At a Glance
- Tasks: Join our team to design and implement data models for the insurance sector.
- Company: EY is a global leader in financial services, focusing on AI and data solutions.
- Benefits: Enjoy flexible working, continuous learning, and a diverse, inclusive culture.
- Why this job: Make a real impact in a growing field while developing your career with cutting-edge technology.
- Qualifications: Experience in data modelling, cloud platforms, and a passion for analytics is essential.
- Other info: This role offers opportunities for leadership and personal growth in a dynamic environment.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Senior Consultant, Data Modelling B14,Speciality Insurance Location: London Other locations: Primary Location Only Date: 2 May 2025 Requisition ID: 1598558 Senior Consultant, AI & Data, Financial Services, Data Modelling + Speciality Insurance London The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently seeking outstanding Data Modelers (Senior Consultants) with strong experience in AI and Data solution design and implementation within the Specialty Insurance domain to join our team and contribute to our ongoing growth and success on a global scale. Joining EY’s AI & Data team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients businesses and to your career. The opportunity The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together: Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions Your key responsibilities Work as part of a delivery team on complex Financial Services programs, primarily focusing on data modeling, with additional roles likely to include techno-functional analysis, data strategy, data analysis, solution design, and end-to-end implementation management. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Translate complex business and analytical requirements into scalable data structures across cloud platforms (Azure, AWS, GCP,Snowflake) and modern data architectures (e.g., data Lakehouse, data mesh). Work with stakeholders to define data standards, canonical models, and entity relationships across domains. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute, and pipeline strategies. Provide governance support by defining metadata, lineage, and documentation for critical data assets. Evaluate and introduce modeling best practices, tools, and automation to increase model reuse, version control, and deployment efficiency. Lead data modeling reviews, ensuring consistency across programs, and contribute to architecture boards or governance forums. Contribute to client proposals, RFP responses, and thought leadership related to enterprise data modelling and AI/ML readiness. Skills and attributes for success We’re looking for people with a passion for the delivery of data technology solutions that deliver positive outcomes for customers, regulators and shareholders. You should advanced problem-solving skills and the ability to communicate complex ideas effectively, both verbally and in writing To qualify for the role you must have some or all of the following: Previous FS experience in Insurance Sector with a good understanding of Speciality Insurance especially Llyods of London Market Deep expertise in relational, dimensional, and canonical data modeling techniques. Strong experience with data modeling tools such as Erwin, ER/Studio,SqlDBM or SQL DB-native modeling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems. Solid understanding of data governance, data quality, and master data management principles. Familiarity with data privacy, compliance, and security standards (e.g., GDPR, PCI-DSS). Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical specifications Understanding of technology trends and implications on the FS industry, including data platforms, digital drivers, cloud architecture, integration tools & approaches AI methods & techniques and the challenges faced in establishing effective delivery of value across the business Demonstratable interest and awareness in emerging technologies What we look for We are looking for highly motivated individuals who are passionate about Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead within a large practice and are eager to work in highly complex sectors, our AI and Data team is looking forward to hearing from you. What working at EY offers We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It’s yours to build. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. Provider Description Enabled SAP as service provider \”route\” is used for session stickiness \”careerSiteCompanyId\” is used to send the request to the correct data centre \”JSESSIONID\” is placed on the visitor\’s device during the session so the server can identify the visitor #J-18808-Ljbffr
Senior Consultant, Data Modelling B14,Speciality Insurance employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant, Data Modelling B14,Speciality Insurance
✨Tip Number 1
Familiarise yourself with the latest trends in data modelling and AI within the specialty insurance sector. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the financial services and insurance industries, especially those who work with data modelling. Attend relevant events or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Showcase your knowledge of cloud platforms like Azure, AWS, and GCP by discussing any hands-on experience you have. Being able to articulate how you've used these technologies in past roles will set you apart from other candidates.
We think you need these skills to ace Senior Consultant, Data Modelling B14,Speciality Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data modelling and the insurance sector, particularly any work related to Specialty Insurance. Use specific examples that demonstrate your skills in AI and data solution design.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for data and analytics. Mention how your background aligns with the responsibilities of the Senior Consultant role and how you can contribute to the team.
Showcase Technical Skills: In your application, emphasise your proficiency with data modelling tools and cloud platforms mentioned in the job description. Provide examples of projects where you've successfully implemented these technologies.
Highlight Problem-Solving Abilities: Demonstrate your advanced problem-solving skills by including specific instances where you've translated complex business requirements into effective data solutions. This will show your ability to communicate complex ideas effectively.
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with data modelling techniques, especially in the context of the Specialty Insurance sector. Highlight specific projects where you've designed and optimised data models, and be ready to explain the tools you used, such as Erwin or SQL DB-native modelling tools.
✨Understand the Business Context
Demonstrate your understanding of the financial services landscape, particularly the nuances of the Specialty Insurance market. Familiarise yourself with key concepts related to Lloyd's of London and be ready to discuss how data solutions can address specific business challenges in this area.
✨Prepare for Technical Questions
Expect technical questions related to cloud platforms like Azure, AWS, and GCP. Brush up on your SQL skills and be ready to solve problems on the spot. You might also be asked about data governance and compliance standards, so ensure you can articulate your knowledge in these areas.
✨Communicate Clearly and Confidently
Your ability to convey complex ideas simply is crucial. Practice explaining your past projects and technical concepts in a way that non-technical stakeholders can understand. This will showcase your communication skills, which are essential for collaborating with clients and team members.