Financial Crimes Compliance Analyst

About the Role:

Our Risk and Compliance teams are a cornerstone of our business. We are seeking a seasoned Financial Crimes Analyst to lead sophisticated data analytics for ongoing and enhancing AI-powered detection systems. This role is pivotal in identifying and mitigating complex financial crimes, including money laundering, fraud, and sanctions violations. The ideal candidate will possess deep expertise in financial crime analytics and a strong proficiency in leveraging AI and machine learning tools to detect and prevent illicit activities.

As an online money transmitter, Remitly is growing while maintaining high customer service, performance and compliance standards. Remitly is a licensed financial services company in several jurisdictions. Each of these jurisdictions requires, among other items, that Remitly maintain a comprehensive Anti-Money Laundering/Counter-Terrorist Financing transaction monitoring program.

The ideal applicant for this role will have an excellent level of compliance and analytical experience identifying trends and patterns and being comfortable with different tasks and projects will be a key part of the role. This role is based in our office in Manila.

You Will:

Work within a compliance focused function within the Fin Crimes Compliance team. This function will assist by reviewing and testing existing transaction monitoring inputs for effectiveness, analyzing unusual activity within customer profiles that may be related to money laundering or fraud and leverage this information for evaluating existing Transaction Monitoring features. Identify customer-related trends, patterns and issues associated with money laundering, terrorist financing and other unwanted and fraudulent transaction activity.

• Oversee and refine AI-driven transaction monitoring systems to identify suspicious activities, utilizing both vendor and in-house platforms
• Lead in-depth analyses of high-risk transactions and customer behaviors, employing tools to uncover hidden patterns and anomalies.
• Collaborate with Identity & Trust teams to conduct testing for fine-tuning machine learning models, enhancing detection accuracy and reducing false positives
• Ensure adherence to AML and sanctions regulations and guidelines, staying abreast of evolving compliance requirements
• Work closely with compliance, legal, Identity & Trust, and operations teams to develop and implement strategies for financial crime prevention.
• Create metrics and dashboards used to confirm our systems are working and to understand what customers are experiencing
• Distill business problems from discussions, develop hypotheses, building analytical frameworks, carrying out analyses, and writing clear recommendations
• Design experiments, read A/B tests, and perform ad hoc analyses

You Have:

• 4+ years of experience in AML/CFT transaction monitoring analytics, fraud/risk analytics, or data analysis roles.
• Expert in SQL and proficient in tools like Python or R for data analysis.
• Experience with AML/CFT detection strategies, risk scoring, and related metrics.
• Experience with data visualisation tools like Tableau or similar.
• Experience with blockchain analysis and unsupervised and semi-supervised anomaly detection models is a plus
• Clear communicator with a knack for simplifying complex data insights for business stakeholders.
• Bachelor's or advanced degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, etc.).
• Substantive knowledge of AML and fraud regulations and related typologies within the fintech industry.
• Experience working in a compliance driven environment while ensuring a positive customer experience.