RISK-BASED PRICING MODEL DEVELOPMENT & VALIDATION
“Designing, Calibrating, and Validating Pricing Models that Align Risk with Return”
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 17 – 19 Feb 2026 | Riyadh, KSA | USD 2495 per delegate |
| 03 – 05 Mar 2026 | Dubai, UAE | USD 2495 per delegate |
| 27 – 29 Oct 2026 | Doha, Qatar | USD 2495 per delegate |
Course Introduction
In an increasingly competitive and regulated financial environment, institutions must accurately price their products and services by aligning them with risk. A risk-based pricing model allows organizations to assess and manage the trade-off between expected returns and the credit, market, and operational risks involved in a transaction or portfolio.
This intensive three-day course provides a structured, practical approach to developing, validating, and implementing risk-based pricing models. Participants will explore theoretical frameworks, quantitative techniques, and regulatory expectations for robust pricing systems, with real-life examples from banking, insurance, and lending.
Course Objectives
By the end of this course, participants will be able to:
• Understand the principles of risk-based pricing and its financial significance
• Design and implement pricing models based on credit, market, and operational risk drivers
• Apply data-driven techniques for model calibration, stress testing, and validation
• Meet regulatory requirements for model documentation and governance
• Integrate risk-adjusted pricing into business and lending decision processes
Key Benefits of Attending
• Gain a competitive advantage by aligning pricing with actual risk exposure
• Improve capital allocation and profitability through precision modeling
• Reduce model risk and regulatory exposure through robust validation practices
• Enhance decision-making in loan origination, product pricing, and portfolio management
• Learn directly applicable methods using real-world financial and risk data
Intended Audience
This program is designed for:
• Risk managers and credit analysts
• Pricing and product development professionals
• Model developers, quants, and data scientists
• Internal audit and compliance teams
• Bankers, underwriters, actuaries, and finance officers
Individual Benefits
Key competencies that will be developed include:
• Model architecture design for risk-based pricing
• Data collection and statistical calibration techniques
• Quantification of credit and market risk in pricing decisions
• Stress testing, scenario analysis, and performance monitoring
• Compliance with model risk management (MRM) frameworks
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Improved risk-reward balance in lending and investment products
• Enhanced compliance with regulatory expectations (Basel, IFRS 9, etc.)
• Stronger model documentation, auditability, and validation protocols
• Increased pricing transparency and customer fairness
• Better integration of pricing strategies with enterprise risk frameworks
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Pricing frameworks, regulatory context, and modeling principles
• Case Studies – Applications from retail, SME, and corporate lending
• Workshops – Hands-on modeling using spreadsheets and risk data
• Peer Exchange – Interactive dialogue on modeling challenges and governance
• Tools – Templates for model scorecards, validation checklists, and pricing engines
Course Outline
Detailed 3-Day Course Outline
Training Hours: 07:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Foundations of Risk-Based Pricing
- Module 1: Introduction to Risk-Based Pricing (07:30 – 09:30)
• Pricing theory, cost of capital, and risk-adjusted return on capital (RAROC)
• Regulatory foundations: Basel II/III, IFRS 9, MRM - Module 2: Risk Drivers and Pricing Inputs (09:45 – 11:15)
• Credit risk metrics (PD, LGD, EAD), market volatility, liquidity premiums - Module 3: Model Framework and Design (11:30 – 01:00)
• Building blocks of a pricing model: data, parameters, and assumptions - Module 4: Workshop – Mapping Risk Drivers to Product Pricing (02:00 – 03:30)
Day 2: Model Development and Calibration
- Module 1: Data Preparation and Statistical Modeling (07:30 – 09:30)
• Data sources, segmentation, regression, and scorecards - Module 2: Calibration Techniques and Performance Metrics (09:45 – 11:15)
• Backtesting, Gini coefficient, ROC curves, and thresholds - Module 3: Integrating Economic and Behavioral Factors (11:30 – 01:00)
• Macroeconomic adjustments, elasticity, and risk appetite linkage - Module 4: Workshop – Build a Pricing Model Prototype (02:00 – 03:30)
Day 3: Validation, Governance & Implementation
- Module 1: Model Validation Frameworks (07:30 – 09:30)
• Independent validation, benchmarking, sensitivity analysis - Module 2: Documentation, Audit Trail, and Governance (09:45 – 11:15)
• Model development documentation, validation reports, version control - Module 3: Implementation into Business Practice (11:30 – 01:00)
• Embedding models into product lifecycle, loan origination, and pricing systems - Module 4: Certification and Wrap-Up (02:00 – 03:30)
• Review, final Q&A, and certificate distribution
Certification
Participants will receive a Certificate of Completion in Risk-Based Pricing Model Development & Validation, confirming their technical ability to build, calibrate, validate, and govern pricing models that align with modern risk management and regulatory standards.