Identifying Suspicious Activity: 11 Red Flags in Financial Transactions

Financial crime often starts quietly without the dramatic heists depicted in cinema. In real life, it often commences with subtle, suspicious behaviors hiding in plain sight. Whether it’s a modest account suddenly flooded with cash or transactions routed through shadowy jurisdictions, these anomalies may be signals that something deeper is at play.

For risk managers, AML compliance teams and fraud analysts, identifying suspicious activity is more than compliance; it’s about safeguarding the business, protecting customers and maintaining the integrity of today’s financial systems. As money laundering techniques become more complicated with emerging technologies, organizations today must turn to smarter tools and sharper judgments to detect red flags earlier and more accurately. 

Below, we break down 11 of the most critical red flags in modern financial transactions. By recognizing these warning signs early, your team can respond decisively, stopping threats before they escalate.

11 red flags in financial transactions

1. Unusual Transaction Patterns

A customer with a low or moderate income profile suddenly makes large cash deposits several times a week. These transactions far exceed their expected and historical financial behaviors and lack a credible explanation.

Why It Matters: These deposits may indicate an attempt to launder illicit funds by integrating them into the financial system in a way that appears legitimate, in a tactic known as placement.

2. Structuring (Smurfing)

Rather than depositing a single large amount, a customer breaks it down into multiple smaller sums and spreads them across different accounts or branches — for example, depositing $2,000, $5,000 or $3,00 instead of $10,000 to avoid triggering reporting requirements.

Why It Matters: Structuring is a classic method of evading detection and avoiding AML alerts. It involves deliberately splitting sums into smaller, less conspicuous amounts to prevent scrutiny and hide the total value of a transaction.

3. Transfers to and from High-Risk Jurisdictions

Frequent fund transfers to or from countries known for corruption, terrorism financing or weak AML oversight, primarily those considered tax havens or offshore centers, can raise red flags.

Why It Matters: These regions often obscure fund origins, making them attractive for laundering money and disguising illicit flows.

4. Unclear Source of Funds

A customer deposits a large sum without an explicit or legitimate source, such as salary, inheritance or a business deal. When questioned, the explanations are vague or inconsistent.

Why It Matters: Lack of documentation or clarity about the origin of funds may point to illegal activity or attempts to obscure financial trails.

5. Rapid Movement of Money

Funds that are swiftly transferred across several accounts and even geographies in a short period, often without an obvious commercial rationale.

Why It Matters: This behavior aligns with the layering phase of money laundering, in which criminals move funds through various accounts to blur the audit trail and distance funds from their source.

6. Customer Activity That Doesn’t Add Up

For instance, a local small business owner who typically sends domestic payments begins executing large international transfers or shows sudden interest in crypto trading.

Why It Matters: Deviations from standard patterns may signal that the account has been compromised, taken over or repurposed for criminal activity.

7. Multiple Accounts Under Different Names

A customer opens several accounts using variations of their name or entirely different identities, then conducts inter-account transfers with no apparent business justification.

Why It Matters: This tactic makes it harder to track funds and identify the actual account holder, which is often intentional in laundering schemes. Fraud rings and money mules usually use variants to evade detection.

8. Excessive Cash Handling

When a customer routinely deposits or withdraws large amounts of cash, the amount far exceeds their stated income or the typical cash flow for their type of business.

Why It Matters: Cash is inherently more complex to trace and frequently used to clean illicit funds, especially when volumes exceed typical patterns.

9. High-Risk Industries and Products

Businesses operating in sectors such as gambling, cryptocurrency or luxury goods that exhibit unusual activity, such as large, frequent transfers or sudden spikes in volume.

Why It Matters: Criminals have historically exploited these industries due to their liquidity and lower levels of oversight. Unusual spikes often warrant investigation.

10. Complex Ownership Structures

A company is owned by a web of shell corporations or offshore entities that don’t serve any legitimate commercial function and obscure the actual beneficial owners.

Why It Matters: Complexity without necessity is often a cover. These setups are frequently used to shield criminal actors and conceal illicit assets.

11. Third-Party Accounts

A customer may ask for deposits into accounts that aren’t in their name or authorize intermediaries to conduct transactions on their behalf.

Why It Matters: Using third-party accounts is a known technique for obscurely identifying who owns or benefits from the funds, a common element in laundering operations.

Red Flags Rarely Stand Alone

Suspicious activity isn’t always easy to spot as it’s frequently embedded in patterns that appear mundane on the surface. However, when seen through the right lens, these signals become clear indicators of deeper risks. Recognizing them early helps compliance teams proactively act before minor anomalies escalate into large-scale threats.

At SEON, we empower businesses to stay ahead of financial crime by combining behavioral biometrics, device intelligence and advanced digital footprint analysis to surface these red flags in real time. Our fraud and AML tools are designed to cut through the noise, reduce false positives and help teams focus on what matters most: protecting their platforms and customers.

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