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- Tasks: Transform data quality management and collaborate with stakeholders across the bank.
- Company: Join J.P. Morgan Chase, a leader in financial services.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Why this job: Make a real impact on data quality in a high-profile team.
- Qualifications: Experience in data analytics and strong analytical skills required.
- Other info: Opportunity to work autonomously and manage multiple projects.
The predicted salary is between 36000 - 60000 £ per year.
Are you experienced within financial services and have strong analytical skills? Then you found the right position for you! As a Data Management Associate, within the Chief Data Office (CDO), you will be focused on delivering business impact through transformation of Data Quality management.
You will be required to work with stakeholders across the Commercial and Investment Bank (CIB), other Line Of Businesses (LOBs) and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units. This is an outstanding opportunity for you to join a high-profile team at JPMorgan Chase and take a partnership role, supporting one of the Bank’s most significant change programs.
Job responsibilities
- Implements and supports Data Quality (DQ) practices across the CIB, in support of the Firm’s broader efforts around BCBS 239.
- Discovers and documents data lineage to trace the end-to-end data journey from point of creation to consumption to support regulatory requirements, e.g. BCBS 239.
- Partners with operations, technology and product control organizations to document data quality controls across the data lineage for critical data flows.
- Builds strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts.
- Provides data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis.
- Accelerates data quality issue level root cause analysis and resolution through effective program governance, process/data mapping and data deep-dives.
- Queries data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues.
- Discusses and agrees technical resolutions with technology teams to remediate DQ issues.
- Leverages productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large datasets to draw inferences.
Required qualifications, capabilities, and skills
- Experience in financial services with data analytics, data management, project management or business analysis background.
- Strong understanding of data governance, data quality, data lineage and metadata management concepts.
- Experience in working on projects and programs focused on data quality, data lineage, data control documentation and metadata management.
- Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture.
- Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.).
- Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams.
- Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard.
- Basic understanding of the company's business practices and familiarity with the company's products and services.
Preferred qualifications, capabilities, and skills
- Experience in a CDO or Data Quality organization within an investment bank or large financial services firm.
- Experience in querying database/data stores for data analysis.
- Experience in producing PowerPoint presentations for senior audiences.
Data Management Associate - Bournemouth/London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Associate - Bournemouth/London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Knowing what they value can help you tailor your answers and show you're a perfect fit.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to follow up after interviews! A quick thank-you email can leave a lasting impression and keep you top of mind for the hiring team.
We think you need these skills to ace Data Management Associate - Bournemouth/London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Management Associate role. Highlight your experience in financial services and any relevant data management skills. We want to see how your background aligns with what we're looking for!
Show Off Your Analytical Skills: Since this role requires strong analytical skills, don’t shy away from showcasing specific examples where you've used these skills effectively. We love seeing how you’ve tackled complex problems in the past!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the heart of your qualifications.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to track your application status directly. Let’s get your journey started with us!
How to prepare for a job interview at J.P. Morgan
✨Know Your Data Inside Out
Make sure you brush up on your understanding of data governance, data quality, and data lineage concepts. Be ready to discuss how these elements play a role in financial services, as this will show your analytical skills and industry knowledge.
✨Showcase Your Analytical Skills
Prepare to demonstrate your proficiency in manipulating large datasets, especially using Excel. Think of examples where you've used pivots, formulas, or charts to solve problems or draw insights, as this will highlight your problem-solving abilities.
✨Communicate Effectively
Practice articulating your thoughts clearly and concisely. Since you'll be dealing with stakeholders at various levels, being able to present complex data in an understandable way is crucial. Consider preparing a short presentation to showcase your communication skills.
✨Be a Self-Starter
During the interview, emphasise your ability to work autonomously and manage your time effectively. Share examples of how you've successfully handled multiple tasks under pressure, as this will demonstrate your capability to thrive in a fast-paced environment.
