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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 focus on innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Make a significant impact by driving data initiatives in a dynamic and collaborative setting.
- Qualifications: Master's or Ph.D. in relevant fields with strong programming and data analysis skills.
- Other info: Be part of a diverse team that values inclusion and fosters career development.
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.
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 milestones.
- Prioritize 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.
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.
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
Network like a pro! Reach out to your connections in the finance and data sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to financial products. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of data management principles. Be ready to discuss how you've tackled data quality issues in the past and how you can contribute to the success of their data initiatives.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and making an impact in the world of data products.
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 reflects the skills and experiences that align with the Data Product Owner role. Highlight your expertise in data management, financial engineering, and any relevant programming skills to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data initiatives and how your background makes you a perfect fit for the team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Communication Skills: Since this role involves translating technical concepts for various stakeholders, make sure your application demonstrates your strong communication skills. Use clear and concise language to convey your ideas and experiences.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and allows us to review your details efficiently. Plus, it’s super easy to do!
How to prepare for a job interview at Fairygodboss
✨Know Your Data Inside Out
As a Data Product Owner, you need to be well-versed in data management principles. Brush up on your knowledge of data quality metrics and how they apply to financial products. Be ready to discuss specific examples of how you've ensured data integrity in past roles.
✨Showcase Your Collaboration Skills
This role requires working closely with various teams, so highlight your experience in cross-functional collaboration. Prepare anecdotes that demonstrate how you've successfully translated technical requirements into actionable tasks for non-technical stakeholders.
✨Prepare for Technical Questions
Expect questions about programming languages like Python and your experience with databases. Be prepared to discuss how you've used these skills in real-world scenarios, especially in relation to financial data analysis and product development.
✨Demonstrate Your Problem-Solving Abilities
The ability to resolve data quality issues is crucial. Think of specific challenges you've faced in previous roles and how you tackled them. This will show your potential employer that you're proactive and capable of driving improvements in data initiatives.
