AI-Driven AML & Financial Crimes Data Scientist

REMITLY PHL OPERATIONS INC; Mandaluyong; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Remitly PHL Operations Inc. seeks a seasoned Financial Crimes Analyst to lead data analytics for AI-powered detection systems within our Risk & Compliance team in Manila.

The role focuses on identifying money laundering, fraud, and sanctions risk while scaling AML controls for a growing online money transmitter. You will oversee AI-driven monitoring, analyze high-risk transactions, collaborate with Identity & Trust, and help refine models to reduce false positives.

Qualifications

• 4+ years AML/CFT transaction monitoring analytics, fraud/risk analytics, or data analysis roles.
• 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

• 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.

Skills

SQL

Python

R

Tableau

Blockchain analysis

Education

Bachelor's or advanced degree in a quantitative field

Job description

Remitly PHL Operations Inc. seeks a seasoned Financial Crimes Analyst to lead data analytics for AI-powered detection systems within our Risk & Compliance team in Manila.

The role focuses on identifying money laundering, fraud, and sanctions risk while scaling AML controls for a growing online money transmitter. You will oversee AI-driven monitoring, analyze high-risk transactions, collaborate with Identity & Trust, and help refine models to reduce false positives.