At a Glance
- Tasks: Create data models for banking and investment projects, ensuring clarity and consistency.
- Company: Leading financial institution in London with a focus on innovation.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with chances to collaborate globally.
- Why this job: Join a dynamic team and shape the future of banking data.
- Qualifications: Experience with data modelling tools and concepts, especially in finance.
The predicted salary is between 60000 - 80000 € per year.
Responsibilities
- Develop conceptual and logical models for bank data such as products, loans, customers, AML transactions.
- Develop conceptual and logical models for investment banking data concepts (client and counterparty, products and instruments, trades and transactions, positions, risk and finance, market data, collateral data).
- Align all models to a common modelling language, naming conventions, and reusable patterns to ensure consistency across products.
- Ensure each data product model provides a clear, actionable bridge between business requirements and upstream authoritative data sources.
- Facilitate structured sessions with SMEs and the data office to validate definitions, resolve discrepancies, and capture requirements.
- Define and embed modelling standards, metadata requirements, and quality controls aligned with the data governance framework.
- Operate within a factory model, delivering multiple data product models concurrently in an iterative, high‑throughput approach.
- Coordinate with onsite leadership and offshore teams to accelerate delivery and knowledge transfer.
- Work closely with enterprise architects, data governance leads, solution designers and engineering teams to ensure models are understood, maintainable and actionable.
Qualifications
- Hands‑on experience with Erwin/ER Studio.
- Experience with dimensional, 3NF, and Data Vault modelling.
- Familiarity with end‑to‑end data modelling concepts.
- Prior experience in conceptual/logical modelling within capital markets or investment banking.
- Proficiency in modelling tools such as Hackolade and Erwin.
- Investment banking experience preferred; broader banking knowledge is desirable.
Data Modeler in London employer: Teksystems
As a leading player in the investment banking sector, our company offers Data Modelers an exceptional opportunity to thrive in a dynamic and collaborative environment in London. We prioritise employee growth through continuous learning and development, while our inclusive work culture fosters innovation and teamwork. With competitive benefits and a commitment to excellence, we empower our employees to make a meaningful impact in the financial industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and data modelling sectors. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and projects. This will give you an edge during interviews and help demonstrate your hands-on experience with tools like Erwin and Hackolade.
✨Tip Number 3
Prepare for those interviews! Research common questions related to data modelling in investment banking. Practise articulating how you've aligned models to business requirements and resolved discrepancies with SMEs.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Modeler in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Modeler role. Highlight your hands-on experience with Erwin/ER Studio and any relevant modelling techniques you've used. We want to see how your skills align with our needs!
Showcase Your Experience:In your cover letter, don’t just list your qualifications; tell us about your past projects in capital markets or investment banking. We love hearing about real-world applications of your skills, so give us the juicy details!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate clarity, especially when it comes to complex data concepts!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Teksystems
✨Know Your Data Modelling Tools
Make sure you're well-versed in Erwin, ER Studio, and any other modelling tools mentioned in the job description. Brush up on your skills and be ready to discuss how you've used these tools in past projects. This will show that you’re not just familiar with them, but that you can leverage them effectively.
✨Understand the Business Context
Before the interview, take some time to research the company’s business model, especially in investment banking. Be prepared to explain how your data models can bridge business requirements with authoritative data sources. This shows that you understand the bigger picture and can align your work with their goals.
✨Prepare for Technical Questions
Expect technical questions about dimensional, 3NF, and Data Vault modelling. Review your past experiences and be ready to discuss specific challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Showcase Your Collaboration Skills
Since the role involves coordinating with various teams, be ready to share examples of how you've facilitated sessions with SMEs or worked with offshore teams. Highlight your communication skills and ability to resolve discrepancies, as this is crucial for ensuring everyone is on the same page.
