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- Tasks: Collaborate with teams to create and enhance data models for financial institutions.
- Company: Galytix is revolutionising AI in banking and insurance, delivering trusted solutions.
- Benefits: Enjoy career progression, work with industry leaders, and develop valuable skills.
- Why this job: Join a mission-driven team redefining industry standards and making a real impact.
- Qualifications: Degree in Computer Science or Engineering; 2+ years in Data Modeling or Solution Design.
- Other info: Work with top-tier clients on critical projects in a customer-centric environment.
The predicted salary is between 48000 - 72000 £ per year.
Galytix (GX) is delivering on the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.
Responsibilities:
- Working closely with Product Owners, Solution Architects, and the Data Engineering community to ensure the best data solutions are delivered.
- Triaging new requirements and providing impact assessments and appropriate estimates for amending data models in line with solution designs and requirements.
- Developing and enhancing conceptual, logical, and physical data models in line with new requirements.
- Maintaining data models and being their custodian, driving compliance as appropriate.
- Defining and owning the role of the data modelling team within a client delivery team and providing guidance on a day-to-day basis.
- Ensuring data models are developed to meet appropriate standards and principles.
- Creating solutions that meet business needs and move towards end-state architecture.
- Ensuring data models are documented, communicated, updated, and centrally managed in an appropriate manner.
Desired Skills:
- A Computer Science or Engineering university degree.
- 2+ years of experience working in Data Modeler or Solution Designer roles.
- Prior experience on data engineering/ETL intensive projects.
- Domain knowledge and prior experience in Financial Services industry.
- Proven capability of deploying analytical concepts into business as usual practice.
- Excellent written and verbal command of English.
- Self-motivated individual with strong sense for commitment and high-quality delivery.
Why You Do Not Want to Miss This Career Opportunity?
- We are a mission-driven firm that is revolutionising the Insurance and Banking industry.
- We are not aiming to incrementally push the current boundaries; we redefine them.
- Customer-centric organisation with innovation at the core of everything we do.
- Capitalize on an unparalleled career progression opportunity.
- Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
- Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
Data Architect/Data Modeler London, UK employer: Galytix Limited
Contact Detail:
Galytix Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect/Data Modeler London, UK
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture and modelling, especially within the financial services sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the industry.
✨Tip Number 2
Network with professionals already working in data roles within financial institutions. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights into what Galytix is looking for.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data models or solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Research Galytix's AI assistants and understand how they are used in the banking and insurance industries. Being able to speak knowledgeably about their products and how your skills can contribute to their mission will set you apart from other candidates.
We think you need these skills to ace Data Architect/Data Modeler London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data modelling and engineering, particularly in the financial services sector. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data solutions. Mention specific projects or experiences that align with the responsibilities outlined in the job description, emphasising your ability to deliver high-quality results.
Showcase Your Skills: In your application, clearly outline your technical skills related to data modelling and engineering. Provide examples of how you've successfully implemented data solutions in previous roles, especially in relation to compliance and documentation.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a role in data architecture.
How to prepare for a job interview at Galytix Limited
✨Understand the Company and Its Products
Before your interview, take some time to research Galytix and their AI assistants. Understand how they operate within the banking and insurance sectors, and be prepared to discuss how your skills can contribute to their mission of revolutionising these industries.
✨Showcase Your Data Modelling Experience
Be ready to talk about your previous experience as a Data Modeler or Solution Designer. Highlight specific projects where you developed data models, especially in financial services, and explain how you ensured compliance and quality in your work.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, ETL processes, and analytical concepts. Brush up on your knowledge of conceptual, logical, and physical data models, and be prepared to discuss how you've applied these in real-world scenarios.
✨Demonstrate Your Communication Skills
Since the role involves working closely with Product Owners and Solution Architects, it's crucial to demonstrate your excellent written and verbal communication skills. Be clear and concise in your answers, and provide examples of how you've effectively communicated complex ideas in the past.
