Regulatory Compliance and Anti-Money Laundering
By vaayaa Editorial Team · Subject panel: Wang Jianguo (CFA, MBA Finance), Aditya Verma (CA, MBA Finance)
Regulatory compliance and AML is the work of keeping a firm's customer onboarding, monitoring and reporting within the law so criminals cannot move illicit money through it. Regulators enforce these duties with fines that can reach tens of millions of dollars [1][2].
Key takeaways
- Core AML duties rest on knowing the customer, watching activity over time and reporting genuine suspicion [3][4].
- Enforcement cases show that most failures involve weak monitoring, slow remediation and late reporting [1][5][6].
- The legal framework differs by country, so a learner should know which regulator and statute applies [7][8].
- Data quality and staffing limit what most teams can automate, according to a survey of compliance leaders [9].
- A learner can build competence step by step by studying rules, reading case files and writing short case memos [3][10].
Money laundering is the attempt to pass the proceeds of crime through legitimate financial channels so their origin is hidden. Regulators require banks and other financial institutions to prevent their own services from being used as a channel for money laundering and terrorist financing [11]. Banks, brokers, payment firms and money transmitters all sit in the path of those funds, which is why they must run AML programs.
The work is practical. A compliance analyst checks identity records, reviews alerts, files reports with a financial intelligence unit and prepares evidence for examiners. A learner who understands the rules, the usual failures and the reporting chain can work in onboarding, monitoring, investigations or governance. The sections below cover the core duties, the enforcement record, the frameworks that differ by country, the pressures on teams and a learning path.
Customer identification and due diligence at onboarding
The first duty is knowing who the customer is. Under Indian KYC directions, regulated entities must verify a customer's identity before starting an account-based relationship [8]. The customer identification program and due diligence form the base of the AML program, and examiners look at them first [12].
Due diligence goes beyond identity. Staff must understand the customer's business, the expected activity and the source of funds, and they must apply closer checks to higher-risk clients [12][5]. In the Santander case, the regulator found that the bank had ineffective systems to verify what business customers said they would be doing [5].
What a strong onboarding file contains
- The identity documents used and how they were verified [7][8].
- The beneficial owners of any legal entity, identified and recorded [13].
- An expected activity profile, such as expected monthly deposits [5].
- A risk rating with the reasons for it, so later reviews can test the rating [12].
Fact The FCA found that a business account with expected monthly deposits of £5,000 received millions of pounds within six months, and the bank's own AML team recommended closing it long before that was acted upon [5].
Transaction monitoring, alerts and case review
Transaction monitoring is the ongoing review of customer activity, both in real time and over time, to catch activity that does not fit the customer's known profile [10]. It is an obligation that runs for the life of the relationship, not only at onboarding [3]. Supervisors examine this control closely because it is hard to operate well [3].
A typical process starts when a rule or model generates an alert. A first-line analyst opens the alert, pulls the surrounding context and judges whether a plausible explanation exists. Borderline cases move to a more experienced reviewer, and a suspicion that is established goes to the officer responsible for filing [3]. A Basel Committee stocktake across 19 jurisdictions found varied approaches to data collection and risk assessment methods [14].
Rules, models and their trade-offs
Rule-based monitoring fires on explicit conditions, such as cash above a set threshold or transfers to a flagged country. It is transparent and easy to explain to an auditor, but it is rigid [10]. Machine learning models can adapt to patterns, yet they need long calibration and a close eye on what they flag [4].
Opinion In most teams, a well-tuned rule set is a better starting control than a model no one can explain, because examiners need to follow the reasoning behind each alert.
Source: vaayaa analysis of cited data
View chart data
| Cite cost and data quality as top barriers | 46% |
| Very confident in their data quality | 11% |
| Never calculated ROI on technology | 72% |
Suspicious activity reporting and record keeping
Monitoring feeds the reports a firm must file with its financial intelligence unit [10]. In the United States, the Bank Secrecy Act is the primary AML law, and it requires firms to register, maintain an effective AML program and file suspicious activity reports [2]. FinCEN listed those failures as willful violations in its penalty against Brink's [2].
Timeliness matters as much as filing. In the Bank of America action, regulators said more than $5 billion in suspicious activity was reported late or not identified promptly [6]. Record keeping supports the whole chain, and the PML Rules set the record requirements that Indian institutions must follow [7].
- Keep identification and transaction records in a form an examiner can retrieve [7][8].
- Write a short reason for every alert that is closed without a report [3].
- Record the reasons for closing or keeping a high-risk account [15].
- Send suspicion to the reporting officer without delay [10].
