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Money Laundering, Terrorism and Proliferation Financing Risk Assessments for Insurance Companies

Why Insurance Companies are exposed to financial crime risk

Insurance companies and underwriters play a critical role in risk transfer, capital protection and financial stability. They manage long term customer relationships, large premium flows and complex claims activity across multiple lines of business. While insurance is often perceived as lower risk than banking, it presents distinct and evolving financial crime vulnerabilities.

Money laundering risk in insurance is often driven by the misuse of life insurance, investment linked policies and high value general insurance products. Criminals may seek to place illicit funds through premium payments, followed by early surrender, cancellation or claims to create a veneer of legitimacy.

For Money Laundering Reporting Officers (MLROs) and senior compliance leaders in this sector, the challenge is no longer simply to satisfy minimum regulatory obligations it is to demonstrate a deep, defensible and evidence-based understanding of financial crime risk that withstands regulatory review, supports investment and client acceptance decisions and drives proportionate, risk-aligned control execution.

Arctic Intelligence’s ML/TF/PF Risk and Control Assessment Solution has been developed specifically for Insurance Companies. It supports them in meeting regulatory expectations, providing a structured, evidence-based, regulator-ready framework that empowers teams to identify, assess and govern financial crime risk across every line of business.

Why Insurance Companies are targeted by organised criminal networks

Insurance Companies are inherently exposed to financial crime risk for several reasons:

  • Central Role in Long-Term Wealth and Risk Transfer Markets: Insurers manage and move large volumes of premiums, claims payments, annuities and investment-linked products, making them attractive gateways for layering and integrating illicit funds under the appearance of legitimate risk transfer and investment activity.
  • High-Value Policy Funding and Payout Events: Single-premium policies, annuities, life insurance bonds and early surrender payments provide low-frequency but high-value transaction events that can be exploited to introduce, move and extract illicit funds.
  • Complex Ownership and Beneficiary Structures: Policies are often held through trusts, corporate vehicles, superannuation funds and family arrangements that can obscure beneficial ownership, source of funds and economic purpose if not rigorously governed.
  • Claims Fraud and Structured Payout Risk: Criminal networks exploit staged claims, exaggerated losses and repeated small claims to disguise illicit funds and generate “legitimate” payouts.
  • Cross-Border Policyholders and Investment Exposure: International policyholders, offshore trusts and foreign premium funding increase exposure to high-risk jurisdictions, sanctions regimes and proliferation financing corridors.
  • Use of Brokers, Agents and Third-Party Administrators: Intermediaries can introduce policyholders and premium flows with variable levels of verification and transparency.
  • Digital Distribution and Outsourced Platforms: Online policy sales, digital onboarding and outsourced claims administration create additional entry points for illicit funds and potential control fragmentation if not governed through integrated AML/CTF frameworks.

Taken together, these features make Insurance Companies a primary target for organised criminal networks and place enterprise-wide, evidence-based ML/TF/PF risk assessment at the centre of regulatory expectations.

Introducing Arctic Intelligence’s ML/TF/PF Risk and Control Module for Insurance Companies

Arctic Intelligence’s Insurance Companies Risk and Control Module provides a comprehensive and configurable foundation for conducting robust, enterprise-wide ML/TF/PF risk assessments tailored to these sectors. 

This module enables Insurance Companies  to:

  • Identify and Prioritise ML/TF/PF Risks: Using insurance-specific risk taxonomies aligned to FATF and supervisory expectations, the module guides insurers through identifying the highest-impact risk areas across policyholder and beneficiary profiles, premium funding methods, life and investment-linked products, distribution and broker channels, claims and surrender flows, and geographic and jurisdictional exposures.
  • Assess Controls and Operational Effectiveness: Moving beyond static compliance checklists, the solution maps controls to real insurance risk drivers and enables testing of both design and operational effectiveness allowing insurers to demonstrate, with evidence, that controls are operating as intended.
  • Calculate Residual Risk Transparently: Residual risk reflects an insurer’s true financial crime exposure. Arctic’s module aggregates inherent risk indicators with control performance data to produce defensible residual risk ratings that are directly aligned to risk appetite, escalation thresholds and governance frameworks.
  • Produce Audit-Ready Documentation: Built-in audit trails, version history, structured review workflows and aggregated reporting provide regulators, internal audit and senior management with transparent, evidence-based documentation explaining how financial crime risk conclusions were reached and governed.

