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- Tasks: Create and maintain data models for Private Markets datasets while collaborating with product teams.
- Company: Join a leading financial data firm known for its innovation and expertise.
- Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Shape the future of financial data and make a significant impact in the industry.
- Qualifications: Over four years of programming and data modelling experience required.
- Other info: Dynamic role based in Greater London with a focus on teamwork and client satisfaction.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial data firm is seeking a Senior Data Management Professional - Data Modeller to ensure data model consistency across Private Markets datasets. The role includes creating data taxonomies, collaborating with product teams, and developing high-quality documentation.
Candidates should have over four years of experience in programming and data modeling, strong communication skills, and the ability to work across multiple teams to meet client needs. This position is located in Greater London.
Senior Private Markets Data Modeller in London employer: Bloomberg New Energy Finance
Contact Detail:
Bloomberg New Energy Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Private Markets Data Modeller in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial data sector, especially those who work with private markets. A friendly chat can open doors and give you insights that might just land you that Senior Data Modeller role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data modelling projects. Highlight your experience in creating data taxonomies and any collaboration with product teams. This will make you stand out when we’re looking for someone with your expertise.
✨Tip Number 3
Practice makes perfect! Brush up on your programming skills and be ready to discuss your approach to data modelling in interviews. We want to see how you tackle challenges and ensure data model consistency across datasets.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by us. Plus, it shows you’re genuinely interested in joining our team and contributing to our mission in the financial data space.
We think you need these skills to ace Senior Private Markets Data Modeller in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Private Markets Data Modeller role. Highlight your experience in programming and data modelling, and don’t forget to showcase any relevant projects that demonstrate your skills in creating data taxonomies.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your strong communication skills and how you’ve successfully collaborated with product teams in the past.
Showcase Your Documentation Skills: Since developing high-quality documentation is key for this role, include examples of your previous work. If you’ve created user manuals or data models, mention them to show you can deliver clear and concise documentation.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Bloomberg New Energy Finance
✨Know Your Data Models
Make sure you brush up on your data modelling skills and be ready to discuss specific examples from your past work. Be prepared to explain how you've ensured data model consistency in previous roles, as this will show your expertise in the field.
✨Showcase Your Collaboration Skills
Since the role involves working with product teams, think of instances where you've successfully collaborated across departments. Highlight your communication skills and how they helped bridge gaps between teams to meet client needs.
✨Prepare for Technical Questions
Expect technical questions related to programming and data taxonomies. Review common data modelling concepts and be ready to demonstrate your problem-solving approach. Practising coding challenges can also give you an edge.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s data strategy or how they envision the role evolving. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.
