Data Modeller in London

Data Modeller in London

London Full-Time 70000 - 90000 £ / year (est.) No home office possible
Qualient Technology Solutions UK Limited

At a Glance

  • Tasks: Design and develop data models for trading, risk, and regulatory reporting.
  • Company: Leading investment bank with a focus on innovation and collaboration.
  • Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Dynamic team environment with potential for career advancement.
  • Why this job: Join a niche role to make a significant impact in the finance sector.
  • Qualifications: 7+ years of data modelling experience, especially in investment banking.

The predicted salary is between 70000 - 90000 £ per year.

We are looking for an experienced Data Modeller with a strong Investment Banking background to support complex data initiatives across trading, risk, settlements, and regulatory reporting. This is a niche, hands-on modelling role (not architecture) for someone who can work closely with business SMEs and technical teams to design robust logical and physical models.

  • Develop logical and physical data models for data warehouses, data lakes, and data marts
  • Work closely with business SMEs to translate requirements into scalable data models
  • Support capital markets data flows across equities, fixed income, derivatives, trade & position data
  • Apply performance considerations and best practices in model design
  • Use leading data modelling tools such as ERwin, PowerDesigner, ER/Studio, etc.

Requirements:

  • 7+ years of overall data modelling experience
  • 4–5+ years dedicated to logical and physical modelling
  • Strong background in Investment Banking (trading, risk, settlements, collateral, reference data, regulatory reporting)
  • Hands-on experience with modelling tools (ERwin, PowerDesigner, ER/Studio or similar)
  • Excellent understanding of capital markets products and data flows
  • Strong SQL skills and performance-driven model design
  • Ability to work effectively with business and technology stakeholders

Nice to Have:

  • Exposure to Azure, AWS, or GCP
  • Experience with data governance, metadata, and data lineage
  • Background in regulatory/risk data programmes (BCBS 239, FRTB, MiFID, etc.)

Data Modeller in London employer: Qualient Technology Solutions UK Limited

Join a leading investment banking firm that values innovation and collaboration, offering a dynamic work environment where your expertise as a Data Modeller will directly impact critical data initiatives. With a strong focus on employee development, we provide ample opportunities for growth and advancement, alongside competitive benefits and a culture that promotes teamwork and excellence. Located in the heart of the financial district, you will thrive in a vibrant setting that fosters professional relationships and encourages meaningful contributions to the industry.
Qualient Technology Solutions UK Limited

Contact Detail:

Qualient Technology Solutions UK Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Modeller 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 hunt for a Data Modeller role. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Get your hands dirty with practical projects. If you can, work on personal or open-source data modelling projects that showcase your skills with tools like ERwin or PowerDesigner. This not only sharpens your abilities but also gives you something tangible to discuss in interviews.

✨Tip Number 3

Prepare for those interviews by brushing up on your SQL skills and understanding capital markets products. Be ready to discuss how you've applied performance considerations in your previous modelling work. We want to see you shine!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Data Modeller in London

Data Modelling
Investment Banking Knowledge
Logical Data Modelling
Physical Data Modelling
Data Warehousing
Data Lakes
Data Marts
SQL Skills
Capital Markets Understanding
Modelling Tools (ERwin, PowerDesigner, ER/Studio)
Performance-Driven Model Design
Stakeholder Engagement
Data Governance
Metadata Management
Data Lineage

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data modelling, especially in the investment banking sector. We want to see how your skills align with the specific requirements mentioned in the job description.

Showcase Your Tools: List the data modelling tools you’ve used, like ERwin or PowerDesigner. We’re keen on seeing your hands-on experience, so don’t hold back on detailing your proficiency with these tools!

Highlight Collaboration Skills: Since this role involves working closely with business SMEs and technical teams, emphasise your ability to collaborate effectively. Share examples of how you've translated complex requirements into scalable data models.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!

How to prepare for a job interview at Qualient Technology Solutions UK Limited

✨Know Your Data Modelling Tools

Make sure you’re well-versed in the data modelling tools mentioned in the job description, like ERwin and PowerDesigner. Brush up on your skills and be ready to discuss how you've used these tools in past projects.

✨Understand Capital Markets Inside Out

Since this role requires a strong background in Investment Banking, take some time to review key concepts related to trading, risk, and settlements. Be prepared to share specific examples of how you've worked with capital markets data flows.

✨Prepare for Technical Questions

Expect technical questions that assess your SQL skills and model design principles. Practise explaining your thought process when designing logical and physical models, and be ready to discuss performance considerations.

✨Engage with Business SMEs

Show that you can effectively collaborate with business stakeholders. Think of examples where you translated business requirements into data models, and be ready to discuss how you ensure alignment between technical teams and business needs.

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