Case Study: Part 504.3 Model Validation for Crypto Exchanges Using Trust Licenses

by Brion Nazzaro, CCCE, CAMS, CRCM, CFE
May 9, 2024

Background:

Cryptocurrency exchanges operate in a dynamic regulatory environment, where compliance with anti-money laundering (AML) and counter-terrorism financing (CTF) regulations is not just mandatory but critical for operational longevity and reputation. Effective transaction monitoring systems are essential in detecting and reporting suspicious activities and are paramount in avoiding potential fines and legal issues.

Objective:

Our case study explores a prominent financial services company specializing in cryptocurrency transactions and licensed under multiple regulatory frameworks, including money transmission and trust. This company engaged with A7  to thoroughly review and validate its transaction monitoring systems to ensure compliance with NYDFS Part 504.3 model validation using the Federal Reserve’s SR 11-7 guidelines as the baseline for comparison.

A significant focus of the review was the implementation and effectiveness of the “Any Rule” within the company’s use of Chainalysis technology. The “Any Rule” is a key component of the company’s transaction monitoring framework, designed to flag transactions that exceed specific threshold values, thereby indicating potential unusual or suspicious activity. This rule is particularly crucial because it directly impacts the materiality of the models used to comply with anti-money laundering (AML) regulations, a key concept for SR 11-7.

Our comprehensive assessment helped the company understand within its intent how to fine-tune this rule, ensuring that it effectively identifies transactions needing further scrutiny without overwhelming the system with false positives. This calibration is vital for maintaining the efficiency of the transaction monitoring system, enabling the company to manage and mitigate risks effectively while adhering to regulatory requirements.

Challenges Faced by Cryptocurrency Exchanges:

Cryptocurrency exchanges face unique challenges in regulatory compliance, including:

  •  The exchange itself requires complex licensing depending on business choices like fiat on and off ramps and safe storage, which likely use trust, money transmission licenses, FBO, and complex FinTech enablements.
  • As a lucrative market, many companies attempt to enter New York. The New York state rules for Parts 504 and 500 are complex.

Solution Provided:

For this financial services company specializing in cryptocurrency transactions, the service involved a detailed review and validation of their transaction monitoring systems that were tuned by license. The review focused on ensuring transaction monitoring system model validation by comparing it to SR 11-7 guidance, which includes:

  • Evaluation of Conceptual Soundness. This element involves assessing the quality of the model design and construction, as well as review of documentation and empirical evidence supporting the methods used and variables selected for the model. This step in validation should ensure that judgment exercised in model design and construction is well informed, carefully considered, and consistent with published research and with sound industry practice.
  • Ongoing Monitoring. This step in validation is done to confirm that the model is appropriately implemented and is being used and performing as intended. It is essential to evaluate whether changes in products, exposures, activities, clients, or market conditions necessitate adjustment, redevelopment, or replacement of the model and to verify that any extension of the model beyond its original scope is valid. Benchmarking can be used in this step to compare a given model’s inputs and outputs to estimates from alternatives.
  • Outcomes Analysis. This step involves comparing model outputs to corresponding actual outcomes. Back-testing is one form of outcomes analysis that involves the comparison of actual outcomes with model forecasts during a sample time period not used in model development at a frequency that matches the model’s forecast horizon or performance window.

Key Benefits:

  • Enhanced compliance – By aligning transaction monitoring systems with SR 11-7, cryptocurrency exchanges can meet the stringent requirements set by regulators and avoid penalties.
  • Improved risk management – Accurate detection of suspicious activities helps in mitigating risks related to money laundering and terrorist financing.
  • Cost efficiency – With targeted reviews and potential scope adjustments, exchanges can optimize their compliance spending without compromising on effectiveness.

Execution:

For this company, the engagement was split into two phases:

  1. Independent AML Review: Required by the regulatory bodies for the company’s money transmission and trust licenses.
  2. Part 504.3 Review: From a Part 504.3 and SR 11-7 perspective, assessing readiness and compliance with more detailed transaction monitoring and filtering requirements.

Innovative Approach to Cost Management:

By combining the Independent Review with the Part 504.3 Validation A7 saved the client over 100 hours of duplicative work.

Conclusion

This case study highlights the crucial role of tailored, expert-led independent review and model validation in maintaining compliance and enhancing operational effectiveness for cryptocurrency exchanges in the rapidly evolving digital currency space.

      We understand the dynamic world of digital currency. Partner with A7 today to ensure your transaction monitoring systems meet regulatory standards and optimize operational efficiency.