AI and Data-Fraud Data Analyst-VG-W6-ES and F0121

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Technology Consulting Title: Specialist II, Fraud Data Analyst EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, youll work with technologists and business experts, blending EYs deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, youll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact. EY Technology: Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization. EY Technology supports our technology needs through three business units: Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly. Enterprise Workplace Technology (EWT) EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience. Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems. The opportunity The Data Analyst, Specialist is responsible for leveraging data-driven insights to support strategic business decisions and improve operational efficiency. This role involves structuring complex business requests into well-defined analytical projects, extracting and analyzing large datasets from multiple sources and developing automated reporting solutions to enhance data accessibility and decision-making. Your key responsibilities Engage with internal stakeholders to understand business objectives, translate requirements into analytical projects, and drive end-to-end execution with structured problem-solving. Gather, clean and validate structured and unstructured datasets from multiple sources, ensuring accuracy, completeness and consistency in data processing. Perform deep-dive analysis and statistical modeling to identify trends, correlations and business drivers, enabling data-backed decision-making. Design and develop visually compelling dashboards and reports using Power BI, Tableau, or similar tools to simplify complex data for business users. Automate recurring reporting and analytics workflows using SQL and Python, reducing manual efforts and improving data accessibility. Implement predictive models, clustering techniques and forecasting algorithms to support business strategy, risk assessment and operational planning. Work closely with data engineers, IT teams and business stakeholders to enhance data architecture, ensuring seamless data integration and availability. Validate, optimize and standardize analytical methodologies, ensuring accuracy, efficiency and best practices in data analysis. Mentor, train and provide guidance to junior analysts, fostering a culture of knowledge sharing and continuous learning within the analytics team. Develop and manage AWS data pipelines (Lambda, S3, Glue, Step Functions, EventBridge) that process fraudrelated datasets at scale. Write production-quality code following best practices for testing, documentation, version control, CI/CD, and secure handling of fraud and transaction data. Create Python-based visualizations (Plotly, Matplotlib At EY,