Quantitative Research Data Product Owner Credit Executive Director

J.P. Morgan; Greater London; On-site; GBP 100,000 - 150,000; Full time

Job summary

A leading global financial services firm is seeking an Executive Director Data Product Owner in Greater London. This role involves defining and managing data products to ensure they meet consumer needs while maintaining high quality standards. The ideal candidate will have a Master’s or Ph.D. and extensive experience in financial engineering and data analysis, along with strong programming skills in Python. Join us to drive impactful data initiatives in a dynamic environment.

Qualifications

• Proven track record in financial engineering and data analysis, particularly with Bonds and Loans.
• Extensive experience in Markets data or financial services.
• Strong programming and data analysis skills with Python.

Responsibilities

• Collaborate with Quant Research on Financial Data Products design and strategy.
• Define data attribute requirements and map data lineage for Data Products.
• Maintain SLAs for data quality and timeliness.

Skills

Financial engineering

Data analysis

Programming in Python

Data querying languages

Attention to detail

Strong communication

Education

Master’s or Ph.D. in relevant field

Tools

AWS

Azure

GCP

Job description

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 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.