GENERAL INFORMATION

Location: Dublin
Available for VISA Sponsorship: YES
Business Area: Data & Analytics
Contract Type: Full Time - Permanent
EY is the only major professional services firm with an integrated Financial Services practice across Europe, the Middle East, India, and Africa (EMEIA). We connect our Asset Management, Banking and Capital Markets and Insurance clients to 6,500 talented people from 12 countries and 35,000 Financial Services colleagues around the world.
In EY FS Ireland, we are expanding our Consulting practice and building our Technology Consulting team as a key component of our NextWave Strategy. NextWave is EY’s global strategy and ambition to deliver long-term value to clients, people, and society. It is inspired by the way innovations spread through society. We are actively recruiting high achieving individuals with AI and Data expertise in data-enabled transformation projects/ programmes within Financial Services: Banking, Insurance and Wealth and Asset management.
We are seeking an experienced Data Consultant with a strong background in managing data for Finance and Risk functions, including experience in data governance, processing, storage, quality management and remediation for financial, risk and regulatory change projects, understanding of data compliance requirements, hands on knowledge of relevant systems and tools, and awareness of current industry trends and best practices. The ideal candidate will have consulting experience working for Financial Services clients in Ireland or UK, functional understanding of data sets used in the relevant domains, as well as technical skills such as data modelling and warehousing, database technologies, ETL processing and tools, and proficiency in SQL.

YOUR KEY RESPONSIBILITIES:

• Collaborate with IT and business teams to understand business and technical requirements in order to identify, prioritise and document data management requirements for risk, finance or/ and regulatory change.
• Conduct thorough analysis of existing data management processes and systems, identifying areas for improvement and integration with new or improved risk, finance, or regulatory solutions.
• Analyse and conduct gap analysis in existing data management processes and lifecycle to identify impact areas and design solution options.
• Develop and implement data management solutions to support the implementation of risk, finance or / and regulatory technology and reporting changes, while ensuring internal and external data compliance. Understand impact of regulatory requirements on data solutions, such as BCBS239 principles.
• Monitor data quality and integrity throughout the transformation process, implementing controls and fixes as needed and maintaining compliance with the organisation’s Data Governance and Data Management policies and procedures.
• Implement Data Lineage process improvements and maintain documentation to trace data from source to report. Conduct data lineage gap analysis and provide insights on existing systems, technology, and recommended improvements.
• Provide technical expertise and support for data-related issues, including troubleshooting and resolving data integrity problems.
• Serve as a liaison between business stakeholders, technical and data teams, ensuring clear communication and understanding of data lifecycle requirements, challenges, and objectives.
• Support the design and implementation of risk, finance and/ or regulatory solutions with data lifecycle expertise, ensuring alignment with business goals and compliance with internal and external policies, procedures, and regulations.
• Conduct research and coordinate insights sessions in the selection and implementation of new data technologies, tools and systems for Finance and Risk Domains.
• Provide training and documentation to end-users to ensure successful use and adoption of available data management assets.

TO QUALIFY FOR THE ROLE, YOU MUST HAVE:

• Bachelor’s degree in Information Technology, Computer Science, Statistics, Mathematics/ Applied Mathematics, Quantitative Economics, Engineering, Finance, Economics, Business Administration, or equivalent professional education.
• Relevant work experience in client-facing data governance, data management, data engineering or data change delivery roles.
• Knowledge of data management frameworks, processes, compliance requirements, and impact of relevant regulations on data lifecycle (e.g. BCBS239 in banking).
• Minimum of 4 years of experience with a blue-chip consulting firm as a Data Consultant with a focus on finance, risk, and regulatory projects.
• Experience working with Financial Services clients (Banking, Insurance or Wealth and Asset Management).
• Familiarity with Finance, Risk or/ and Regulatory Reporting domains in Financial Services industry.
• Experience working with a selection of data tools and languages relevant to your specialism, e.g. Database Management Systems (DBMS) such as Oracle, Microsoft SQL Server, MySQL, and PostgreSQL; Data governance and metadata management tools like Collibra, Alation, and Informatica Axon; ETL tools like Informatica or Talend, Teradata, Oracle, IBM Bd2 etc, Collibra, Alteryx; AWS, Azure, Python, R. Advanced Excel, and SQL expertise are a must.
• Knowledge of data quality tools to assess, improve, and monitor the quality of data.
• Knowledge of version control systems such as Git for managing changes to code and data models.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication and interpersonal skills, with the ability to engage effectively with both technical and non-technical stakeholders.
• Ability to craft clear and professional PowerPoint presentations that effectively communicate complex data and insights.
• Team centric mindset, always ready support their colleagues and not afraid to ask for help when needed.
• Understanding and respect for client and team deadlines, great organisation skills and ability to organise and prioritise own work to achieve the delivery objectives.