AI-Powered Financial Crimes Data Analyst

Remitly PHL Operations Inc.; Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Remitly is seeking a seasoned Financial Crimes Analyst in Manila to lead AI-powered analytics for detecting money laundering, fraud, and sanctions violations. You will refine transaction monitoring systems and collaborate across teams to improve detection accuracy while maintaining excellent customer service.

The role emphasizes building analytics frameworks, dashboards, and experimental designs, with a strong focus on regulatory compliance and data-driven decision making.

Qualifications

• 4+ years of AML/CFT transaction monitoring analytics, fraud/risk analytics, or data analysis experience.
• Expert in SQL and proficient in 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.

Responsibilities

• Lead analyses to detect money laundering, fraud, and sanctions violations using AI-powered systems.
• Oversee AI-driven transaction monitoring, refine models, and reduce false positives.
• Collaborate with Identity & Trust and other teams to tune machine learning models.
• Create dashboards and metrics to monitor system effectiveness and customer impact.
• Design experiments, perform A/B tests, and communicate clear recommendations.

Skills

SQL

Python

R

Education

Bachelor's or higher in quantitative field

Tools

Tableau

Job description

Remitly is seeking a seasoned Financial Crimes Analyst in Manila to lead AI-powered analytics for detecting money laundering, fraud, and sanctions violations. You will refine transaction monitoring systems and collaborate across teams to improve detection accuracy while maintaining excellent customer service.

The role emphasizes building analytics frameworks, dashboards, and experimental designs, with a strong focus on regulatory compliance and data-driven decision making.