MATLAB Fundamentals Training with Credit Risk Applications

MATLAB® Fundamentals Certification Training with Credit Risk Applications

Course Level: Beginner

Content: This online course contains 5 lessons, each with a video of approximately 45 minutes and supporting files. A certificate is issued upon competition.

Enroll now and enhance your competence and knowledge.

This programme delivers 4 hours of Continuing Professional Development (CPD) / Continuing Professional Education (CPE). Please note that it is a self-certified training initiative and does not carry formal accreditation from any external CPD or CPE governing body. Participants are strongly advised to consult with their respective professional, regulatory or membership organisations to determine the eligibility and recognition of these learning hours for their continuing education requirements.

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Testimonials

Jessica Ortiz Cruz

Credit Risk Analyst-Chubb

This MATLAB Fundamentals course was exactly what I needed - the instructors connected MATLAB basics to real credit risk applications, making every lesson immediately useful.

Muhammad Hammad

Actuarial Analyst-Badri Management Consultancy

I appreciated the clear, hands-on approach to coding and analysis. I now use MATLAB confidently to model credit risk metrics and build robust analytical tools.

Tshepi Seroka

Head of Quantitative Analytics and Liquidity Risk Management-Momentum Metropolitan Holdings Limited

The real-world examples helped me understand not just how MATLAB works, but how it applies to financial risk. This training has strengthened my technical skill set and analytical thinking.

Arielle Jocktane

Quantitative Developer-RenaissanceRe

Completing this course has boosted my productivity and confidence in handling credit risk data. It’s one of the most practical and relevant trainings I’ve taken in quantitative risk analytics.

Course Requirements: An up-to-date MATLAB® license is needed plus the Statistics and Machine Learning Toolbox™. If you are using MATLAB® for home use then it may be possible to purchase a MATLAB® Home™ license, and add-ons can be bought too, https://www.mathworks.com/products/matlab.html

Details

Module 1

Overview/Introduction
The MATLAB user interface
Entering commands and creating variables
Analyzing vectors and matrices
Visualizing vector and matrix data
Accessing HELP
Example: Bond portfolio valuation

Module 2

Working with files: Read and Write from/to Excel and CSV
Working with data types: Numeric, Text
Date & Time, logical, arrays
MATLAB data structures: Tables, Cells and Structs
Example: Credit spread history

Module 3

Automating commands with scripts
Writing programs with branching and loops
Error Handling
Debugging
Improving performance
Example: Calculating portfolio Cost of Downgrade and Cost of Default

Module 4

Creating functions: Standalone functions, Function handles, Inline functions
Variable length arguments and outputs
Introduction to Object Oriented Programming
Example: Bond Portfolio Object

Module 5

Optimization functions
Distribution Fitting
Copula Fitting
Ranking distributions using goodness-of-fit criteria
Custom distributions
Example: Spread distribution fitting and Simulation

Why is it beneficial to obtain this certification?

Earning the MATLAB Fundamentals Training with Credit Risk Applications certification equips you with essential technical and analytical skills in one of the world’s most widely used quantitative computing environments. MATLAB is a powerful platform for numerical computing, data analysis, visualization and financial modeling - capabilities that are especially valuable in credit risk analysis, portfolio evaluation, stress testing and simulation workflows used by banks, investment firms, and risk management functions. The course not only teaches you how to navigate MATLAB’s interface and scripting fundamentals but also shows how to use its tools for real credit risk scenarios like credit spread history, cost‑of‑default calculations and distribution fitting. This blend of programming and financial application enhances your ability to work with large datasets and build models that support data‑driven decision‑making in risk and analytics teams.

From a U.S. career and compensation perspective, developing MATLAB proficiency - especially with real financial applications — can directly boost your marketability in technical analyst, quant analyst, financial engineer or risk management roles. MATLAB expertise is used in many high‑end analytics jobs because it allows fast prototyping of models and robust computational analysis that many firms depend on. According to industry data, professionals with specialized software skills like MATLAB often see higher earning potential and job opportunities compared to peers without certification, with some reporting salary increases of ~15–20% due to validated expertise and employer preference for certified practitioners. In quantitative finance and risk analytics roles in the U.S., this skillset can translate into strong offers, with financial analysts and related positions often commanding mid‑to‑senior salaries well above national averages, especially when paired with demonstrated practical modeling ability.

About The Trainer

Has over 25 years of working experience including 12 years in various credit related roles in Basel II, Solvency II and IFRS. He is a keen programmer in VBA and sometimes C++. He has embraced MATLAB® over the last six years coming to greatly appreciate its power, versatility and ease of use.

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Frequently Asked Questions

MATLAB® Fundamentals Training with Credit Risk Applications

1. How can I clarify doubts after the training sessions?

All the participants will be added to WhatsApp/SMS group and email thread. You can clarify doubts at any time via WhatsApp, SMS or email.

2. Are there any corporate or group discounts?

Group discounts are available to groups of more than three candidates. You can get up to 20% discount depending on the number of participants.

3. Is there an exam for certification?

Yes, there will be an assessment of 20 questions based on the training topics at the end of the course. You will need to score at least 75% to pass. Participants will receive a certificate of completion reflecting 4 CPD/CPE hours, issued on a self-certification basis.

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