Financial Crimes Compliance Analyst

Title: Financial Crimes Analyst Manager: Executive Lead, Regional & Global Compliance Operations Department: Compliance Operations About the Role: Risk and Compliance teams are a cornerstone of the business. A seasoned Financial Crimes Analyst is needed 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. The ideal applicant for this role will have an excellent level of compliance and analytical experience identifying trends and patterns, along with comfort handling diverse tasks and projects. You Will: Work within a compliance-focused function within the Financial Crimes Compliance team. This function assists 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 leveraging this information to evaluate 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 systems are working and to understand customer experiences. Distill business problems from discussions, develop hypotheses, build analytical frameworks, carry out analyses, and write clear recommendations. Design experiments, evaluate 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. Expertise in SQL and proficiency in tools such as Python or R for data analysis. Experience with AML/CFT detection strategies, risk scoring, and related metrics. Experience with data visualization tools such as Tableau or similar. Experience with blockchain analysis and unsupervised/semi-supervised anomaly detection models is a plus. Strong communication skills with an ability to simplify complex data insights for business stakeholders. Bachelor''s or advanced degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or related). Substantive knowledge of AML and fraud regulations and related typologies within the financial technology sector. Experience working in a compliance-driven environment while ensuring a positive customer experience.