AML Activity Around the World — Proposed FinCEN Rules for AML Whistleblower Incentives, Revised Canadian AML Framework, Day in the Life of Law Society AML Unit


Canada’s Revised AML Framework: Sweeping Penalties And Compliance Requirements” —

  • “Having received royal assent on March 26, 2026, Bill C‑12, the Strengthening Canada’s Immigration System and Borders Act, has significantly reshaped Canada’s anti‑money laundering (‘AML’) landscape. The bill established higher monetary penalties and stricter compliance requirements by, among other things, amending the Proceeds of Crime (Money Laundering) and Terrorist Financing Act (the ‘PCMLTFA’) and enhancing oversight by the Financial Transactions and Reports Analysis Centre of Canada (‘FINTRAC’). Indeed, entities and individuals now face heightened penalties and more stringent requirements, while, at the same time, enrolment obligations have been extended to a broader range of parties. Below, we will discuss some of the most prominent updates being implemented.”
  • “Unprecedented penalties. Further to our commentary dated July 15, 2025 regarding Bill C-2, several of the amendments initially contemplated therein were restated in Bill C‑12. In fact, one of the most anticipated changes was the increase of administrative monetary penalties (‘AMPs’) to forty times their previous levels, as can be seen in the table below: ”
    Violation Class Old Maximum Penalty New Maximum Penalty. Minor CA$1,000 CA$40,000. Serious CA$100,000. CA$4,000,000. Very serious CA$500,000 CA$20,000,000.”
  • “Similarly, the maximum penalty for a violation has gone from $100,000 to $4,000,000 if the violation is committed by a person, and from $500,000 to $20,000,000 if the violation is committed by an entity. Consequently, the financial burden of a penalty has significantly increased and ensuring compliance has become increasingly pressing.”
  • “Bill C-12 has also imposed a more stringent requirement with respect to the establishment by entities of a compliance program. In fact, the bill requires the entities to put in place a compliance program which is ‘reasonably designed, risk-based and effective’. In practical terms, FINTRAC would no longer limit its oversight to the formal existence of a compliance program, but would scrutinize its effectiveness and its likelihood of achieving meaningful compliance outcomes.”

FinCEN Proposes New Rules for AML Whistleblower Incentives and Protections” —

  • “The Financial Crimes Enforcement Network (FinCEN) recently published a notice of proposed rulemaking (NPRM) titled ‘Whistleblower Incentives and Protections.’ The proposal implements 31 USC § 5323 as amended by the Anti-Money Laundering Act of 2020 (AML Act) and the AML Whistleblower Improvement Act of 2022, establishing procedures for submitting tips, applying for awards and obtaining confidentiality and anti-retaliation protections. The NPRM represents a significant step toward operationalizing a program that Congress authorized over five years ago, and it carries meaningful practical implications for financial institutions.”
  • “Scope: Beyond the BSA.”The proposed program would cover potential violations of the Bank Secrecy Act (BSA) and certain sanctions-related statutes – including the International Emergency Economic Powers Act, the Trading with the Enemy Act and the Foreign Narcotics Kingpin Designation Act (the Kingpin Act). FinCEN also positions the program as supporting enforcement of the US Department of the Treasury’s (Treasury) Outbound Investment Security Program and the US Department of Justice’s (DOJ) Data Security Program where those matters fall within the scope of the covered statutes. The broad statutory reach means that potential whistleblowers are not limited to traditional AML scenarios – sanctions compliance failures and related conduct are squarely within scope.”
  • “Awards: 10-30%, with a presumption of maximum for smaller cases”
  • “A ‘covered action’ is defined in the NPRM as a Treasury or DOJ judicial or administrative action that is successfully enforced and results in monetary sanctions exceeding $1 million. Awards would be paid within a statutory range of 10-30% of collected monetary sanctions in covered and related actions, with awards paid from the Financial Integrity Fund.”
  • “A key tension: The 120-day waiting period for compliance and audit personnel”
  • “One of the most consequential provisions for financial institutions is the proposed 120-day waiting period. Certain individuals – including officers, directors and partners who learned information through internal reporting processes, and employees whose principal duties involve audit or compliance (including those at firms retained to perform audit or compliance functions) – would be required to wait at least 120 days after obtaining the information before submitting it to FinCEN to remain award-eligible. FinCEN’s stated rationale is to preserve incentives for robust internal compliance programs and to give entities time to review, remediate and voluntarily disclose issues, while minimizing harm from delayed reporting.”
  • “For institutions, this window creates both an opportunity and an obligation. Companies should anticipate how their internal reporting, triage and escalation processes will operate within that 120-day period, and should ensure that appropriate remediation and voluntary disclosure mechanisms are in place to take advantage of it.”
  • “FinCEN also proposes that no person may impede an individual from communicating directly with Treasury or DOJ about possible violations, including by discouraging, hindering or delaying such communications.”
  • “Rights and remedies under the proposed rule would be nonwaivable – including through pre-dispute arbitration agreements, which would be invalid and unenforceable to the extent they require arbitration of a dispute arising under 31 USC § 5323 or the implementing regulation.”
  • “Comments on the NPRM are due by June 1, 2026. Covered entities and other interested parties should consider submitting comments to help shape the final rule.”

