At a Glance
- Tasks: Collaborate on complex financial services programs in wealth and asset management.
- Company: Join EY's expanding AI & Data team, shaping innovative advisory solutions.
- Benefits: Enjoy flexible working, competitive pay, and a comprehensive rewards package.
- Why this job: Make a significant impact while advancing your career in a dynamic environment.
- Qualifications: Experience in wealth management, data architecture, and advanced analytics is essential.
- Other info: Embrace a diverse culture that empowers your voice and fosters continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
Senior Consultant, AI & Data, Wealth Asset Management Financial Services
London
The EY Financial Services AI & Data team is expanding and creating distinctive advisory propositions tailored to market demands. We are seeking outstanding Senior Consultants with substantial experience in AI & Data solution design and implementation, particularly within the wealth and asset management sector. This role will enable you to contribute to our team’s ongoing growth and success on a global scale. By joining EY’s AI & Data team during this dynamic phase, you will have the opportunity to make a significant impact on our clients’ businesses while advancing your own 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:
- AI and Advanced Analytics – Dedicated to harnessing cutting-edge technologies and data-driven insights to drive innovation and enhance decision-making across the organization. Our focus is on delivering actionable intelligence that empowers teams to optimize performance, improve customer experiences, and achieve strategic objectives.
- 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
- Collaborate as part of a delivery team on complex financial services programs, specifically focusing on wealth and asset management initiatives, with roles likely to include techno-functional analysis, data strategy, data analysis, solution design, and end-to-end implementation management.
- Support 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 that we issue to the market.
- Work to ensure internal risk and admin processes are adhered to.
Skills and attributes for success
We are seeking individuals who are passionate about delivering data technology solutions that create positive outcomes for customers, regulators, and shareholders. Candidates should possess strong problem-solving skills and the ability to communicate complex concepts clearly and effectively, both verbally and in writing.
To qualify for the role you must have some or all of the following:
- Proven experience in wealth and asset management, with a good understanding of investment strategies and the end-to-end value chain to effectively advise clients on modernising their Data platforms.
- Advanced knowledge in at least one of our core capabilities of:
- Data Architecture & Data Engineering
- Advanced Analytics Cloud Architectures and Tooling
- Data Management, Data Strategy, Data Governance and Data Quality
- Solution architecture (Business, Functional, Technical)
- Understanding of technology trends and implications on the FS industry, including vendor platforms (such as BlackRock Aladdin, State Street Alpha, FNZ, etc), digital drivers, cloud architecture & providers, integration tools & approaches, and artificial intelligence methods & techniques (experience in Cloud Computing Platforms -knowledge of any or all of Snowflake, Azure, AWS and Google would be beneficial).
- Knowledge of the common functions in a typical Data organisation.
- Demonstratable interest and awareness in emerging technologies.
- Hands-on coding experience with SQL, Python or Scala.
What we look for
We are looking for highly motivated individuals who are passionate about Data and Analytics and want to assist wealth and asset management 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 and work in the most complex of sectors our Data and Analytics 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, AI & Data, FS, Wealth Asset Management employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant, AI & Data, FS, Wealth Asset Management
✨Tip Number 1
Familiarize yourself with the latest trends in AI and data analytics, especially as they relate to wealth and asset management. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those working with data solutions. Attend industry events or webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 3
Showcase your hands-on experience with coding languages like SQL, Python, or Scala. Be prepared to discuss specific projects where you've applied these skills to solve complex problems in data architecture or analytics.
✨Tip Number 4
Prepare to discuss how you've contributed to the development of data strategies or governance frameworks in previous roles. Highlight any successful implementations that improved efficiency or reduced costs.
We think you need these skills to ace Senior Consultant, AI & Data, FS, Wealth Asset Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI & Data solution design and implementation, especially within wealth and asset management. Use specific examples that demonstrate your problem-solving skills and ability to communicate complex concepts.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data technology solutions and how they can create positive outcomes for clients. Mention your understanding of investment strategies and the end-to-end value chain, as well as your hands-on coding experience with SQL, Python, or Scala.
Showcase Relevant Projects: Include details about any relevant projects you've worked on that involved data architecture, advanced analytics, or cloud computing platforms. Highlight your role in these projects and the impact they had on the organization.
Prepare for Technical Questions: Be ready to discuss your technical knowledge in areas like data governance, data strategy, and emerging technologies during the interview process. Familiarize yourself with common vendor platforms and tools mentioned in the job description.
How to prepare for a job interview at EY
✨Showcase Your Expertise in AI & Data
Make sure to highlight your experience in AI and data solution design, especially within wealth and asset management. Be prepared to discuss specific projects where you've successfully implemented data strategies or advanced analytics.
✨Understand the Financial Services Landscape
Demonstrate a solid understanding of the financial services industry, particularly investment strategies and the end-to-end value chain. This will show that you can effectively advise clients on modernizing their data platforms.
✨Communicate Complex Concepts Clearly
Practice explaining complex data and technology concepts in simple terms. This skill is crucial for consulting roles, as you'll need to communicate effectively with clients who may not have a technical background.
✨Stay Updated on Technology Trends
Be aware of the latest technology trends and their implications for the financial services industry. Familiarize yourself with vendor platforms and cloud architectures, as this knowledge will be valuable during your interview.