At a Glance
- Tasks: Create and refine data models for investment banking, ensuring clarity and consistency.
- Company: Leading investment banking firm with a focus on innovation and teamwork.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Fast-paced environment with potential for career advancement.
- Why this job: Join a dynamic team and shape the future of data in finance.
- Qualifications: Experience in data modelling and strong collaboration skills required.
The predicted salary is between 50000 - 60000 € per year.
A market leading Investment Banking organisation are searching for an experienced Data Modeler to join one of their growing teams on a remote basis.
Role responsibilities include:
- Developing conceptual and logical models for investment-bank data concepts (e.g., client and counterparty, products and instruments, trade and transactions, positions, risk and finance, market data, collateral data).
- Aligning all models to a common modelling language, naming conventions, and reusable patterns to ensure consistency across products.
- Ensuring each data product model provides a clear, actionable bridge between business requirements and upstream authoritative data sources.
- Facilitating structured sessions with SMEs and data office to validate definitions, resolve discrepancies, and capture requirements.
- Defining and embedding modelling standards, metadata requirements, and quality controls aligned to the data governance framework.
- Operating within a factory model, working in an iterative, high-throughput approach to deliver multiple data product models concurrently.
- Coordinating with onsite leadership and offshore teams to accelerate delivery and knowledge transfer.
- Working closely with enterprise architects, data governance leads, solution designers, and other stakeholders.
Data Modeler employer: Intec Select Ltd
Join a leading Investment Banking organisation that values innovation and collaboration, offering a dynamic remote work environment for Data Modelers. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge data technologies. Our inclusive culture fosters teamwork and creativity, making it an ideal place for professionals seeking meaningful and rewarding careers in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler
✨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 Modeler role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in data modelling. Join relevant groups and participate in discussions to get noticed by potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data governance frameworks and be ready to discuss how you've aligned models to common languages and naming conventions in past projects. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Modelers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Modeler role. Highlight relevant experience and skills that match the job description, like your expertise in developing conceptual and logical models. We want to see how you can bring value to our team!
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 specific projects where you've aligned models to common languages or facilitated sessions with SMEs. Let us know what makes you tick!
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in data modelling and governance. If you’ve worked with metadata requirements or quality controls, make sure to mention those. We love seeing candidates who are well-versed in the tools and techniques relevant to the role!
Apply Through Our Website:We encourage you to apply 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. Plus, it’s super easy!
How to prepare for a job interview at Intec Select Ltd
✨Know Your Data Models
Make sure you brush up on your knowledge of data modelling concepts. Be ready to discuss how you've developed conceptual and logical models in the past, especially in relation to investment banking data like client information and transactions.
✨Understand the Business Requirements
Familiarise yourself with how business requirements translate into data models. Prepare examples of how you've aligned data products with business needs and how you’ve facilitated discussions with subject matter experts to validate definitions.
✨Showcase Your Collaboration Skills
Since this role involves coordinating with various teams, be prepared to share experiences where you worked closely with enterprise architects or data governance leads. Highlight your ability to work in a factory model and deliver multiple data product models concurrently.
✨Emphasise Quality Control
Discuss your approach to embedding modelling standards and quality controls. Be ready to explain how you ensure consistency across products and how you’ve implemented metadata requirements in previous roles.
