At a Glance
- Tasks: Lead AI & Data projects, transforming Financial Services with innovative data solutions.
- Company: Join EY, a global leader in consulting and financial services.
- Benefits: Competitive pay, flexible working, continuous learning, and diverse culture.
- Other info: Be part of a dynamic team driving Scotland's financial innovation.
- Why this job: Make a real impact in the evolving world of AI and Data.
- Qualifications: 5+ years in Financial Services and experience with Data Platforms like Snowflake.
The predicted salary is between 80000 - 100000 £ per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
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 Managers with strong 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 leading 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
- Manage a delivery team on Financial Services Data Platform transformation programmes. A typical programme can include roles such as target state architecture scoping, data analysis, solution design, and end to end implementation management.
- Business development; including the development of long-term trusted advisor relationships with our clients and Data Platform vendors. You will support RFP responses as well as thought leadership articles that we issue to the market.
- Manage and track engagement financials, including time management, billing and invoice management.
- Develop our people through coaching, talent development, recruitment and formal performance management.
- Ensure internal risk and admin processes are adhered to.
- Support the development of new EY data solutions and methods that will improve effectiveness and reduce costs of current practices.
- Participate actively in the local Financial Services ecosystem, collaborating with our clients, FinTechs and Universities as we advance Scotland’s position as a world leader in Financial Services.
Skills and attributes for success
We’re looking for people with a passion for the delivery of data platform solutions that deliver positive outcomes for customers, regulators and shareholders. You should have leadership, problem solving and teamwork skills, 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.
- Ability to demonstrate strong leadership, problem solving, teamwork and communication skills, and an ability to communicate ideas effectively and clearly both verbally and in writing to a diverse set of business and technical stakeholder groups.
- 5+ years of FS experience in one of the following sectors: Banking, Capital Markets or Insurance.
- Relevant experience in Data Platform Technologies, including 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.
- Experience of Agile and traditional SDLC delivery methodologies.
- A point of view on how the FS industry will continue to evolve and how the technology, innovation and FinTech landscape will shape the future.
- Experience creating new AI & Data propositions / assets/ solutions and launching these to the market.
- Previous consulting experience would be a plus, but so would the curiosity and ambition to develop your career with a consulting role.
- Certifications such as SnowPro Associate, SnowPro Core and Databricks Certified Data Analyst Associate would be advantageous but not essential and EY will invest in the right candidate to support their professional development.
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, understand 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 we offer
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. Join us in building a better working world.
Manager, AI & Data, Financial Services, Edinburgh, Data Platforms employer: EY Studio+ Nederland
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Edinburgh's thriving Financial Services sector. Our commitment to employee growth is evident through our comprehensive Total Rewards package, which includes flexible working options, continuous learning opportunities, and a diverse, inclusive environment where every voice is valued. Join us to make a meaningful impact while advancing your career in a globally connected powerhouse dedicated to building a better working world.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI & Data, Financial Services, Edinburgh, Data Platforms
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We think you need these skills to ace Manager, AI & Data, Financial Services, Edinburgh, Data Platforms
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at EY Studio+ Nederland, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EY Studio+ Nederland. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EY Studio+ Nederland
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EY Studio+ Nederland!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
