AI-Driven Financial Crimes Analyst

NA; Mandaluyong; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Job opening for a Financial Crimes Analyst in a compliance operations team. The role focuses on leading data analytics for AI-powered detection systems to identify and mitigate money laundering, fraud, and sanctions violations.

Candidates should have deep expertise in financial crime analytics and the ability to leverage ML tools to improve detection accuracy. The ideal candidate will handle testing inputs for transaction monitoring, oversee AI-driven systems, and collaborate across teams to

Qualifications

• 4+ years in AML/CFT monitoring analytics, fraud/risk analytics, or data roles.
• Strong SQL skills and Python or R for data analysis.
• Experience with AML/CFT detection, risk scoring, and related metrics.
• Experience with data visualization tools such as Tableau.

Responsibilities

• Work in a compliance-focused function to review and test transaction monitoring inputs.
• Analyze unusual activity in customer profiles related to money laundering or fraud.
• Oversee and refine AI-driven transaction monitoring systems for suspicious activity.
• Lead in-depth analyses of high-risk transactions and customer behaviors.
• Collaborate with Identity & Trust teams to test ML models and reduce false positives.
• Ensure adherence to AML and sanctions regulations and evolving requirements.
• Develop strategies for financial crime prevention with cross-functional teams.
• Create metrics and dashboards to monitor system performance and customer experience.
• Distill business problems, build hypotheses, and write clear recommendations.
• Design experiments, conduct A/B tests, and perform ad hoc analyses.

Skills

AML/CFT analytics

SQL

Python/R

Tableau

Communication

Education

Bachelor's or advanced degree in a quantitative field

Tools

Blockchain analysis tools

Job description

Job opening for a Financial Crimes Analyst in a compliance operations team. The role focuses on leading data analytics for AI-powered detection systems to identify and mitigate money laundering, fraud, and sanctions violations.

Candidates should have deep expertise in financial crime analytics and the ability to leverage ML tools to improve detection accuracy. The ideal candidate will handle testing inputs for transaction monitoring, oversee AI-driven systems, and collaborate across teams to