At a Glance
- Tasks: Lead credit risk data products and manage the entire product lifecycle.
- Company: Join JPMorganChase, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, career advancement, and the chance to work with cutting-edge AI solutions.
- Other info: Exciting opportunity for growth in a prestigious global company.
- Why this job: Drive impactful AI-ready data solutions in a dynamic and regulated environment.
- Qualifications: Strong background in data governance, SQL, Python, and analytical skills required.
The predicted salary is between 80000 - 120000 € per year.
JPMorganChase is seeking a Vice President Data Product Owner to lead credit risk data products in London. The role involves managing the entire product lifecycle and ensuring governance and compliance in a regulated environment.
The ideal candidate will have a strong background in data governance, stakeholder management, and analytical skills. Proficiency in SQL and Python is required, along with an advanced degree in a relevant field.
This position offers an opportunity to drive innovative AI-ready data solutions for portfolio surveillance and regulatory reporting.
VP, Credit Risk Data Product — AI‐Ready Analytics in London employer: JPMorganChase
JPMorganChase is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London, offering employees the chance to lead cutting-edge credit risk data products. With a strong emphasis on professional development, employees benefit from extensive growth opportunities and access to innovative AI technologies, making it a rewarding environment for those looking to make a significant impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land VP, Credit Risk Data Product — AI‐Ready Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that VP role.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. We want you to feel confident discussing your technical expertise and how it relates to credit risk data products. Practice makes perfect!
✨Tip Number 3
Showcase your analytical skills by bringing real-world examples to the table. We love hearing about how you've tackled challenges in data governance or stakeholder management. Make it relatable and impactful!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for innovative minds ready to drive AI-ready data solutions.
We think you need these skills to ace VP, Credit Risk Data Product — AI‐Ready Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the VP, Credit Risk Data Product role. Highlight your background in data governance and stakeholder management, as these are key for us.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in SQL and Python! We want to see how you’ve used these tools in your previous roles, so give us some concrete examples.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about driving AI-ready data solutions and how your experience makes you the perfect fit for our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data governance and analytics. Be prepared to discuss how you've managed data products in the past, especially in regulated environments. This will show that you understand the complexities involved in credit risk data.
✨Showcase Your Technical Skills
Since proficiency in SQL and Python is a must, be ready to demonstrate your skills. You might be asked to solve a problem or explain how you've used these tools in previous roles. Practising coding challenges or data manipulation tasks can give you an edge.
✨Engage with Stakeholders
Stakeholder management is key for this role. Prepare examples of how you've successfully collaborated with different teams or clients. Highlight your communication skills and how you’ve navigated differing priorities to achieve a common goal.
✨Think AI-Ready Solutions
As the role involves driving innovative AI-ready data solutions, come prepared with ideas or examples of how you've implemented AI or machine learning in your previous projects. This shows your forward-thinking approach and aligns with the company's vision.
