AI-Driven Financial Crimes Data Analyst

Remitly

Manila

Sur place

PHP 1 200 000 - 1 800 000

Plein temps

14 jours+

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Résumé du poste

Remitly, a licensed online money transmitter, is seeking a seasoned Financial Crimes Analyst in Manila to lead advanced data analytics for AI-powered detection systems. You will work within the Fin Crimes Compliance team to identify money laundering, fraud, and sanctions risks, and to improve monitoring with machine learning tools.

The role requires 4+ years in AML/CFT analytics or related data roles, strong SQL and Python/R skills, and experience with Tableau.

Qualifications

  • 4+ years of 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 visualization tools like Tableau or similar.
  • Substantive knowledge of AML and fraud regulations in fintech.

Responsabilités

  • Review and test transaction monitoring inputs for effectiveness.
  • Analyze unusual activity within customer profiles related to money laundering or fraud.
  • Refine AI-driven monitoring systems to identify suspicious activities.
  • Lead in-depth analyses of high-risk transactions and customer behaviors.
  • Collaborate with Identity & Trust to fine-tune machine learning models.
  • Ensure adherence to AML and sanctions regulations.
  • Create metrics and dashboards to monitor system performance and user experience.
  • Translate business problems into hypotheses and actionable recommendations.

Connaissances

AML/CFT analytics
Data analysis
Statistical thinking
Communication
Team collaboration

Formation

Bachelor's or advanced degree in a quantitative field

Outils

SQL
Python
R
Tableau
Blockchain analytics tools

Description du poste

Remitly, a licensed online money transmitter, is seeking a seasoned Financial Crimes Analyst in Manila to lead advanced data analytics for AI-powered detection systems. You will work within the Fin Crimes Compliance team to identify money laundering, fraud, and sanctions risks, and to improve monitoring with machine learning tools.

The role requires 4+ years in AML/CFT analytics or related data roles, strong SQL and Python/R skills, and experience with Tableau.

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