Data Management Specialist

6 days ago


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

We are seeking an experienced Customer Journey Expert to join our team at ING Hubs Philippines. As a key member of our Global Financial Crime and Fraud Prevention area, you will play a vital role in driving higher quality and more efficient KYC monitoring and reviews for our consumers.

About the Role

You will be responsible for analyzing complex data from +20 countries, identifying trends, patterns, and anomalies in data to support business decisions. Your excellent communication skills will enable you to work effectively with business and technical stakeholders from these countries, ensuring seamless coordination and collaboration.

  • Analyze data from +20 countries to identify trends, patterns, and anomalies.
  • Communicate effectively with business and technical stakeholders from these countries.
  • 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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