At a Glance
- Tasks: Lead the design of a unified data model for wealth and asset management.
- Company: Dynamic financial services firm with a focus on innovation.
- Benefits: Competitive day rate, flexible working, and high-visibility projects.
- Other info: Opportunity to work with senior leadership and across multiple regions.
- Why this job: Make an immediate impact on a greenfield project in a fast-paced environment.
- Qualifications: Experience in wealth management and enterprise-level data models required.
Lead the hands-on design and evolution of a shared enterprise data model across wealth and asset management divisions. This is the first phase of a multi-division build, integrating data from UK, European and Swiss operations into a single, governed model. You will work directly with senior technical and business stakeholders to bring structure to a genuinely greenfield problem.
Key Responsibilities:
- Lead the initial build-out of a unified data model spanning wealth and asset management across multiple divisions.
- Liaise with data governance functions and divisional data teams to keep the model consistent as it develops.
- Apply strong development governance: define how new elements are added to the model without breaking what's already built, while work continues incrementally alongside other live projects.
- Work with an established reference ontology to align data domains and objects to industry standards.
- Contribute hands-on to data engineering and pipeline work where needed.
- Operate independently with minimal ramp-up time, picking up context quickly in a fast-moving environment.
Required Experience:
- Significant recent experience in wealth or asset management, ideally spanning multiple divisions or entities.
- Proven background designing, building or evolving enterprise-level data models.
- Comfortable working within strong governance and change control on an actively evolving model.
- Strong familiarity with modern cloud data architectures and tooling (Azure Data Factory, Databricks, lakehouse or data warehouse patterns).
- Available to start at short notice.
- Experience with spec-driven development or AI-assisted coding tools would be an advantage, but is not essential.
Why This Role?
- Direct ownership of the first phase of a genuinely greenfield enterprise data model.
- High-visibility work reporting into senior data leadership, with exposure across multiple regions.
- A fast-paced, hands-on assignment for someone who wants to make an immediate impact rather than inherit an established backlog.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Architect, Wealth Management in London
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We think you need these skills to ace Data Platform Architect, Wealth Management in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ARC IT Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to ARC IT Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab ARC IT Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at ARC IT Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at ARC IT Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at ARC IT Recruitment.
