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For Companies At a Glance
- 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 an impact in the financial sector while honing your data modelling skills.
- Qualifications: Experience in data analysis and modelling, preferably in Wealth Management.
- Other info: Dynamic work environment with a focus on collaboration and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Key Responsibilities:
- 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.
Tools & Technologies:
- SQL
- MS Office
- GCP BigQuery
- Erwin
- Visual Paradigm (preferred)
Data Modeler in City of London employer: Vanloq - Workforce Solutions
Contact Detail:
Vanloq - Workforce Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data modelling or in financial services. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and analysis projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and data governance standards. Be ready to discuss how you've applied these in past roles, as it shows you're not just familiar but experienced.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Data Modeler in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeler role. Highlight your data analysis and modelling experience, especially in financial services. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've worked with data modelling or transformation initiatives. We love seeing real examples of your work, especially if you've used tools like SQL or GCP BigQuery.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for your skills and experiences to make it easy for us to read. We appreciate straightforward communication!
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. 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 understand the intricacies of SQL and data governance standards. Be ready to discuss your previous experiences with data analysis and how you've tackled complex transformation initiatives.
✨Showcase Your Financial Services Knowledge
Since the role requires strong financial services domain knowledge, especially in Wealth Management, be prepared to talk about your experience with platforms like Avaloq or Temenos. Highlight any specific projects where you integrated client or portfolio data.
✨Master the Agile Mindset
Familiarise yourself with Agile methodologies and be ready to discuss how you've worked within multi-skilled teams. Share examples of how you’ve contributed to delivering customer-centric products and how you handle requirements gathering and gap analysis.
✨Communicate Like a Pro
Excellent communication is key! Practice articulating complex technical concepts in a way that non-technical stakeholders can understand. Think of examples where you acted as a bridge between business and technology teams, showcasing your stakeholder management skills.