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- Tasks: Lead the development of data products and ensure quality and accessibility.
- Company: Global financial services leader based in Greater London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for impact.
- Why this job: Make a significant impact in finance while collaborating with traders.
- Qualifications: Master's or Ph.D. in relevant field, Python programming, and cloud experience.
- Other info: Join a dynamic team with excellent career growth potential.
The predicted salary is between 60000 - 84000 £ per year.
A global financial services leader in Greater London is seeking an Executive Director as a Data Product Owner to drive the development and delivery of critical data products. You will ensure data quality and accessibility, managing timelines while collaborating with traders to promote data reuse.
The ideal candidate will have a Master's or Ph.D. in a relevant field and a strong background in financial engineering, programming skills in Python, and experience with cloud services like AWS or Azure. Join us and make a significant impact in a dynamic environment.
Data Product Owner: Quant Research for Credit Analytics employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner: Quant Research for Credit Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since you're aiming for a Data Product Owner role, be ready to discuss your experience with Python and cloud services like AWS or Azure. We want you to shine!
✨Tip Number 3
Showcase your projects! If you've worked on any data products or analytics projects, make sure to highlight them in your conversations. This will demonstrate your hands-on experience and passion for the field.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Data Product Owner: Quant Research for Credit Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in financial engineering and any relevant programming skills, especially in Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Data Product Owner role. Share specific examples of how you've driven data product development and ensured data quality in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud services like AWS or Azure. We’re keen on candidates who can demonstrate their technical prowess, so include any projects or achievements that highlight these skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Inside Out
As a Data Product Owner, you'll need to demonstrate a deep understanding of data quality and accessibility. Brush up on your knowledge of data management principles and be ready to discuss how you've ensured data integrity in past projects.
✨Showcase Your Technical Skills
Make sure you can talk confidently about your programming skills in Python and any experience with cloud services like AWS or Azure. Prepare examples of how you've used these technologies to solve real-world problems in financial engineering.
✨Collaborate Like a Pro
Since the role involves working closely with traders, be prepared to discuss your collaboration experiences. Think of specific instances where you successfully promoted data reuse and how you managed timelines while keeping everyone on the same page.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions that show your interest in the company's data products and their impact on credit analytics. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
