AI
Best Data Science institute in Pitampura
Medium · Data Science
Text Data Clustering Workflow: Preprocessing, Vectorization, Dimensionality Reduction & Evaluation…
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI