At a Glance
- Tasks: Lead the creation of AI-ready credit risk data products and ensure quality governance.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and drive innovation in financial services.
- Why this job: Make a real impact on credit risk decision-making in a dynamic environment.
- Qualifications: Experience in data products and strong understanding of data governance required.
The predicted salary is between 80000 - 100000 £ per year.
Are you passionate about building governed, AI‑ready data products that strengthen credit risk decisioning? Join the Credit Risk team in Corporates, Treasury and Chief Investment Office as a Data Product Owner. In this role, you will lead the definition, delivery, and adoption of structured credit risk data products. You will ensure rigorous governance, lineage, controls, and quality monitoring. Your work will enable portfolio surveillance, executive reporting, and scalable analytics and AI use cases.
As a Vice President Data Product Owner in the Credit Risk team within TCIO, you will own the strategy and execution for prioritized credit risk data products across structured credit, leveraged loans, and related investment assets. You will work closely with Credit Risk specialists to build your understanding of products and business needs, while defining scope, data contracts, metadata, and end‑to‑end lineage. You will implement data quality, controls, and governance to support audit and regulatory expectations. You will partner with Risk Management & Compliance stakeholders, data consumers, and Technology to deliver a structured roadmap and drive adoption of standardized data products.
Job Responsibilities
- Own the end‑to‑end lifecycle of structured credit risk data products, including vision, roadmap, prioritization, delivery, and adoption.
- Act as the business‑aligned data producer; define product scope, data contracts, semantic definitions, and documentation.
- Lead data governance and compliance across definitions, ownership, metadata, lineage, access controls, privacy, and audit readiness.
- Establish traceable, auditable end‑to‑end lineage to support executive reporting and regulatory exercises.
- Define and monitor critical data elements, data quality rules, thresholds, and alerting.
- Maintain SLAs for data timeliness, completeness, and accuracy.
- Drive triage and remediation of data issues, ensuring sustainable fixes through governance and engineering partnership.
- Translate risk and surveillance requirements into epics, user stories, and acceptance criteria; perform testing and validation.
- Partner with Technology to develop AI‑ready datasets for surveillance and analytics use cases.
- Define standards for AI and machine learning feature consumption with appropriate metadata and context.
- Collaborate with cross‑LOB stakeholders to align on requirements, governance ownership, and promote reuse of data products.
Required Qualifications, Capabilities, And Skills
- Significant experience delivering data products in a regulated financial services environment.
- Strong background in data governance and compliance including metadata, lineage, access controls, and audit readiness.
- Experience supporting risk reporting or regulatory deliverables with traceable data and control evidence.
- Working knowledge of structured credit instruments and related datasets.
- Understanding of AI and machine learning concepts to support analytics and feature consumption standards.
- Strong stakeholder management and communication skills with the ability to translate between business and technical teams.
Preferred Qualifications, Capabilities, And Skills
- Experience with cloud data platforms and lakehouse architectures, including Databricks.
- Knowledge of data modelling, orchestration, and observability concepts.
- Hands‑on experience with SQL and data analysis.
- Proficiency in Python for data validation and analysis.
- Experience implementing data contracts and data quality monitoring tools.
- Familiarity with catalog‑driven governance frameworks.
- Advanced degree in a quantitative or technical field such as Data Science, Engineering, Physics, or Finance.
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.
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment.
Credit Risk Data Product Owner - Vice President employer: JPMorganChase
J.P. Morgan is an exceptional employer, offering a dynamic work environment where innovation meets governance in the financial services sector. As a Vice President Data Product Owner, you will thrive in a culture that values diversity and inclusion, while benefiting from extensive professional development opportunities and a commitment to employee well-being. Located in a global financial hub, you will have access to cutting-edge resources and collaborate with top-tier professionals, making a meaningful impact on credit risk decisioning.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk Data Product Owner - Vice President
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their credit risk products and be ready to discuss how your experience aligns with their needs. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be clear about your skills and how they relate to the role of a Data Product Owner. Highlight your experience with data governance and compliance, and don’t forget to mention your understanding of AI and machine learning.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter. Let’s get you that dream job!
We think you need these skills to ace Credit Risk Data Product Owner - Vice President
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data governance and compliance. We want to see how your skills align with the role of a Data Product Owner in credit risk.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with SQL, Python, and any cloud data platforms. We’re looking for someone who can translate technical jargon into actionable insights, so let us know how you’ve done this in the past!
Highlight Stakeholder Management:Since this role involves collaborating with various teams, share examples of how you've successfully managed stakeholders. We love seeing how you can bridge the gap between business needs and technical solutions.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Products
Before the interview, dive deep into the specifics of structured credit risk data products. Understand their lifecycle, governance, and compliance requirements. This knowledge will help you speak confidently about how you can contribute to the team.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your ability to communicate effectively with both technical and business teams. Being able to translate complex data concepts into understandable terms is crucial for this role, so practice articulating your thoughts clearly.
✨Familiarise Yourself with AI and Machine Learning
Brush up on your understanding of AI and machine learning concepts, especially as they relate to data products. Be ready to discuss how these technologies can enhance credit risk decision-making and provide specific examples from your past experiences.
✨Prepare for Governance and Compliance Questions
Expect questions around data governance, lineage, and audit readiness. Prepare to discuss your experience in these areas and how you've implemented data quality rules and controls in previous roles. This will demonstrate your fit for the regulatory environment.
