Financial Crime Prevention Expert

4 days ago


Makati City, National Capital Region, Philippines ING Hubs Philippines Full time

ING Hubs Philippines is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.

About the Company

We believe that sustainable progress is driven by people with imagination and determination to make a better future for themselves and those around them. At ING, our purpose is to empower people to stay a step ahead in life and business.

As a Customer Journey Expert, you will help us drive this vision forward by analyzing complex data from +20 countries and contributing to key data management and governance activities.

  • Analyze data from +20 countries to identify trends, patterns, and anomalies.
  • Contribute to key data management and governance activities.
  • Support the definition and follow-up on Data Roadmaps related to these countries.

Main Responsibilities:

  1. Prevent Money Laundering and Financial Crimes globally.
  2. Solve complex challenges and make decisions based on data and facts.
  3. Gather and analyze business requirements and design data solutions for various FC&FP initiatives.
  4. Optimize and automate processes and data to improve efficiency in FC&FP solutions.
  5. Stimulate cross-border interaction and coordinate the contribution of supporting teams.
  6. Identify ways to improve data governance framework, standards, and policies within FC&FP.
  7. Build bridges between business and IT, giving and asking for constructive feedback.
  8. Ensure compliance with ING's policies and standards.

Key Capabilities/Experience:

  • Data management expertise (data flows, data analysis, data integration, data quality, data governance).
  • Analyzing data sources and business requirements for product development.
  • Participating in realizing regulatory/process changes and translating requirements into functional designs and/or processes.
  • Basic experience in querying and analyzing large data sets to identify trends, patterns, and anomalies in data.


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