Financial Crimes Compliance Data Analyst
Core
Lead sophisticated data analytics for AI-powered detection systems to identify and mitigate complex financial crimes including money laundering, fraud, and sanctions violations.
Role type
Senior Financial Crimes Compliance Data Analyst
Builds
AI-driven transaction monitoring systems and detection strategies
Domain
Fintech / Financial Crime Compliance / AML/CFT
Deliverable
production ML models
Required skills
SQL, Python, R, AML/CFT detection strategies, risk scoring, data visualization, blockchain analysis, unsupervised anomaly detection
Preferred skills
semi-supervised anomaly detection
Technologies
Tableau, Python, R, SQL (via careerplan.io/jobs/106825-financial-crimes-compliance-data-analyst-at-remitly)
Responsibilities
Review and test transaction monitoring inputs for effectiveness; analyze unusual customer activity related to money laundering or fraud; oversee and refine AI-driven transaction monitoring systems; collaborate with Identity & Trust teams to fine-tune machine learning models; create metrics and dashboards to confirm system performance; design experiments and perform ad hoc analyses.
Seniority
Senior, hands-on IC