Data Governance & Protection Lead - Hybrid/Remote in London

Data Governance & Protection Lead - Hybrid/Remote in London

London Full-Time 60750 - 74250 £ / year (est.) Hybrid
ING Hubs B.V. Turkiye

At a Glance

  • Tasks: Lead data governance initiatives and ensure responsible data usage across ING UK.
  • Company: Join ING UK, a forward-thinking financial institution focused on data excellence.
  • Benefits: Enjoy hybrid/remote work flexibility, competitive salary, and career development opportunities.
  • Other info: Collaborative team culture with opportunities for continuous improvement and growth.
  • Why this job: Make a real impact by enhancing data protection and governance in a dynamic environment.
  • Qualifications: Experience in data governance and strong communication skills are essential.

The predicted salary is between 60750 - 74250 £ per year.

ING 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 controls and help ING use data responsibly.

This hands-on role sits in the UK COO Data Management team in London.

You will coordinate governance activities, build trusted relationships across ING functions, and drive continuous improvement of data governance and protection frameworks across ING UK.

Data Governance & Protection Lead - Hybrid/Remote in London employer: ING Hubs B.V. Turkiye

ING Hubs B.V. Turkiye is an attractive employer due to its collaborative work culture and opportunities for early responsibility in trading roles. Employees benefit from access to global financial markets and the chance to shape desk strategies and growth.

ING Hubs B.V. Turkiye

Contact Details:

ING Hubs B.V. Turkiye Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Governance & Protection Lead - Hybrid/Remote 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 Hubs B.V. Turkiye!

✨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 Data Governance & Protection Lead - Hybrid/Remote at ING Hubs B.V. Turkiye.

✨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 Hubs B.V. Turkiye.

✨Apply Directly through Our Website

When you find a suitable opening like Data Governance & Protection Lead - Hybrid/Remote at ING Hubs B.V. Turkiye, 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 Data Governance & Protection Lead - Hybrid/Remote in London

Data Governance
Data Protection
Regulatory Compliance
Risk Management
Stakeholder Engagement
Continuous Improvement
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 Hubs B.V. Turkiye, 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 Hubs B.V. Turkiye. 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 Hubs B.V. Turkiye

✨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 Hubs B.V. Turkiye!

✨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.