Skip to content

ING

Compliance Data Methodology

ING is hiring a Compliance Data Methodology. Level rates it ; you can apply on ING.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions TensorFlow, scikit-learn and data management among its tools and skills.
  • Level classes it as a senior role.
  • ING has 658 other open roles on Level.

AI in this role

Lead strategic compliance data initiatives and tooling implementations to unlock the value of data and GenAI.

TensorFlowscikit-learn
data-managementdata-qualityrisk-assessmentstakeholder-managementdata-architecture

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 rate this

Compliance Data Methodology at ING rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ManagementData QualityRisk AssessmentStakeholder ManagementData ArchitectureTensorFlowscikit-learn

Questions you could be asked

  1. Tell me about a project where data management was part of your work. What did you do?
  2. Tell me about a project where data quality was part of your work. What did you do?
  3. Tell me about a project where risk assessment was part of your work. What did you do?
  4. Tell me about a project where stakeholder management was part of your work. What did you do?
  5. Tell me about a project where data architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Management, Data Quality, Risk Assessment, Stakeholder Management, and Data Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get new data jobs (Works on AI ●●●○ or higher) by email

One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free.

Similar roles

Data roles that work on AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at ING

Related searches

Same AI level