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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 72000 - 108000 £ 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector on LinkedIn. A friendly message can open doors and lead to referrals that might just land you that Data Product Owner role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python and cloud services like AWS or Azure. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Product Owner: Quant Research for Credit Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Product Owner role. 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 passionate about data products and how your expertise can drive our mission forward. Don't forget to mention your experience with cloud services like AWS or Azure.
Showcase Your Collaboration Skills: Since this role involves working closely with traders, make sure to highlight any past experiences where you've successfully collaborated with teams. We love seeing examples of how you’ve promoted data reuse and ensured data quality in your previous roles.
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 us you’re keen on joining our team!
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 promoted data reuse and how that benefited your team or project.
✨Master the Art of Time Management
Managing timelines is crucial for this position. Be ready to share strategies you've used to keep projects on track, especially in fast-paced environments. Highlight any tools or methodologies you prefer for effective project management.
