Naming your Financial Crime rules
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So, you do a perfect analysis of a fraud pattern, understand the features involved in the rule and you now ready to implement the rule. Do you give much thought of naming the rule? Or may I ask if you give any importance to naming a rule at all?
Well-structured rule names provide clarity across financial crime teams, simplify the implementation of rules, and streamline the monitoring and auditing processes. Poor names to rules, on the other hand, can lead to confusion, miscommunication, and difficulties in managing rule changes.
Why Naming your rules effectively Matter:
- Clarity: Clear and concise rule names help analysts quickly identify the purpose and functionality of a rule without needing to dig into lengthy documentation or descriptions.
- Consistency: Standardized naming conventions across teams and systems ensure that everyone speaks the same language when referring to specific rules, promoting seamless communication and collaboration.
- Scalability: As the number of rules grows, a strong naming convention allows for easy expansion while maintaining order. For instance, adding new variations of rules (like AD4 or AD5) becomes straightforward without creating ambiguity.
- Efficiency: A clear naming structure aids in the quick identification and resolution of issues. Auditors, analysts, and fraud prevention teams can locate, evaluate, and adjust rules faster, minimizing downtime and improving response times.
- Organization: Organized rule names make it easier to categorize and group rules based on their function or category, ensuring that related rules are reviewed and managed together.
- Version Control: Naming conventions assist in tracking changes to rules over time. For instance, if a rule undergoes modifications, the naming can incorporate version identifiers (e.g., AD1_v2), simplifying rule audits and updates.
- Auditability: Proper naming conventions ensure that rules can be easily audited for compliance and performance evaluations. This is critical in financial crime management, where adherence to regulations is non-negotiable.
Example Naming Convention Structure: Each rule name can consist of a category identifier, a unique number or letter, and possibly a version indicator. Here are a few examples:
Rule Name | Rule current score | Active/not active | Rule category | Rule description | Rule last modified |
AD01 | 50 | Not active | Address | Delivery address is a PO Box | 1/03/2024 |
AD02 | 30 | Active | Address | Address is not matched on the postcode address file | 2/06/2024 |
AD03 | 70 | Not Active | Address | The address is linked to multiple accounts | 3/05/2024 |
TX01 | 80 | Active | Transaction | Large transaction to a high-risk country | 1/05/2024 |
TX02 | 65 | Active | Transaction | Frequent small transactions below threshold | 3/07/2024 |
AD01_v2 | 60 | Active | Address | Delivery address is a PO Box | 2/04/2024 |
EM01 | 90 | Active | Employment | Employment status does not match income level | 3/06/2024 |
Breakdown of Table Columns:
- Rule ID/name: This represents the identifier for the rule, starting with the category (e.g., AD for Address or TX for Transaction), followed by a unique number that differentiates rules within the category.
- Score: The score reflects the risk weight assigned to the rule. Higher scores indicate more serious or critical rules.
- Active/Not Active: This column indicates whether the rule is currently in effect or has been deactivated, allowing teams to track which rules are operational.
- Rule Category: This is the overarching category under which the rule falls, such as Address, Transaction, or Cash activity, helping to group related rules for easier management.
- Rule Description: A brief explanation of what the rule checks for, providing context for users.
- Last Modified: A date showing when the rule was last updated or reviewed, ensuring that the rules management is transparent and that rules are regularly revisited for accuracy. For example, in cases where a rules score changed over the years, the last modified date and the rule id/name will help us understand the history of scores given to the rule and how they changed. This is especially useful for audit purposes.
Other options to be considered might be Rule Creation date, Rule full description (along with rule description), Rule Owner/Creator, a separate rule version in case you don’t want to include version numbers in the Rule name/id, Rule next review date.
Final Thoughts:
The structured approach of effectively naming your financial crime rules helps during audits or managing the rules or even scaling rule-based systems with ease. Which is why I firmly believe by employing consistent, logical, and scalable naming conventions, financial institutions can optimize their financial crime rules management and ensure that they remain adaptable to evolving financial crime tactics and rules.