At a Glance
- Tasks: Join our team to solve complex data challenges in Financial Services.
- Company: EY is a global leader in consulting, driving innovation in Financial Services.
- Benefits: Enjoy flexible working, continuous learning, and a competitive remuneration package.
- Why this job: Make a real impact on clients' businesses while advancing your career in a dynamic environment.
- Qualifications: 2+ years in Financial Services with knowledge of data platforms and AI technologies.
- Other info: Be part of a diverse culture that values your unique voice and perspective.
The predicted salary is between 43200 - 72000 £ per year.
Senior Consultant, AI & Data, Financial Services, Data Platforms, Edinburgh
The EY Financial Services AI & Data Consulting team in Scotland is continuing to grow and develop unique advisory propositions in response to market needs and demand. We fully support the Scottish Financial Enterprise (SFE) vision for an ecosystem with Data, AI and emerging technology at the core and are now recruiting for new colleagues as part of our strategic investment to help deliver this vision. We offer the opportunity to join a local team, driving continued growth and success on a global scale, delivering exceptional career experiences and advancing Scotland’s position as a world leader in Financial Services.
Our mission is to deliver AI-ready Data enabling our Financial Services clients to deliver superior market products and experiences. We are currently looking for exceptional Senior Consultants with good experience in Financial Services and Data Platform solutions to join our team and actively contribute to this mission, locally and globally. Joining the Edinburgh EY 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
In this AI & Data consulting role, you will work collaboratively with our clients to enhance their ability to solve complex business problems by delivering engagements related to the deployment of Data Platforms such as Snowflake and Databricks. We provide expertise and delivery across two core areas:
- Data Architecture & Engineering – Focusing on next generation data platforms, architecture and implementation, making data available and trusted to deliver on AI priorities
- Data Management & Strategy – Supporting our clients manage AI & Data Risk, define AI & Data Strategies, design Target Operating Models and enable Data Offices that prove transformational to their business
Your key responsibilities
- Work as part of a delivery team on complex Financial Services data transformation programmes. A typical programme can include roles such as target state architecture scoping, data analysis, solution design, and end to end implementation management. As a Senior Consultant you will be a vital part of the delivery team on any or all of those roles as you develop your practical experiences with Data Platform solutions.
- Support the development of new EY data solutions and methods that will improve effectiveness and reduce costs of current practices.
- Support RFP responses as well as thought leadership articles that we issue to the market.
- Experience in Data Platform Technologies, including some of the following capabilities:
- Understanding of Snowflake/Databricks architecture, including basic data warehousing concepts and data sharing capabilities
- The ability to write SQL and/or Python queries for the purposes of transforming, joining and aggregating data
- Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools and features
- Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma
- Experience using native functionality to deploy and interact with Large Language Models
- Ability to develop, test and deploy machine learning models
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 have advanced problem solving skills, relish working in high performing teams and and an 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:
- Demonstratable interest and awareness in data, AI & emerging technologies
- Good problem solving, teamwork and communication skills, and an ability to communicate ideas effectively and clearly
- 2+ years of FS experience in one of the following sectors: Banking, Capital Markets or Insurance
- Good knowledge in at least one of our core AI & Data capabilities
- Data Architecture & Data Engineering
- Data Management & Strategy
- Some hands-on coding experience with SQL, Python or Scala would be advantageous but not compulsory
- Relevant experience in Data Platform Technologies (knowledge of any or all including Snowflake, Databricks, Microsoft Fabric would be beneficial)
- Previous consulting experience would be a plus, but so would the curiosity and ambition to develop your career with a consulting role
What we look for
We are looking for highly motivated individuals who are passionate about AI and Data and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, want to learn how to grow and lead in a large practice, deliver on Scotland’s vision for Financial Services and work in the most complex of sectors our Edinburgh 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.
Apply now.
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Senior Consultant - Data Engineering, BCM, FS employer: Iris Software
Contact Detail:
Iris Software Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant - Data Engineering, BCM, FS
✨Tip Number 1
Familiarise yourself with the specific data platforms mentioned in the job description, such as Snowflake and Databricks. Understanding their architecture and capabilities will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the local Financial Services ecosystem by attending relevant meetups or webinars. Networking with professionals in the field can provide insights into current trends and challenges, making you a more informed candidate.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on small projects or contributing to open-source initiatives that involve data transformation and analysis to showcase your practical experience.
✨Tip Number 4
Stay updated on the latest AI and data management strategies within the Financial Services sector. Reading industry reports or thought leadership articles can help you articulate your understanding of how these technologies impact business outcomes during discussions.
We think you need these skills to ace Senior Consultant - Data Engineering, BCM, FS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Financial Services and Data Platform solutions. Use keywords from the job description, such as 'Data Architecture', 'Data Engineering', and specific technologies like 'Snowflake' and 'Databricks'.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and Data, and how your skills align with the role. Mention specific projects or experiences that demonstrate your problem-solving abilities and teamwork in data transformation programmes.
Showcase Technical Skills: Clearly outline your technical skills related to SQL, Python, and any experience with data platforms. Provide examples of how you've used these skills in previous roles to solve complex business problems.
Highlight Collaborative Experience: Emphasise your ability to work collaboratively with clients and teams. Share examples of how you've contributed to successful projects in the Financial Services sector, showcasing your communication skills and teamwork.
How to prepare for a job interview at Iris Software
✨Understand the Role and Responsibilities
Make sure you thoroughly understand the key responsibilities of a Senior Consultant in Data Engineering. Familiarise yourself with data platforms like Snowflake and Databricks, as well as the specific tasks you'll be expected to perform, such as data analysis and solution design.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and any relevant data platform technologies. Highlight specific projects where you've successfully implemented data solutions or transformed datasets, as this will demonstrate your hands-on expertise.
✨Communicate Effectively
Practice articulating complex ideas clearly and concisely. Since the role requires strong communication skills, be ready to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your ability to bridge the gap between technology and business.
✨Demonstrate Your Passion for AI and Data
Express your enthusiasm for AI and emerging technologies during the interview. Share insights on current trends in the financial services sector and how they relate to data-driven decision-making, showing that you're not just knowledgeable but also genuinely interested in the field.