Data Modeller

Data Modeller

Full-Time 60000 - 80000 £ / 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: Join a leading investment bank with a focus on innovation.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with experts and enhance your skills in a dynamic environment.
  • Why this job: Make an impact in the fast-paced world of investment banking data.
  • Qualifications: 7+ years in data modelling, especially in investment banking.

The predicted salary is between 60000 - 80000 £ 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 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 growth, we provide access to cutting-edge tools and training, fostering a culture of continuous learning and professional development. Located in the heart of the financial district, our office offers not only competitive benefits but also a vibrant atmosphere that encourages teamwork and creativity.
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

✨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. Personal recommendations can make all the difference, so don’t be shy about asking for introductions.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best data models and projects. This is your chance to demonstrate your hands-on experience with tools like ERwin or PowerDesigner, and it’ll give you an edge during interviews.

✨Tip Number 3

Prepare for those tricky interviews! Brush up on your SQL skills and be ready to discuss how you've tackled complex data initiatives in the past. Use real examples from your experience in trading, risk, and settlements to impress the interviewers.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes speed up the process. Plus, it shows you’re genuinely interested in joining our team!

We think you need these skills to ace Data Modeller

Data Modelling
Investment Banking Knowledge
Logical Data Modelling
Physical Data Modelling
Data Warehousing
Data Lakes
Data Marts
SQL
ERwin
PowerDesigner
ER/Studio
Capital Markets Understanding
Performance-Driven Model Design
Stakeholder Engagement
Data Governance

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 any past experiences where you successfully collaborated across different teams. We love a team player!

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. Don’t miss out!

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 tackle 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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