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- Tasks: Build and maintain data models for complex financial relationships in a global investment bank.
- Company: Join a leading global investment bank focused on data modernization.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a significant impact on data governance and collaborate with top industry professionals.
- Qualifications: Expertise in Data Vault 2.0 and strong understanding of investment banking data.
- Other info: Be part of a critical data transformation effort with excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A global investment bank is looking for a highly skilled Senior Data Modeler to join a critical data modernization effort. This role demands expertise in Data Vault 2.0 and a deep understanding of Investment Banking data requirements.
The successful candidate will be responsible for building and maintaining data models that support complex financial relationships and will have a significant impact on the bank's data governance.
Collaboration with data engineers and business analysts will be essential in ensuring model precision and effectiveness.
Senior Data Modeler: Cloud Data Vault 2.0 Architect in London employer: Empresaria Group plc
Contact Detail:
Empresaria Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeler: Cloud Data Vault 2.0 Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment banking sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Data Modeler role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous data modelling projects, especially those involving Data Vault 2.0. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge and be ready to discuss how you've tackled complex financial relationships in the past. Use real-world examples to demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Don’t miss out on the chance to join a dynamic team focused on data modernization in investment banking.
We think you need these skills to ace Senior Data Modeler: Cloud Data Vault 2.0 Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Data Vault 2.0 and investment banking data requirements. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data modelling and how your expertise can contribute to our data modernization efforts. Keep it engaging and personal!
Showcase Collaboration Skills: Since this role involves working closely with data engineers and business analysts, highlight any past experiences where you’ve successfully collaborated on complex projects. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply directly 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!
How to prepare for a job interview at Empresaria Group plc
✨Know Your Data Vault 2.0 Inside Out
Make sure you brush up on your Data Vault 2.0 knowledge before the interview. Be ready to discuss its principles, methodologies, and how you've applied them in past projects. This will show that you’re not just familiar with the theory but can also implement it effectively.
✨Understand Investment Banking Data Requirements
Dive deep into the specific data requirements of investment banking. Familiarise yourself with common financial instruments, regulatory requirements, and how data governance plays a role in this sector. This knowledge will help you demonstrate your relevance to the role and your ability to contribute from day one.
✨Showcase Collaboration Skills
Since collaboration with data engineers and business analysts is key, prepare examples of how you've successfully worked in teams. Highlight any cross-functional projects where you’ve had to communicate complex data concepts to non-technical stakeholders. This will illustrate your ability to work well with others.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions about their data modernization efforts. Ask about the challenges they face with their current data models or how they envision the future of their data governance. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