Gibson Dunn announces release of the International Comparative Legal Guide – Anti-Money Laundering 2026” —

  • “Gibson Dunn is pleased to announce with Global Legal Group the release of the International Comparative Legal Guide – Anti-Money Laundering 2026. Gibson Dunn partners Stephanie L. Brooker and M. Kendall Day are the Contributing Editors of the publication, which covers issues including criminal enforcement, regulatory and administrative enforcement, and requirements for financial institutions and other designated businesses. The Guide, comprised of 4 expert analysis chapters and 16 jurisdictions, is live and FREE to access HERE.”

A day in the life of the Law Society’s anti-money-laundering unit

  • “The Law Society’s dedicated anti-money-laundering unit is housed within the Regulation Department, where all AML matters are dealt with by a single team. Mary Hallissey acts a bit shady”
  • “Solicitors who provide AML-regulated legal services must comply with certain statutory obligations that apply to how solicitors both manage their AML compliance requirements within their practices and their mandatory obligation to report suspicions of money-laundering to the relevant authorities.”
  • “In 2023/2024, the Law Society took the strategic decision to set up a dedicated AML unit housed within its Regulation Department, where all AML matters relating to regulation, education, and external-stakeholder engagement are dealt with by a single team, with input from colleagues in Financial Regulation and Regulatory Legal Services.”
  • “Ciara McQuillan and Riona Leahy are both AML executives and solicitors in this new unit.”
  • “Ciara points out that a single rulebook is emerging for anti-money-laundering – and the majority of the EU AML Regulation will have direct effect in all EU member states, including Ireland.”
  • “These requirements will include: A directly applicable EU regulation creating a more harmonised ‘single rulebook’ for preventive controls; A new directive that updates how national systems, FIUs, and supervisors operate; and A regulation establishing the EU Anti-Money-Laundering Authority.”
  • “Separately, EU criminal-law measures continue to harmonise money-laundering offences and sanctions across member states.”
  • “Customer due diligence (CDD) will become more prescriptive, with firms expected to apply more standardised checks and follow clearer, more detailed rule-sets than under many current national approaches.”
  • “In practical terms, CDD will require the collection of more information, supported by more robust documentation, and a clearer evidential trail showing how identity, beneficial ownership, and the purpose and nature of the relationship were assessed.”
  • “Firms should also expect a stronger emphasis on consistency of outcomes, record-keeping, and being able to demonstrate compliance – not just that checks were performed.”
  • “In terms of the forthcoming changes to the regulations, Ciara explains: ‘Solicitors are now required to seek much stronger proof of identification from new clients, such as passports, along with proof of nationality and proof of birthplace. Solicitors must also verify more than one source of client identification, with many more data points to be collected, before starting to deliver any AML-regulated legal service – particularly, but not solely, those concerning real estate.’”
  • “She points to the Register of Beneficial Ownership as an indicator of the beefed-up obligations to declare interests.”
  • “The Law Society’s Regulation of Practice Committee and Conveyancing Committee together recently published guidance for solicitors in this arena. The consequences for solicitors who fail to comply are grave, including a potential risk to livelihood and professional reputation.”
  • “Not only do solicitors have obligations to comply with AML legislation to ensure that their practices cannot be used as conduits to launder illicit funds but, additionally, they have an obligation to submit a suspicious transaction report (STR) to FIU Ireland and to Revenue if a suspicion arises of an offence of money-laundering or terrorist-financing. Failure to comply with this obligation is a criminal offence.”
  • “In addition, she cautions that ‘solicitors should be particularly on the lookout for social-welfare fraud or tax fraud, where substantial funds may get laundered through a property transaction’.”
