At a Glance
- Tasks: Lead data quality initiatives and ensure seamless integration of data products.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Make a significant impact in the financial sector while working with cutting-edge data technologies.
- Qualifications: Master's or Ph.D. in a relevant field with 10+ years of experience in data management.
- Other info: Be part of a diverse team that values inclusion and supports your career aspirations.
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 Collaborate closely with Quant Research and Technology on Financial Data Products design and strategy, delivering business value with Data to Credit Trading business.Act as the business\’s official Data Producer for delivering domain-specific Data Products.Define data attribute requirements and map data lineage for each Data Product.Perform testing and validation of technical implementations and sign-off.Register metadata in the catalog and ensure its evergreen status.Define critical data elements, data quality metrics, and alerting thresholds.Maintain SLAs for data quality and timeliness to meet consumer needs.Provide consumer training and promote the reuse of Data Products.Translate consumer requirements into actionable development tasks.Manage releases and track development timelines and milestonesPrioritize feature requests and drive resolution of data quality issues.Required Qualifications, Capabilities, and Skills Master\’s or Ph.D. degree in Math, Physics, Computer Science, Engineering, Data Engineering, or related field.Strong track record and hands-on experience with financial engineering and data analysis in Bonds, Loans and other Credit products.Extensive relevant experience with exposure to Markets data or financial services.Solid programming skills in Python, data querying languages and experience with relational and NoSQL databases.Experience analyzing complex data sets on prem and in cloud services like AWS, Azure, or GCP.Strong communication skills and attention to detail.Ability to translate technical concepts for Sales & Trading colleagues.Ability to work collaboratively across multiple teams within the firm.Preferred Qualifications, Capabilities, and Skills Understanding of financial market data and experience with financial data platforms.Experience as an end-user of data feeds to contribute to Data Product design.Prior experience as a Data Product Owner.About us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world\’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants\’ and employees\’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the Team J.P. Morgan\’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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Quantitative Research - Data Product Owner - Credit - Executive Director employer: Fairygodboss
Contact Detail:
Fairygodboss 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 financial data products and quantitative research. Understanding the current landscape will help you speak confidently about how your skills align with the needs of the role.
✨Tip Number 2
Network with professionals in the financial services industry, especially those who work at JPMorgan Chase. Engaging with current employees can provide insights into the company culture and expectations for the Data Product Owner role.
✨Tip Number 3
Prepare to discuss specific examples from your past experience that demonstrate your ability to manage data quality and collaborate across teams. Highlighting your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Stay updated on the tools and technologies relevant to the role, such as Python, AWS, and data querying languages. Being able to discuss your proficiency with these tools will show your readiness to hit the ground running.
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: Write a cover letter that showcases your passion for data products and your understanding of the financial services industry. Mention specific experiences that align with the responsibilities of the Data Product Owner role.
Highlight Collaborative Experience: Emphasise any past experiences where you worked closely with cross-functional teams, especially in technology and quantitative research. This will show your ability to collaborate effectively, which is crucial for this role.
Showcase Problem-Solving Skills: Provide examples in your application of how you've successfully resolved data quality issues or improved data processes in previous roles. This will demonstrate your capability to handle the challenges outlined in the job description.
How to prepare for a job interview at Fairygodboss
✨Understand the Role
Make sure you have a solid grasp of what a Data Product Owner does, especially in the context of financial data products. Familiarise yourself with the specific responsibilities mentioned in the job description, such as overseeing data quality and collaborating with Quant Research and Technology.
✨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 your familiarity with cloud services like AWS or Azure.
✨Demonstrate Communication Skills
Since the role requires translating technical concepts for non-technical colleagues, practice explaining complex ideas in simple terms. Think of examples from your past experiences where you successfully communicated technical information to diverse audiences.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle data quality issues. Prepare scenarios from your previous work where you had to manage data products, define requirements, or resolve conflicts between teams.