Data Modeling Analyst

About the role

ING is looking for a Data Modeling Analyst to join its Data & Analytics team and help build global solutions that combat financial crime. The role works on initiatives covering Anti-Money Laundering (AML), Counter Terrorism Financing (CTF), sanctions, fraud prevention and Know Your Customer (KYC) processes, supporting global implementation across more than 20 countries and contributing to the protection of over 36 million customers.

You will analyze complex datasets, design and validate data solutions and ensure high-quality data is available to critical KYC applications, bridging the gap between business and technology while complying with regulatory and data governance standards. The team works in an international and Agile environment.

Required profile

• 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.
• Experience supporting incident management and production issue resolution.
• Experience in AML, Compliance, Financial Economic Crime or regulatory change initiatives is advantageous.

Required skills

• Strong SQL querying and large-scale data analysis.
• Data flows and integration, metadata analysis and modeling.
• Data quality and governance, source-to-target mappings, low-level data architecture and data models.
• Strong analytical and problem-solving abilities, and stakeholder management in a fast-changing Agile environment.

What we offer

• Work on challenging, high-impact problems with real-world social relevance.
• Collaboration with international teams across more than 20 countries.
• Expertise in financial crime prevention, data analytics and global banking operations.
• A diverse, supportive and innovation-driven environment.

Applications are submitted through the official ING careers site using Workday.