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- Tasks: Lead the development of data products and ensure high standards of quality and accessibility.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity and inclusion.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and collaboration.
- Why this job: Make a significant impact by driving data initiatives that meet consumer needs in finance.
- Qualifications: Master's or Ph.D. in a relevant field with 10+ years of experience in financial data analysis.
- Other info: Be part of a diverse team that values your unique talents and perspectives.
The predicted salary is between 72000 - 108000 £ per year.
Are you passionate about data management and eager to drive the success of data initiatives? Join us as a Data Product Owner to lead the development and delivery of data products that meet the needs of both internal and external consumers. Ensure high standards of data quality and accessibility while working in a dynamic environment.
Job Summary:
As an Executive Director Data Product Owner for the Quantitative Research Credit team, you will be responsible for defining data products and their attributes, registering metadata, and ensuring rigorous testing and validation. You will collaborate with traders and data consumers to establish data quality metrics and automate monitoring. You will act as a bridge between technical teams and end users, translating requirements into actionable tasks and managing development timelines. Your role will prioritize feature requests, resolve data quality issues, and promote the reuse of data products.
You will maintain SLAs for data products, provide user training, and ensure seamless integration between technology and end users. Your expertise will drive the success of our data initiatives, ensuring that data products meet consumer needs and maintain high quality standards. If you have a proven track record in data management, we invite you to join our team and make a significant impact.
Job Responsibilities:
Required Qualifications, Capabilities, and Skills:
Preferred Qualifications, Capabilities, and Skills:
Quantitative Research - Data Product Owner - Credit - Executive Director employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research - Data Product Owner - Credit - Executive Director
✨Tip Number 1
Familiarise yourself with the latest trends in data management and financial engineering. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work with data products. Attend industry events or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and data querying languages. Being able to demonstrate your technical proficiency can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've successfully managed data quality and collaborated with cross-functional teams in the past. Real-world examples will showcase your experience and problem-solving abilities.
We think you need these skills to ace Quantitative Research - Data Product Owner - Credit - Executive Director
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, financial engineering, and programming skills. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data initiatives and how your background aligns with the role of Data Product Owner. Mention specific examples of past projects where you successfully managed data products or collaborated with technical teams.
Showcase Your Technical Skills: Clearly outline your programming skills, particularly in Python and data querying languages. Provide examples of how you've used these skills in previous roles, especially in relation to financial data analysis.
Highlight Collaboration Experience: Emphasise your ability to work collaboratively across teams. Share instances where you acted as a bridge between technical teams and end users, translating complex requirements into actionable tasks.
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Understand the Role Thoroughly
Before the interview, make sure you have a deep understanding of the responsibilities and expectations of a Data Product Owner. Familiarise yourself with data management concepts, financial products, and how they relate to the role.
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills, particularly in Python and data querying languages. Highlight any experience you have with relational and NoSQL databases, as well as cloud services like AWS or Azure.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you would handle specific situations related to data quality issues or feature prioritisation. Use examples from your past experiences to illustrate your approach.
✨Communicate Effectively
Since the role requires translating technical concepts for non-technical stakeholders, practice explaining complex ideas in simple terms. Good communication skills are crucial, so be ready to demonstrate this during the interview.
