Hybrid Data Governance & Protection Leader in London

Hybrid Data Governance & Protection Leader in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
ING Bank Personeel

At a Glance

  • Tasks: Lead data governance initiatives and translate policies into actionable strategies.
  • Company: Join ING Bank UK, a leader in financial services with a focus on innovation.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving data as a strategic asset.
  • Why this job: Make a real difference by ensuring responsible data use and protection.
  • Qualifications: Experience in data governance and strong collaboration skills are essential.

The predicted salary is between 63000 - 77000 £ per year.

ING Bank UK is seeking a Data Governance & Protection Expert to translate policy and regulatory requirements into practical ways of working.

You will strengthen data ownership, improve data risk management, and help ING use and protect data responsibly.

Join the UK COO Data Management team in London, collaborating with Technology, Legal, Compliance and Risk to govern data as a strategic asset and support governance forums and senior leaders.

Hybrid Data Governance & Protection Leader in London employer: ING Bank Personeel

ING Bank Personeel is an attractive employer due to its focus on data governance and protection, providing employees with opportunities to work on impactful projects. The collaborative work culture encourages professional growth and development, making it a desirable workplace for those interested in the banking sector.

ING Bank Personeel

Contact Details:

ING Bank Personeel Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Data Governance & Protection Leader in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ING Bank Personeel!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hybrid Data Governance & Protection Leader at ING Bank Personeel.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ING Bank Personeel.

✨Apply Directly through Our Website

When you find a suitable opening like Hybrid Data Governance & Protection Leader at ING Bank Personeel, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid Data Governance & Protection Leader in London

Data Governance
Data Protection
Regulatory Compliance
Data Risk Management
Collaboration
Stakeholder Engagement
Policy Translation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at ING Bank Personeel, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ING Bank Personeel. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at ING Bank Personeel

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ING Bank Personeel!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.