Location: Dublin 2
Other locations: Primary Location Only
Salary: Competitive
Requisition ID: 1726157
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.
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.