Global Risk Modeller

top three benefits

EASY ADJUSTMENT

The product’s output can be altered to meet any client-specific requirements.

MULTIPLE DATA

It uses a vast array of relevant data to determine the risks associated with each country.

SIMPLE IMPLEMENTATION

The data can be easily implemented into a company’s risk assessment solutions.

EMPOWERING ORGANISATIONS TO EFFECTIVELY ASSESS AND MITIGATE POTENTIAL RISKS

The RegTech Global Risk Modeller serves as a crucial tool in evaluating the level of risk associated with money laundering and terrorist financing activities across different countries. It assesses a range of factors contributing to AML risk, including regulatory frameworks, enforcement efforts, financial transparency, political stability and corruption levels.

Comprehensive Data Sourcing
We gather data from a diverse array of sources, including international organisations, government agencies, financial institutions, and risk intelligence providers. This comprehensive dataset encompasses AML regulations, enforcement actions, financial crime trends, and political developments, providing a holistic view of AML risk factors.
Rigorous Assessment Criteria
Our Global Risk Modeller utilises predefined criteria and indicators to evaluate AML risk in each country. These criteria encompass the strength and effectiveness of AML/CFT regulations, level of enforcement by regulatory authorities, transparency of the financial system, political stability, exposure to organised crime and terrorist financing networks, and international cooperation.
Weighted Criteria and Scoring
Each criterion is assigned a weight based on its relative importance in assessing AML risk. Countries are scored against these criteria, with higher scores indicating higher AML risk levels. These scores are aggregated to calculate an overall AML Global Risk Modeller score for each country, providing a comparative assessment of AML risk.
Risk Classification
Countries are classified into different risk categories, such as low, medium and high, based on their AML Global Risk Modeller scores. These classifications offer valuable insights for risk-based decision-making and resource allocation in AML compliance efforts.
Periodic Updates
Our Global Risk Modeller is regularly updated to reflect changes in AML/CFT regulations, enforcement actions, and geopolitical developments. These updates ensure that the index remains relevant and reflects current AML risk trends, empowering stakeholders to make informed decisions.
Practical Application
Financial institutions, regulatory agencies, and other stakeholders rely on our AML Global Risk Modeller to enhance their risk assessment processes. It enables them to identify high-risk jurisdictions, tailor risk mitigation strategies, and allocate resources effectively to address AML/CFT risks.