Service Lead, Risk Data Quality Assurance

Role Overview

• Ensuring that Risk domain data meets ING’s internal data quality policies, regulatory requirements, and the BCBS239 principles
• Leading the development and execution of the global Data Quality Assurance (DQA) framework across all risk types
• including Credit Risk, ESG, Financial Risk and Operational Risk
• ensuring consistency, transparency, and reliability of data used across the risk value chain
• Designing and operating DQA services end‑to‑end: from defining data quality expectations, to coordinating monitoring and issue remediation, to embedding DQ controls within operational processes and technology platforms
• Deliver Data Quality Excellence
• Own the Risk Data Quality Assurance service and ensure compliance with ING’s Data Management Framework, data quality policies, and BCBS239 requirements
• Implement and maintain the global DQ assessment, monitoring and reporting framework across all risk domains
• Ensure proper controls, validation, and traceability for critical risk datasets
• Drive BCBS239 Implementation
• Take crucial part of BCBS239 Data Quality requirements rollout for COO Risk and coordinate alignment with CRO-led activities
• Translate BCBS239 principles into operational service standards, DQ controls, and sustainable processes
• Ensure that systems, data flows, and processes across Risk domains meet regulatory expectations
• Build strong relationships with stakeholders across CRO, COO, business lines, and ING Hubs
• Set up and run governance forums on Data Quality, issues, and regulatory readiness
• Monitor performance through SLAs, KPIs, and adoption of standardized DQ tooling and dashboards
• Oversee DQ services for Credit Risk, ESG Risk, Market & Financial Risk, Operational & Non‑Financial Risk
• Ensure alignment of methodologies, assessment criteria, and DQ processes across all domains
• Identify and drive automation of DQ controls, DQ dashboards, and monitoring pipelines
• Collaborate with tech and data engineering teams to embed DQ rules in data products and platforms
• Standardize and scale DQ services globally through ING Hubs
• Act as a role model and service owner, fostering a culture of data discipline, transparency, and continuous improvement
• Support talent development, onboarding, and knowledge building in multiple locations

Requirements

• Master's degree (Data, Finance, Risk, Engineering, Computer Science, or related fields)
• 7+ years of experience in Risk, Data Management, Data Governance, or regulatory transformation within financial services
• Proven experience with Data Quality management, BCBS239 or regulatory data governance
• Understanding of multiple risk types (Credit, Market, Operational, ESG, Financial Risk)
• Experience leading global services, processes or teams within a matrix organization
• Strong analytical and conceptual skills, with ability to translate requirements into operational processes
• Strong understanding of data platforms, metadata, lineage, and DQ tooling
• Excellent command of English.
• Experience with SQL, Python, SAS or similar is a plus (not mandatory)

Tech Stack

• Python
• SQL