  • “AML risk assessments should now be deeply embedded in business-risk assessments in every law firm, they stress. While minor compliance infringements are dealt with by the Law Society on a practical, case-by-case basis – with the focus on educating rather than heavy-handed sanctioning – failure to comply with the AML regulations is serious, not just with the Law Society as supervisor, but in terms of a criminal-offence element.”
  • “Firms who fail to demonstrate that they have sufficient measures in place to mitigate risk, and that they have been applying those measures, may find themselves subject to an external AML audit, issued with a formal direction to take certain action or, at the most serious end of the non-compliance scale, could be referred to the Legal Practitioners Disciplinary Tribunal.”
  • “It’s not enough to have a beautifully written suite of business-risk assessments, policies, controls, and procedures in place in a practice if the contents of them are not being applied by the solicitor on the files, advises Ciara. It is also crucially important that the reasons that a solicitor assesses risk in relation to a transaction in a certain way is fully documented.”
  • “Ciara and Riona also point to the potential reputational damage to a law firm if, for instance, it is linked to a Criminal Asset Bureau investigation.”



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Power BI Data Modeling- Table of Content

What is Power BI?

Microsoft Power BI is a business intelligence tool that is totally technology-driven. It aids in analyses and visualization of raw data to delivery information that is actionable. It integrates the verticals of business intelligence, visualization of data, and their respective best practices to assist organizations in making data-driven determinations. As a consequence of the functionality of the Power BI platform, Gartner named Microsoft the best tool for Analytics & Business Intelligence Platform in the year 2019.

What is Data Modelling?

The task of providing a clear picture of an entire information system or components of it in order to communicate relationships between different data points and frameworks is known as data modeling. The goal is to demonstrate the different kinds of data being used and stored within the framework, as well as the connections between these datasets, as well as the myriad facets the data can be clustered and structured, as well as its layouts and qualities.

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Types of Data Models

There are different types of data models. Some of the most popular ones are-

Hierarchical Model

A tree-like structure of the model gives it the name hierarchical model. There is one master node or one parent node, and the other respective child nodes are arranged in a specific order. However, the hierarchical model is now very seldom used. This model is applicable to real-world model connections.

Relational Model

The term “relational” refers to the various relationships that exist between entities. There are also various sets of relationships between both entities, including one to one, one to many, many to many, and many to one. 

Object-oriented data model

The object-oriented approach includes the production of objects that display data. The object-oriented model allows for communication while also allowing for data abstraction, inheritance, and entrapment.

Network Model

The network type data modelling allows us to represent relationships between objects in a modular fashion. This model has a unique feature known as a framework that represents the data as a graph. A given object is represented within a node, and the relationship between them is represented as an edge, allowing them to keep multiple parent and child registers in a generalized fashion.

Entity-relationship Model

The ER model (Entity-relationship model) is a high-level relational model used to define data elements and relationships for system entities. This conceptual design provides a better view of the data, making it comprehensible. The original data is depicted in this prototype by an entity-relationship graph, which is made up of Entities, Attributes, and Relationships.

