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Predictive Modeling for Financial Fraud

An Interactive 5-Day Training Course

Predictive Modeling for Financial Fraud

Leveraging Statistical and Machine Learning Models to Anticipate and Prevent Financial Fraud

NASBA
Classroom Schedule
Date Venue Fees
06 - 10 Apr 2026 Dubai $ 5,950
20 - 24 Jul 2026 London $ 5,950
19 - 23 Oct 2026 Amsterdam $ 5,950
30 Nov - 04 Dec 2026 London $ 5,950

Introduction

Financial fraud is one of the most costly and disruptive risks facing organisations today. While reactive detection techniques are still widely used, forward-looking strategies that harness predictive modeling are increasingly proving essential in staying ahead of fraudsters.This GLOMACS training course, *Predictive Modeling for Financial Fraud*, provides participants with the knowledge and tools to build, understand, and evaluate predictive models tailored to fraud risk. It introduces statistical and machine learning methods that help forecast fraudulent behaviour based on historical data, behavioural indicators, and transactional patterns. Delegates will leave with a clear understanding of how to apply predictive analytics within a broader fraud risk framework.

Objectives

By the end of this Predictive Modeling for Financial Fraud training course, participants will be able to:

  • Understand the principles and lifecycle of predictive modeling in fraud contexts
  • Explore key statistical and machine learning techniques used in fraud prediction
  • Select, train, and validate models using appropriate performance metrics
  • Interpret model outputs to support risk-based decision making
  • Incorporate predictive modeling into an overall financial fraud management strategy

Training Methodology

This training course is delivered in a structured format through instructor-led sessions. It combines clear theoretical explanations with illustrative examples and model walkthroughs. The training course is accessible to professionals with varying technical backgrounds, providing conceptual clarity without requiring programming or advanced statistical knowledge.

Organisational Impact

Participating organisations will benefit through:

  • Improved capability to anticipate and prevent fraud before losses occur
  • More effective allocation of investigative and compliance resources
  • Enhanced integration of analytics into enterprise fraud risk strategies
  • Better alignment with regulatory expectations for proactive monitoring
  • Increased trust and transparency in financial systems

Personal Impact

Participants will gain:

  • A practical understanding of predictive modeling in the financial fraud domain
  • Skills to interpret and evaluate model performance and applicability
  • Confidence to participate in model development and implementation discussions
  • Broader analytical thinking in the context of financial risk
  • A foundation for advancing toward more complex fraud analytics roles

Who should Attend?

This GLOMACS Predictive Modeling for Financial Fraud training course is ideal for professionals responsible for managing fraud risk, financial data analysis, or predictive analytics, including:

  • Fraud and financial crime analysts
  • Risk and compliance officers
  • Internal auditors and forensic accountants
  • Data scientists and business analysts
  • Finance and operations managers seeking proactive fraud solutions
Course Outline
Day 1

Introduction to Predictive Modeling and Financial Fraud

  • Understanding financial fraud typologies and trends
  • Limitations of traditional detection and need for prediction
  • What is predictive modeling? Key concepts and benefits
  • Overview of data sources and risk indicators
  • Introduction to the predictive modeling workflow
Day 2

Preparing Data for Prediction

  • Data collection and cleansing for fraud modeling
  • Feature engineering: selecting and creating predictive variables
  • Dealing with imbalanced data and rare event modeling
  • Exploratory analysis to understand relationships and anomalies
  • Data partitioning: training, validation, and test sets
Day 3

Modeling Techniques and Tools

  • Overview of classification algorithms: logistic regression, decision trees, and more
  • Introduction to machine learning models for fraud detection
  • Evaluating model performance: confusion matrix, ROC, AUC
  • Understanding overfitting and generalisation
  • Comparing and selecting the right model for your data
Day 4

Model Deployment and Monitoring

  • Interpreting model outputs and scores
  • Implementing risk thresholds and decision strategies
  • Integrating models into operational systems
  • Monitoring and updating predictive models over time
  • Governance and model risk management considerations
Day 5

Strategic Application and Future Outlook

  • Aligning predictive modeling with business and regulatory objectives
  • Developing a fraud risk framework with predictive analytics
  • Collaborating with technical teams and data scientists
  • Exploring future trends in AI and predictive modeling
  • Summary, reflections, and next steps
Certificates
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates.
  • Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.
Providers

Endorsed Education Provider

NASBA
Options & Brochure
Related Categories
Finance & Budgeting Fraud & Financial Audit
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Frequently Asked Question

No. Saudi GLOMACS delivers courses in Saudi Arabia and internationally, including delivery across Europe and Asia. This allows organisations and professionals to access training both locally and abroad.

No. While governance and leadership are part of the portfolio, Saudi GLOMACS delivers training across the entire business and professional lifecycle, including administrative, technical, legal, regulatory, and sector-specific training.

Yes. Saudi GLOMACS designs and delivers bespoke in-house training tailored to organisational objectives, sector requirements, and workforce needs. Training can be delivered in Saudi Arabia or internationally, depending on requirements.

Courses delivered in Saudi Arabia are adapted to reflect local regulatory frameworks, organisational structures, sector conditions, and professional expectations. This ensures training is relevant, practical, and aligned with Saudi workplace realities.

GLOMACS has been delivering professional training for over thirty years, with courses delivered across Europe, the Middle East, Asia, and other international markets.

Saudi GLOMACS combines three decades of global training experience with a clear focus on Saudi market relevance. This allows it to deliver training that is both internationally credible and locally applicable, across a broader range of disciplines than niche or single-focus providers.

Saudi GLOMACS is a Saudi-based professional training provider delivering courses tailored to the Saudi market and applicable internationally. It operates within the global GLOMACS framework and draws on more than three decades of international training experience.

Saudi GLOMACS offers professional training across a wide range of disciplines, including administration, leadership and management, governance and regulation, law, oil and gas, energy, engineering, finance, digital technologies, and sector-specific specialisations.

Training supports professionals across all career stages, from operational roles to specialist and senior responsibilities.

Participants include professionals from public sector, semi-government, and private sector organisations, across a wide range of roles and industries. Attendees range from administrative and operational professionals to technical specialists, managers, and senior decision-makers.

Related Categories
Finance & Budgeting
Finance & Budgeting
 Fraud & Financial Audit
Fraud & Financial Audit

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