VP, Credit Risk Data Product — AI‑Ready Analytics

VP, Credit Risk Data Product — AI‑Ready Analytics

Full-Time 80000 - 120000 £ / year (est.) No working from home possible
JPMorganChase

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, comprehensive benefits, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with a focus on compliance and innovation.
  • Why this job: Drive AI-ready data solutions and make a significant impact in finance.
  • Qualifications: Strong background in data governance, SQL, Python, and analytical skills.

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 employer: JPMorganChase

JPMorganChase is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to diversity and inclusion, making it an ideal place for those looking to make a meaningful impact in the financial services industry.

JPMorganChase

Contact Details:

JPMorganChase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land VP, Credit Risk Data Product — AI‑Ready Analytics

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! If you’ve got a portfolio or examples of your work, bring them along to interviews. It’s a great way to demonstrate your expertise in SQL and Python.

Tip Number 3

Prepare for the tough questions! Brush up on your knowledge of data governance and compliance. We want to see how you handle real-world scenarios in a regulated environment.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace VP, Credit Risk Data Product — AI‑Ready Analytics

Data Governance
Stakeholder Management
Analytical Skills
SQL
Python
Product Lifecycle Management
Governance and Compliance

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, especially in data governance and analytics.

Tailor Your Application:Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to credit risk data products and compliance.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and fit for the role.

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’re considered for the role. Plus, it shows you’re keen on joining 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 would approach a specific data challenge. Practising coding problems beforehand can really help you shine.

Engage with Stakeholders

Stakeholder management is key for this role. Think of examples where you've successfully collaborated with different teams or clients. Highlight your communication skills and how you’ve navigated differing opinions to achieve a common goal.

Innovate with AI Solutions

This position is all about driving innovative AI-ready data solutions. Come prepared with ideas on how you could leverage AI in credit risk data products. Showing that you’re forward-thinking and have a vision for the future will set you apart from other candidates.