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- Tasks: Support data transformation initiatives and collaborate with agile teams to deliver top-notch products.
- Company: Join a leading financial services firm focused on innovation and teamwork.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the financial sector while honing your data modelling skills.
- Qualifications: Experience in data analysis, modelling, and knowledge of Wealth Management platforms required.
- Other info: Dynamic work environment with a strong focus on collaboration and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Support the delivery of complex transformation initiatives across the data portfolio. Work within agile, multi-skilled teams to deliver high quality, customer centric products. Elicit and analyse business change, functional and non-functional requirements across a broad range of stakeholders. Collaborate with cross-asset IT teams to translate requirements and deliver effective reconciliation solutions. Own and produce analysis and data modelling artefacts to enable development teams to deliver working solutions. Develop a strong understanding of the end-to-end user journey beyond system boundaries. Provide advanced business and technical input into requirements development. Create and enhance conceptual, logical, and physical data models in line with agreed standards. Perform metadata analysis, including entity and attribute naming, definitions, data types, and lengths. Create, maintain, and govern data models and associated artefacts.
Required Experience & Skills:
- Strong Data Analysis and/or Data Modelling experience.
- Strong financial services domain knowledge, ideally within Wealth Management.
- Hands‑on experience working with Wealth Management platforms such as Avaloq, Temenos (or similar core banking/investment platforms).
- Experience working with CRM systems and integrating client, portfolio, and transactional data.
- Proven experience in requirements gathering, gap analysis, data analysis, effort estimation, reviews, data mapping, and database design.
- Deep understanding of data modelling (conceptual, logical, physical) and data governance standards.
- Ability to maintain high-quality metadata and data artefacts that are accurate, consistent, traceable, and reliable.
- Strong understanding of SDLC and Agile methodologies.
- Self‑starter with strong ownership mindset and problem‑solving approach.
- Excellent communication and stakeholder management skills, with the ability to act as a bridge between business and technology teams.
Data Modeler employer: Vanloq - Workforce Solutions
Contact Detail:
Vanloq - Workforce Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on a job opening or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects and any relevant work you've done. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of the financial services domain. Be ready to discuss how your experience aligns with the role and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like 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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Modeler role. Highlight your data analysis and modelling experience, especially in financial services. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of projects where you've worked with Wealth Management platforms or CRM systems. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your cover letter, keep it straightforward. Clearly outline your understanding of data modelling and governance standards. We appreciate clarity and a direct approach in communication!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Vanloq - Workforce Solutions
✨Know Your Data Inside Out
Make sure you brush up on your data modelling skills and financial services knowledge, especially in Wealth Management. Be ready to discuss specific examples of how you've created and enhanced data models, and how they align with industry standards.
✨Showcase Your Agile Experience
Since the role involves working within agile teams, be prepared to share your experiences in agile environments. Talk about how you've collaborated with cross-functional teams and contributed to delivering customer-centric products.
✨Master the Art of Requirements Gathering
Demonstrate your ability to elicit and analyse business requirements effectively. Prepare to discuss your approach to gap analysis and how you've translated complex requirements into actionable data modelling artefacts.
✨Communicate Like a Pro
Strong communication skills are key for this role. Practice explaining technical concepts in simple terms, as you'll need to bridge the gap between business and technology teams. Think of examples where you've successfully managed stakeholder expectations.