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Cardinality and the Types of Cardinalities

In the realm of data modeling, cardinality refers to a join that exists between two different tables and represents the numerical relationship between different rows in one table and the rows of the other table. 

The different types of Cardinalities are-

One to One

A solitary line of the first table partners with a single line of the second table. For instance, a connection among individuals and an identification table is coordinated in light of the fact that an individual can have just a single visa and a visa can be allocated to just a single individual.

One to Many

A single column of the first table partners with more than one line of the second table. For instance, a connection between the client and request table is one to numerous in light of the fact that a client can put in many orders yet a request can be put by a solitary client alone.

Many to One

Many columns of the first table partner with a solitary line of the second table. For instance, the connection between understudy and college is numerous to one in light of the fact that a college can have numerous understudies yet an understudy can concentrate on just one college at a time.

Many to Many

Many columns of the first table partner with many lines of the second table. For instance, the connection between understudy and course table is numerous to numerous on the grounds that an understudy can require some investment and a course can be doled out to numerous understudies.

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Data Modelling with Power BI

Power BI can be used in two ways. The first option is to install Power BI Desktop on the user’s computer. The other option is to access the Power BI service through a browser. Power BI Desktop has more features and tools than the Power BI service. However, both offer the same features and functions for creating, managing, and saving data visualisations. 

1. Install Power BI Desktop

The user can easily download the Power BI desktop from the official store of Microsoft. It will also require a corporate or school email address to Sign-Up for Power BI. On the off chance that you don’t have one, make a free Microsoft Azure Portal record to receive an email address with the area onmicrosoft.com.

2. Know Your workspace

know your workplace

1. In this you can Sign-Up for Power BI utilizing your corporate email address or Azure Portal Account.
2. This will be the name of your task.
3. This is the menu given by Power BI.
4. ‘Reports’ tab where you can see your made representations and reports.
5. ‘Data’ tab to make and deal with the information you have imported in Power BI.
6. ‘Model’ tab will assist you with dealing with the information models and connections.
7. In this region you can use to fill in your perceptions and reports.
8. These are different graph types and representations you can use to plan your reports.
9. You will see the ‘Field’ segment which will be useful to see and deal with your all datasets imported in Power BI.

3. Import Sample Data

import sample data

Power BI permits bringing in information from different sources. Here we will import from a dominant sheet that contains tables. These tables address the relationship with information embedded in lines and sections. Power BI consequently perceives the information and its connection in a table on a solitary import. To import information, visit the ‘Home’ menu from the top, then, at that point, click on ‘Get Data’ and select the technique you need to utilize. It will require some investment to process and show results on your screen. Assuming you feel that your information is appropriately stacked, click on the ‘Heap’ button. Else, click ‘Change Data’ to roll out certain improvements.

Data Models In Power BI

Power BI consequently distinguishes every one of the potential relations between various arrangements of information. Now and then we want to make a connection between the information physically.

information physically

After the import of data is finished, visit the ‘Models’ tab from the left side, as featured in the above picture. Here you will see some mechanized connections made by Power BI. Every one of the lines apparent here in the ‘Models’ tab portrays the cardinality and heading of the connection starting with one table then onto the next. You can make and adjust this default relationship made by Power BI utilizing the Manage Relationship device given on the top menu as featured in the picture.

4. Create And Manage Relationship

create and manage

In the wake of tapping on ‘Oversee Relationship,’ a comparable screen will show up, as displayed in the above picture. You can see every one of the dynamic relations here starting with one table then onto the next. Everything you can do with these relations are clarified underneath:

1. New – This choice will assist you with making another connection between tables.

2. Autodetect – Using this choice, Power BI naturally recognizes the connection between information present in tables.

3. Edit – This choice will assist you with editting your information relationship.

4. Delete – It erases the chose connection between the tables.

tables

Presently subsequent to tapping on ‘New’ or ‘Edit’, a comparable screen will show up before you, as displayed previously. Here we will disclose to you the motivation behind every one of the choices individually.

