By: Abayomi Oluwaseun Japinye
Despite the Central Bank of Nigeria’s prohibition in February 2021 on banks and financial institutions facilitating cryptocurrency transactions, the swift adoption of cryptocurrencies in Nigeria has presented both opportunities and challenges.
While digital currencies can enhance financial inclusion, spur economic innovation, and improve remittance processes, their pseudo-anonymity and decentralized nature have rendered them susceptible to misuse, particularly for illicit activities such as money laundering and financing terrorism.
The situation is pressing, and implementing stronger regulations is not just advisable but essential to ensure Nigeria’s economic stability and security.
Nigeria’s Cryptocurrency Landscape
Nigeria boasts one of the world’s highest rates of cryptocurrency adoption, driven by a youthful population, economic instability, and limited access to traditional banking.
However, this growing interest also exposes the country to various crimes, including fraud, terrorism financing, and cyberattacks.
The study “Integrating Machine Learning in Anti-Money Laundering through Crypto” by Japinye A. O. highlights that cryptocurrencies’ decentralised and pseudonymous nature poses significant challenges for law enforcement and regulatory agencies.
While machine learning (ML) has emerged as a vital tool for identifying suspicious patterns and combating financial crimes, its use in Nigeria is still in the early stages of development.
Lessons from Global Best Practices
Countries like the United States and Singapore have shown how robust regulatory frameworks can curb cryptocurrency misuse. The U.S. has mandated KYC (Know Your Customer) and AML (Anti-Money Laundering) protocols for crypto transactions, while Singapore employs a tiered regulatory approach balancing innovation with security.
As my earlier research highlighted, advanced ML algorithms such as Graph Convolutional Networks (GCNs) and Random Forests have proven effective in detecting and preventing crypto laundering activities. Nigeria can adopt these technologies to bolster its AML strategies.
Recommendations for Nigeria
- Adopting Machine Learning in AML: ML models, including GCNs and deep learning algorithms, excel in analysing complex transaction patterns. Nigerian regulators and financial institutions should invest in these technologies to enhance detection capabilities.
- Enforcing KYC and AML Compliance: Crypto exchanges operating in Nigeria must implement stringent KYC and AML protocols. This would involve user verification, transaction monitoring, and regular reporting to regulatory authorities.
- Strengthening Regulatory Frameworks: Nigeria must establish a comprehensive regulatory framework suited to its unique socio-economic context. This should include licensing requirements for exchanges, taxation policies, and strict penalties for non-compliance. This can be achieved through collaboration between Nigeria’s Securities and Exchange Commission (SEC) and the Central Bank of Nigeria (CBN).
- International Collaboration: To combat the cross-border nature of crypto crimes, Nigeria must collaborate with global bodies like the Financial Action Task Force (FATF) and adopt blockchain analytics tools to trace illicit transactions, as advocated in my previous study.
- Public Awareness and Education: Public education campaigns are critical for informing citizens about the risks of crypto-related scams and illicit activities.
Integrating Machine Learning in Regulatory Practices
My earlier research reveals that despite advancements in ML technologies, practical implementation in AML frameworks faces challenges such as data privacy, jurisdictional issues, and the dynamic nature of cryptocurrency technologies.
Nigeria can address these challenges by establishing a centralised body to oversee the integration of ML into regulatory practices and incentivising partnerships between crypto exchanges and ML technology providers.
Benefits of Enhanced Regulation
Enhanced regulation would not stifle Nigeria’s vibrant crypto market but would ensure its sustainability. By leveraging technologies like ML, Nigeria can build a secure cryptocurrency ecosystem that fosters trust, attracts foreign investment, and supports economic growth.
This regulation would align crypto adoption with national security objectives, mitigating its misuse of illicit activities and paving the way for a promising future.
Conclusion
Nigeria’s journey with cryptocurrency regulation is at a pivotal stage. The insights from ‘Integrating Machine Learning in Anti-Money Laundering through Crypto’ underscore the urgency of adopting advanced technologies and global best practices to tackle the challenges posed by cryptocurrencies.
With stronger policies, Nigeria can create a balanced and secure crypto environment, reaping the benefits of innovation while minimising risks.
About Abayomi Oluwaseun Japinye
Abayomi O. Japinye is a seasoned cybersecurity and Anti-Money Laundering/Combating the Financing of Terrorism (AML/CFT) examiner at the Central Bank of Nigeria.
Holding a PhD in Business Administration and several leading certifications in cybersecurity, including CISA, CISM, and CompTIA SecurityX, as well as ACAMS certification as a Certified Anti-Money Laundering Specialist, Abayomi is dedicated to advancing financial sector security and regulatory compliance.
A strong advocate for financial and cybersecurity education and technological innovation, he is deeply committed to protecting Nigeria’s financial landscape from cyber threats and financial crimes.
His commitment to excellence and continuous professional development underscores his impact on the field. He can be reached via email aojapinye@gmail.com
Caveat:
This article is the opinion of the writer and not that of the Central Bank of Nigeria