Fact FinCEN said Brink's willfully failed to file suspicious activity reports, along with failing to register as a money services business and to maintain an effective AML program [2].
| Aspect | Customer due diligence | Transaction monitoring | Suspicious activity reporting | Basis |
|---|---|---|---|---|
| Main question | Who is the customer and what do they expect to do | Does activity fit that expected profile | Is the suspicion strong enough to report | Opinion |
| Typical duty source | Identity verification before an account relationship [8] | Ongoing monitoring of the relationship [3] | Reports to the FIU under the Bank Secrecy Act [2] | Fact |
| Common failure in cases | Ineffective checks of business activity [5] | Monitoring gaps for foreign currency wires [1] | Over $5 billion reported late or not identified promptly [6] | Fact |
| Typical output | Risk-rated customer file | Alert and case notes | Filed report with a clear narrative | Opinion |
| Learner evidence | Written review of an onboarding file | Memo explaining an alert decision | Drafted narrative for a scenario | Opinion |
Enforcement cases that show where programs break down
Enforcement actions give a practical view of failure. FINRA fined UBS Financial Services $20 million after finding that the firm had not remediated foreign currency wire monitoring problems that were the subject of an earlier settlement [1]. FINRA said the case reflected escalating sanctions for repeat misconduct [1].
Other cases follow similar patterns. The New York Department of Financial Services secured a $33 million penalty from Skandinaviska Enskilda Banken, citing gaps in its BSA/AML program and inadequate customer due diligence [12]. The SEC charged LPL Financial with customer identification failures and obtained an $18 million civil penalty [15].
Penalties also reflect growth and scale. The New York DFS fined Block $40 million for AML program failures tied to its Cash App platform and required an independent monitor to review its remediation [16].
Fact The New York DFS said that compliance functions must keep pace with company growth, and that the rapid growth of Cash App without a robust compliance function created risk [16].
Source: vaayaa analysis of cited data
View chart data
| Plan to innovate with AI | 80% |
| Have not started planning yet | 10% |
| Have no defined plans | 10% |
How frameworks differ across India, the United States and the United Kingdom
The core obligations are similar across countries, but the legal texts differ. In India, the Prevention of Money-Laundering Act and the Maintenance of Records Rules form the legal framework for AML and countering the financing of terrorism, and the RBI issues KYC directions for banks [8][17]. Local Area Banks follow the same structure of KYC, customer due diligence and reporting to FIU-IND [18].
In the United States, FinCEN, the Office of the Comptroller of the Currency, OFAC and state regulators such as the New York DFS can each bring cases against the same firm [6][16]. In the United Kingdom, the Solicitors Regulation Authority fined a recognized body £25,000 after finding failures in client and matter risk assessments and customer due diligence under the Money Laundering Regulations [19].
Why the differences matter
A firm working in several markets must map each regulator's rules to one program. The Financial Action Task Force standards give a common baseline, and fintech products can fall under more than one regulator at the same time [7][3].
Assumption A learner who studies one framework in depth can usually read another faster, because the risk-based logic, the customer file and the reporting chain are largely shared.
Technology, data quality and staffing pressures
Technology now sits at the center of monitoring. A survey of more than 250 senior financial crime and compliance professionals across banking, insurance and fintech, produced by SymphonyAI and AML Intelligence, found that 80% plan to innovate with AI [9]. The same survey found that cost and data quality were the top barriers, cited by 46% of respondents [9].
Data quality is the constraint many teams face. Only 11% of respondents were very confident in their data, and over half admitted significant fragmentation or gaps [9]. Commentary from the FIAU notes that AI and machine learning tools still need long adaptation and careful review of their flags [4].
Staffing shapes outcomes too. A compliance analyst role described by Visa asks for knowledge of AML typologies, due diligence on sanctions programs and handling of queries from regulators and clients [20]. Teams that lack that depth tend to rely on tools they cannot explain.
Fact 72% of respondents said they had never calculated ROI on their technology investments, according to the FinCrime Frontier survey reported by AML Intelligence [9].
Original analysis
vaayaa analysis: penalties measured against affected volume
- Take the UBS Financial penalty of $20 million and the volume of more than 60,000 transactions totaling $10 billion reported by FINRA [1].
- Divide the penalty by the total value: $20,000,000 divided by $10,000,000,000 equals 0.002, or 0.2% of the value involved.
- Take the Santander penalty of £107,793,300 and the more than 560,000 business customers whose oversight was affected, as reported by the FCA [5].
- Divide the penalty by the number of customers: £107,793,300 divided by 560,000 equals about £192.49 per affected customer.
- Compare the two results only as illustrations, because the cases differ in scope, duration and regulator.
Penalty size tracks scope poorly across cases. A fine equal to 0.2% of the value involved in one case works out to about £192 per affected customer in another. Analysts should read fines alongside the volume of activity affected rather than treat headline amounts as a measure of severity.
