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Certification Provider:	PRMIA
Exam Code / Number:	8007
Exam Name:	Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition
Exam Questions:	133
Last Updated:	Jun 19, 2026
Corresponding Certification:	PRM

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The Professional Risk Managers' International Association (PRMIA) 8007 Exam is an essential certification exam for risk management professionals. 8007 exam focuses on the Mathematical Foundations of Risk Measurement and is designed to test the candidate's knowledge of quantitative risk management concepts and techniques. 8007 exam is a rigorous and comprehensive assessment of a candidate's ability to understand and apply mathematical models and statistical methods in risk management.

The Professional Risk Managers’ International Association (PRMIA) is a global non-profit organization that aims to promote best practices in risk management. One of the ways PRMIA achieves this is through offering certification programs for risk professionals. PRMIA’s certification program covers a wide range of risk management topics, including quantitative analysis, financial markets, and ethical standards. The PRMIA 8007 Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition is a part of this certification program.

PRMIA 8007 exam is an important step for professionals who want to advance their careers in risk management and quantitative finance. A passing score on 8007 exam demonstrates a strong understanding of mathematical concepts and their applications in finance. It also signifies a commitment to professional development and a dedication to maintaining the highest standards of professionalism in the financial industry.

PRMIA 8007 Exam Syllabus Topics:

Section	Weight	Objectives
Calculus and Functions	20%	- Multivariable calculus 1. Partial derivatives 2. Optimization - Single-variable calculus 1. Derivatives and applications 2. Limits and continuity 3. Integrals and applications
Linear Algebra and Matrix Theory	20%	- Vectors and eigenvalues 1. Eigenvalues and eigenvectors 2. Diagonalization - Matrix operations 1. Determinants and trace 2. Addition, multiplication, inversion
Numerical Methods & Financial Mathematics	15%	- Basics of risk modeling - Root finding and approximation - Time value of money
Statistics and Regression Analysis	20%	- Linear regression 1. Hypothesis testing and confidence intervals 2. Simple and multiple regression - Descriptive statistics 1. Correlation and covariance 2. Measures of location and dispersion
Probability Theory	25%	- Basic probability concepts 1. Axioms and rules 2. Conditional probability and independence - Random variables and distributions 1. Discrete and continuous distributions 2. Expected value, variance, covariance