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For Companies At a Glance
- Tasks: Define and enhance data products while ensuring quality and accessibility.
- Company: Leading financial services firm in London with a focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge data solutions.
- Why this job: Make a significant impact in the financial sector through innovative data architecture.
- Qualifications: Degree in Computer Science or Engineering, strong Python skills, and data architecture knowledge.
- Other info: Collaborative environment with opportunities to drive change in data quality.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services firm in London is seeking a Lead Data Architect to define and enhance data products. You will work closely with Sales, driving data quality and accessibility while leveraging your strong background in data engineering and quality assurance.
The ideal candidate will have:
- a degree in Computer Science or Engineering
- excellent Python skills
- a deep understanding of data architecture, particularly in the Financial Services sector
Join us in making a significant impact through innovative data solutions.
Lead Data Architect: Markets Data Products & Quality employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Architect: Markets Data Products & Quality
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those related to data quality and accessibility. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in data engineering. Be ready to discuss how you've tackled data challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to find your application and get back to you quickly.
We think you need these skills to ace Lead Data Architect: Markets Data Products & Quality
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any relevant experience in data architecture. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Lead Data Architect position. Mention your experience in financial services and how you can enhance data products.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data architecture, especially in the Financial Services sector. Be prepared to discuss specific projects where you've enhanced data products or improved data quality. This will show your potential employer that you have the expertise they’re looking for.
✨Showcase Your Python Skills
Since excellent Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be familiar with libraries like Pandas and NumPy.
✨Understand the Business Context
Research the company and its market position. Understand how their data products impact sales and customer experience. This knowledge will help you articulate how you can drive data quality and accessibility, making you a more attractive candidate.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data challenges and future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
