Website EY
Position Summary:
The EY Financial Services Data and Analytics (DnA) team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for exceptional Senior Consultants with good experience in Data and Analytics solution design and implementation to join our team and drive continued growth and success on a global scale.
Key Responsibilities:
- Work to ensure internal risk and admin processes are adhered to
- Work as part of a delivery team on complex FS programmes 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.
Required Education & Experience:
- Demonstratable interest and awareness in emerging technologies
- Relevant, significant post-education work experience in solving business and analytical problems using quantitative approaches, data analysis techniques for high volume data computation and processing, and SQL in the financial services industry or similar
- Data Management & Strategy
- Advanced problem-solving skills and ability to communicate complex ideas effectively, both verbally and in writing
- Data Architecture & Data Engineering
- Passion for the delivery of data technology solutions that deliver positive outcomes for customers, regulators and shareholders
- Good knowledge in at least one of our core capabilities of:
- Understanding of technology trends and implications on the FS industry, including digital drivers, cloud architecture & providers, integration tools & approaches, and artificial intelligence methods & techniques
- Knowledge of the common functions in a typical Data organisation
- Data Science & Information Analysis
- Previous FS experience in one of: Banking, Capital Markets, Insurance and Wealth and Asset Management
- Ideally some hands-on coding experience with SQL, Python or Scala
- Solution architecture (Business, Functional, Technical)