Data Modeling Analyst - Global Financial Crime Prevention

ING Hubs B.V. Philippine Branch; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

ING Hubs B.V. Philippine Branch is seeking a Data Modeling Analyst to advance data solutions that combat financial crime, support KYC workflows, and ensure data quality across ING's global operations.

You will analyze complex datasets and collaborate with international teams to build scalable, compliant data models. The role emphasizes bridging business and technology, working within an Agile environment, and contributing to the prevention of money laundering, sanctions breaches, and fraud

Qualifications

• Bachelor's or Master's degree in IT, Engineering, Mathematics, Economics, Business, or a related field.
• At least 3 years of experience in data solution delivery and data modeling.
• Strong experience with SQL querying, large-scale data analysis, data flows and integration.
• Experience supporting incident management and production issue resolution.
• Excellent communication and stakeholder management skills.
• Ability to manage multiple priorities in an Agile environment.

Responsibilities

• Analyze complex datasets and design/validate data solutions.
• Ensure high-quality data is available to critical KYC applications.
• Bridge business needs with technology to enable informed decisions.
• Collaborate with international teams, market-leading vendors, and SMEs.
• Deliver innovative, scalable and compliant data solutions.

Skills

Analytical thinking

Problem solving

Communication

Stakeholder management

Agile environment

Education

Bachelor's/Master's degree in IT/Engineering/Mathematics/Economics/Business or related field

Tools

SQL

Data modeling

Data governance

Data integration

Metadata management

Job description

ING Hubs B.V. Philippine Branch is seeking a Data Modeling Analyst to advance data solutions that combat financial crime, support KYC workflows, and ensure data quality across ING's global operations.

You will analyze complex datasets and collaborate with international teams to build scalable, compliant data models. The role emphasizes bridging business and technology, working within an Agile environment, and contributing to the prevention of money laundering, sanctions breaches, and fraud