A step-by-step path for building AML competence
- 1
Learn the legal base
Read the Financial Action Task Force baseline and one national framework, such as the PMLA and the KYC directions [11][8].
- 2
Study customer due diligence
Work through identity, beneficial ownership and expected activity using written onboarding examples [13][5].
- 3
Understand monitoring
Learn how rules and alerts work, and how an analyst closes or escalates a case [3][10].
- 4
Analyze enforcement cases
Read written settlements such as the UBS and SEB resolutions and map each failure to the control that should have caught it [1][21].
- 5
Practice written reporting
Draft a short case memo and a suspicious activity narrative for a set scenario, following the structure in the reporting rules [2].
Worked example
Testing an account against its expected activity
- Record the expected activity from the onboarding file: expected monthly deposits of £5,000 [5].
- Calculate the expected six-month total: 6 multiplied by £5,000 equals £30,000.
- Read the reported activity as at least £1,000,000, since the FCA described millions of pounds received [5]. This reading is an assumption about the word millions.
- Divide the actual figure by the expected figure: £1,000,000 divided by £30,000 is about 33.3.
- Flag the account for review because inflows were at least about 33 times the expected amount.
On the stated assumption, the account received at least about 33 times its expected six-month deposits, a gap that a monitoring rule comparing activity to the profile should have raised for analyst review [5][3].
Practical checklist for an AML file review
- Confirm the identity documents and the verification method are recorded before any account opens [8].
- Record the expected activity profile so later transactions have a baseline [5].
- Write a reason for every alert closed without a report [3].
- Check that each remediation item from a past finding was actually implemented [1].
- Send any suspicion to the reporting officer without delay [10].
- Review a sample of files against the current rule book on a set schedule [12].
Frequently asked questions
Do I need a law degree to work in AML compliance?
Not always. Many entry roles ask for working knowledge of identity checks, transaction review and written reporting. One Visa compliance role asks for knowledge of AML typologies and legislation in India and regulated markets in South Asia, along with due diligence and management reporting [20]. A learner can build that knowledge through rules, case files and typology reading.
What is the difference between KYC and transaction monitoring?
KYC settles who the customer is at onboarding, including identity and beneficial ownership [13]. Transaction monitoring is the ongoing review that checks whether later activity fits that profile [10]. Both feed the wider AML program, and a weak KYC file makes monitoring harder because there is no baseline to compare against [5].
How large are typical AML penalties?
Penalties vary widely. FINRA fined UBS Financial $20 million, the SEC obtained an $18 million civil penalty from LPL, and FinCEN assessed $37,000,000 against Brink's [1][15][2]. The UK Solicitors Regulation Authority fined one firm £25,000 [19]. Size depends on the failure, its duration and the firm's scale, so treat any single figure as one data point.
Is AI required for compliance work?
No source reviewed requires it. A survey by SymphonyAI and AML Intelligence found that 80% of compliance leaders plan AI innovation, but cost and data quality remain barriers [9]. Regulators in several regions expect explainability and human oversight of automated tools [22]. Rule-based systems remain common and are easier to explain to examiners [10].
What should a beginner study first?
Start with the Financial Action Task Force baseline and one national framework, then learn how due diligence, monitoring and reporting connect [11][8]. Next, read enforcement settlements and note which control failed in each one. A learner who can explain a case in writing is usually ready for entry-level review work [1][12].
Does compliance work involve giving legal advice?
Compliance staff apply internal policies and regulatory rules to customers and transactions. They escalate legal questions to counsel or the reporting officer rather than deciding legal outcomes alone. The Visa role describes handling queries from regulators, clients and partners as part of the duties [20]. This discourse covers the work as education and career information only.
Conclusion
Regulatory compliance and AML rest on a simple chain: know the customer, watch the activity, report genuine suspicion and keep evidence. The enforcement record shows that most failures come from breaks in that chain, such as unremediated monitoring gaps, weak due diligence and late reports [1][12][6].
For a learner, the practical route is to study the legal base, practice reading case files and write short, clear memos about decisions. Technology will change the tools, but the logic of risk-based review and documented judgment is likely to remain the core skill [3][9].
This discourse describes education and careers in finance. It is general information, not investment or tax advice.
Learning sources
References
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- fincen.gov. FinCEN Announces $37,000,000 Civil Money Penalty Against Brink’s Global Services USA, Inc. for Violations of the Bank Secrecy Act.
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- fca.org.uk. FCA fines Santander UK £107.7 million for repeated anti-money laundering failures.
- pinsentmasons.com. Bank of America AML failures offer lessons to UK banks.
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- fr.dfs.ny.gov. Superintendent Adrienne A. Harris Secures $40 Million Settlement with Block, Inc. for Inadequate Anti-Money Laundering Program and Virtual Currency Compliance Failures on Cash App Platform.
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