Head of Data Quality Testing in London

Head of Data Quality Testing in London

London Full-Time No working from home possible
Deutsche Bank

At a Glance

  • Tasks: Lead the Data Quality Testing Framework and collaborate across teams to enhance data quality.
  • Company: Join Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
  • Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
  • Other info: Opportunities for training, development, and a supportive work culture.
  • Why this job: Make a real impact on data governance in a dynamic financial environment.
  • Qualifications: Experience in data management, regulatory frameworks, and strong stakeholder management skills.

The Chief Data Office (CDO) aims to provide strong data governance and high data quality across the bank. One of the key pillars of CDO is the Data Quality Management team which defines frameworks and manages processes to improve data quality across the bank’s key capabilities.

You will join the CDO Data Quality Management team and will be reporting directly to the Head of Data Quality Management. You will be responsible for defining and implementing the Data Quality Testing Framework, collaborating across business aligned data offices, process owners and technology. You will support the bank’s regulatory commitments related to Data Management and will build out the operating model for data quality testing. You will establish effective governance, management reporting and KPIs to business and infrastructure divisions to measure continuous improvement in the bank’s data quality.

What we’ll offer you:

  • Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
  • Competitive salary and non-contributory pension.
  • 30 days’ holiday plus bank holidays, with the option to purchase additional days.
  • Life Assurance and Private Healthcare for you and your family.
  • A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
  • The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.

Your key responsibilities:

  • Establishes Data Quality Testing Framework, including roles and responsibilities, prioritisation criteria, approach for rules execution, exception management, KPIs, and senior level governance and reporting with oversight over dependencies across the organisation.
  • Directly responsible for interfacing with the regulators and supporting any regulatory or internal audit on topics related to Data Quality Testing being implemented as part of our Data Strategy.
  • Works across DDOs and other stakeholders to align and resolve accountability conflicts arising as part of DQ testing set up and implementation.
  • Review Tooling requirements and support implementation of right capabilities and processes for scalable, efficient and automated data quality testing operating model.
  • Provide subject matter expertise to guide divisional adoption of testing standards and to ensure consistent application across the bank.
  • Provide guidance, coaching, and training to teams and stakeholders on data quality testing approach, testing methodologies and process.

Your skills and experience:

  • Deep understanding of front-to-back data supply chain at large and complex financial institutions including regulatory frameworks (e.g., BCBS 239, GDPR) to ensure compliance.
  • Extensive experience in designing and managing control processes, identifying opportunities to automate manual processes, and partnering with IT to implement technology-driven solutions.
  • Good knowledge of data management standards, with familiarity in data governance frameworks and leading industry practices (e.g., DAMA, DCAM).
  • Experience with design and implementation of risk-based frameworks, Data Quality KPIs, and compensating controls.
  • Proven experience in building and leading high-performing teams as well as ability to work in a matrix environment on project deliverables with complex dependencies on other teams.
  • Strong stakeholder management skills, including up to Management Board; experience interfacing with U.S, Europe and/or other global regulators.
  • Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you:

  • Training and development to help you excel in your career.
  • Flexible working to assist you balance your personal priorities.
  • We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required.

About us: Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.

If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge to discuss.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Head of Data Quality Testing in London employer: Deutsche Bank

Deutsche Bank is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, the company provides extensive training opportunities and a hybrid working model that promotes work-life balance, alongside competitive salaries and flexible benefits such as a non-contributory pension and generous holiday leave.

Deutsche Bank

Contact Details:

Deutsche Bank Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Quality Testing 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 Deutsche Bank!

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 Head of Data Quality Testing at Deutsche Bank.

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 Deutsche Bank.

Apply Directly through Our Website

When you find a suitable opening like Head of Data Quality Testing at Deutsche Bank, 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!

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 Deutsche Bank, 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 Deutsche Bank. 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 Deutsche Bank

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 Deutsche Bank!

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.