1. The first drop-down menu will permit you to choose the table from which you need to make a connection.

2. The choice in the subsequent drop-down menu will make a connection from the primary table to the second.

3. You will choose the Cardinality connection here, however, you would not compel be able to Power BI to choose a particular cardinality that doesn’t exist.

4. Here you can choose the bearing of the relationship as ‘Single’ or from ‘Both’.

Assuming that you know about Excel, you might have dealt with the DAX (Data Analysis Expression) recipe. In the event that not, then, at that point, no concerns. I will clarify in short and straightforward words. Like programming, DAX is a bunch of guidelines used to work out information from the tables. These articulations incorporate orders for Addition, Multiplication, Average, Percentage, and others with different channels.

1. Table 1 = DISTINCT(Table 2[Column 1]), this expression will fill all of the unique values in Table 1 from Column 1 in Table 2.

2. Column1 = RIGHT(Table1[Column Name],3); this expression will fill in Column1 with the last three characters from Column Name.

Let’s make some calculations using our shop data from Power BI. Select the ‘Data’ tab from the left menu, as shown in the image below. You will find some tools to help you calculate your data here. These will be used in Power BI.

power bi

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Create Table

create table

In the wake of tapping on ‘New Table’, we really want to enter the DAX articulation displayed in the above picture.

1. The initial segment of the articulation characterizes the name of the table.

2. The second is the channel; the ‘Particular’ capacity will choose just the exceptional qualities from the section.

3. We need to pass the boundaries inside the ‘Particular’ work, and these boundaries are the area from which we will remove our information. So, we have passed the table and section name where our nation codes are available. Whenever your demeanour is finished, click ‘Enter’.

4. After applying the articulation, we will get our new section with the default name and results. To rename a segment, you can double tap on it.

Make Column

Click on ‘New Column’ from the top menu to make a determined section.

make a coloumn

1. The DAX expression will compute all revenue from the table ‘Revenue’ with the filter set to ‘Country.’ We could have spent hours calculating the individual revenue generated by the country if we hadn’t used this expression.
2. This is the outcome of the expression.
Although Power BI recommends that you write an expression, remembering all of them may be difficult. In this case, you can make use of the Quick Measure tool. All you have to do is fill in the parameters and function for calculation. Depending on your selection, this tool will then generate the expression automatically. These measurement tools are also useful when you need to perform quick calculations for reports.

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4. Create Visualization

create visualization

In the imported data of the given example, we only had sales, sales by country, and product price. Using the methods described above, we created a separate table containing the revenue generated by each country. Using various visualisations, we have depicted the country’s revenue on a world map. Similarly, Power BI allows you to create and manage data models.

Data Modelling in Power BI- Best Practices

Some of the best practices for data modelling in Power BI are-

Use Different Schemas for Different Needs

One of the main examples I have found out with regards to information displaying over the past 20+ years is that there isn’t one model that fits all business needs. Be that as it may, there are basic examples we can follow to show information as indicated by various business needs. Each example or composition has an alternate arrangement of rules. At an extremely undeniable level, we can imagine these patterns in three unique classes.

Simplicity – Ockham’s Razor

Ockham’s razor may be one of the most cited philosophical thoughts in the realm of examination, and understandably! With regards to the information model, basic is typically great. The thought is to attempt to restrict the number of tables and information connections to an absolute minimum.

Deliberateness

Regardless of whether the basics are great, purposefulness is better. “Purposeful” can be characterized as “finished with or set apart by full awareness of nature and impacts; deliberate”. Every information demonstrating choice needs to bear the last information representation objective as a main priority. Each table and information relationship should have an obviously characterized reason in the extent of the report being created.

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Conclusion 

Data modelling in Power BI provides a very effective means for the companies to increase their business opportunities. It helps the companies to receive consistent results and thus, the companies are able to maximize their business potential.



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