This solution embeds specific typologies, regulatory best practice and global risk methodologies into a scalable, configurable risk and control platform that supports consistent application across business lines, geographies and legal entities.

The built-in audit trail, review logs and Board-ready reporting enable stronger governance oversight while making complex risk outcomes digestible for executives and boards.

Who does this module apply to?

The money laundering, terrorism and proliferation financing risk and control module contains a library of risks, controls and control tests designed specifically for different types of Insurance Companies:

Annuity ProvidersInsurTech Firms
Captive Insurance ManagersInvestment Linked Insurers
General Insurance ProvidersLife Insurance Companies
Insurance BrokersReinsurers
Insurance UnderwritersSpecialist Insurance Providers

What does this module contain?

A. Enterprise-wide ML/TF/PF risk assessment, covering the following risk groups:

  • Environmental Risk – covering exposure to internal and external risk indicators.
  • Customer Risk – covering customer base profile, customer location risk, legal form risk, industry / occupation risk, PEP risk and customer activity risk.
  • Product and Services Risk – covering the services provided by Insurance Companies that are subject to AML/CTF laws and the inherent risk characteristics of each of these.
  • Channel Risk – covering face-to-face and non-face-to-face customer onboarding and transaction channels.
  • Transaction Risk – covering higher risk transaction types.
  • Country Risk – covering higher risk country risk exposures based on the residency, nationality or citizenship (Individuals) and country of registration, incorporation, domicile or operations (Entities).

These modules also include a comprehensive library of suggested controls and control tests to support design and operational effectiveness testing.

Insurance Companies can deploy the content module out-of-the-box or tailor it to their methodology, eliminating the need to start from scratch while maintaining full ownership of their risk model. It also allows firms to import their own risk indicators and controls or enhance the expert-built libraries to suit their bespoke risk methodology and regulatory environment.

B. Product and Services ML/TF/PF risk assessment module, covering different products and services, with inherent ML/TF/PF risk attributes of each over the following risk groups:

  • Insurance Products – covering Life Insurance (General), Life Insurance (Investment and Non-Investment Linked), Payment Protection Insurance and Whole of Life.

C. Channel ML/TF/PF risk assessment module, covering over 30 different inherent ML/TF/PF risk attributes of each over the following risk groups:

  • Face-to-Face Channels – covering Internal Physical Channels; Relationship Managed Physical Channels and External Physical Channels.
  • Non-Face-to-Face Channels – covering Internal Remote Assisted Channels; Internal Manual Channels; Internal Digital Self-Service Channels; Internal Programmatic / Embedded Access Channels; External Interbank and Payment Infrastructure Channels and External Digital Channels.
  • Face-to-Face or Non-Face-to-Face Channels – External Partner Intermediary Channels.
  • Customer Onboarding Channels (General) – Channel type; onboarding through face-to-face channels and non-face-to-face channels and customer onboarding through intermediaries.
  • Transaction and Delivery Channels – Value of transactions by delivery channel type.
  • General Channel Risks – Higher channel risk indicators.

Get started with Arctic Intelligence

Whether you are establishing your first enterprise-wide ML/TF/PF risk assessment or upgrading a legacy spreadsheet-based program, Arctic Intelligence’s Insurance Companies Risk and Control Module is a scalable, defendable and configurable solution that meets the needs of modern compliance teams.

Book a demo or contact us to explore how our platform can help your business strengthen compliance, mitigate financial crime risk and build a risk program that stands up to regulatory scrutiny. 
Or visit our website to learn more.

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