Compliance Data Methodology

Details

The expected salary for this position is 13,000–18,000 PLN per month. The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

The Mission

At ING, we value and support our employees before recruiting external talent. If you think this vacancy is the right next step in your ING career, we encourage you to apply. If you have questions about the vacancy or would like to hear more before applying, please reach out to the responsible recruiter.

As a Compliance Data Methodology Specialist, you will drive data transformation within a global Compliance organisation. You will lead the delivery of strategic data initiatives that enable Compliance to become increasingly data driven. You will act as the central point of contact for Compliance data needs and help unlock the value of data, AI and GenAI to strengthen compliance risk management across ING.

The Compliance Data Methodology team is part of the Compliance Frameworks & Control department within Group Compliance. The department is responsible for risk-agnostic Compliance activities and the management of Compliance functional processes globally. It leads Compliance Data Methodology, Compliance Ongoing Assurance & Insights, and Compliance Deep Dives & Diagnostics, supporting a controlled, efficient and effective global Compliance function.

Within the Compliance Data Methodology team, you will contribute to identifying and delivering data, tooling and GenAI initiatives for the global Compliance function. The team oversees data management, data quality, risk assessments, legal frameworks and technical infrastructure from a Compliance perspective, while also managing forecasting and oversight of strategic data initiatives.

Responsibilities

• Own and manage a complex Compliance data delivery roadmap and support priority setting.
• Act as the central point of contact for Compliance data requirements and initiatives.
• Discuss and validate data architecture, data exchange agreements and legal documentation required for data ingestion.
• Present, influence and negotiate Compliance priorities during quarterly planning and governance cycles.
• Identify strategic opportunities to leverage data in support of Compliance risk management processes.
• Partner with analytics teams and AI leadership to identify AI and GenAI opportunities for the Compliance function.
• Develop and maintain dashboards and analytical solutions that provide actionable business and regulatory insights.
• Lead and contribute to strategic projects from a data, analytics and governance perspective.
• Identify challenges, propose solutions and communicate recommendations to senior stakeholders and decision makers.
• Drive improvements in data literacy, data capabilities, digitalisation initiatives and future technologies across the global Compliance organisation.
• Organise and contribute to data awareness campaigns and roadshows for a global Compliance audience.

Requirements

• At least 5 years of experience in data, analytics or data transformation roles, with a track record of leading complex data change initiatives.
• Strong hands-on experience with AI, machine learning and rapid prototyping to turn innovative ideas into practical solutions.
• Proficiency in Python and analytical libraries such as Pandas, NumPy, Scikit-learn, TensorFlow and Dash.
• Experience developing dashboards and visualisation solutions using Power BI, Cognos or similar platforms.
• Understanding of data architecture, data governance and data ingestion processes, with the ability to translate technical concepts into business value.
• Experience working in Compliance or a strong understanding of Compliance-related processes and challenges.
• Highly effective stakeholder management and the ability to influence across functions, countries and organisational levels.
• A combination of strategic thinking and hands-on execution, with the ability to navigate complex environments independently.
• Strong analytical judgement, learning agility and an innovative mindset.
• Fluent English and the ability to build trusted relationships through collaboration, accountability and constructive feedback.