At a Glance
- Tasks: Lead the creation of AI-ready credit risk data products and ensure quality governance.
- Company: Join a leading financial services firm with a focus on innovation and compliance.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Other info: Collaborative culture with opportunities to work on exciting AI projects.
- Why this job: Make a real impact in credit risk decisioning while working with cutting-edge technology.
- Qualifications: Experience in data products, governance, and strong communication skills 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.
Credit Risk Data Product Owner - Vice President in London employer: Jpmorgan Chase & Co.
Join a leading financial services firm that prioritises innovation and excellence in credit risk management. As a Vice President Data Product Owner, you will thrive in a collaborative work culture that values professional growth and offers extensive opportunities for career advancement. With a focus on building AI-ready data products, you will be part of a dynamic team dedicated to delivering high-quality solutions that meet regulatory standards, all while enjoying the benefits of a supportive environment in a prime location.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk Data Product Owner - Vice President in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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 practising common questions and scenarios related to credit risk data products. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your experience with data governance, compliance, and AI-ready datasets. This will help you stand out and demonstrate your skills effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Credit Risk Data Product Owner - Vice President in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Credit Risk Data Product Owner. Highlight your experience with data governance, compliance, and any relevant projects that showcase your ability to deliver data products in a regulated environment.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about credit risk and how your skills align with our needs. Be specific about your experience with structured credit instruments and how you can contribute to our team.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with SQL, Python, and any cloud data platforms you've worked with. We want to see how you can leverage these skills to drive the development of AI-ready datasets.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Products Inside Out
Before the interview, dive deep into the specifics of structured credit risk data products. Understand their lifecycle, governance, and compliance requirements. Being able to discuss these elements confidently will show your passion and expertise in the field.
✨Master the Art of Stakeholder Communication
Since this role involves collaboration with various teams, practice articulating complex data concepts in simple terms. Prepare examples of how you've successfully communicated between technical and business teams in the past. This will demonstrate your strong stakeholder management skills.
✨Showcase Your Technical Skills
Brush up on your SQL and Python skills, as well as your understanding of AI and machine learning concepts. Be ready to discuss how you've used these tools in previous roles, especially in relation to data validation and analysis. Practical examples will make your experience more relatable.
✨Prepare for Governance and Compliance Questions
Expect questions around data governance, lineage, and audit readiness. Think of specific instances where you implemented or improved data quality controls. Highlighting your experience in a regulated financial services environment will be key to impressing the interviewers.
