Compliance Data Methodology
AI in this role
The expected salary for this position: 13 000 - 18 000 PLN
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.
Are you passionate about driving data transformation within a global Compliance organisation? As a Compliance Data Methodology Specialist, 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. Compliance Frameworks & Control is responsible for risk-agnostic Compliance activities and the management of Compliance functional processes globally. The department 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 (Gen)AI 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.
Your day to day
In this role, you will lead the execution and delivery of Compliance data initiatives while partnering with stakeholders across Compliance, Data and Technology functions globally.
Your 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.
We are looking for you if you have:
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 related 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
How we score this
Compliance Data Methodology at ING scores 29 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
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- AI Level 240 to 59
- AI Level 10 to 39
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