Citigroup - Jacksonville, FL
posted 5 months ago
The Fraud Intelligence Lead Analyst/Data Engineer position is a critical role within the Internal Fraud Intelligence team at Citi. This role is designed for a professional who will lead internal fraud analytics across North America (NAM), engaging and collaborating with various business, fraud, and control stakeholders. The primary focus is to utilize advanced analytics to proactively identify fraud risks and trends, ensuring the integrity and quality of internal fraud detection data. The successful candidate will work closely with technology teams to implement the appropriate analytics platform, data structure, pipeline, and transformation processes within the Citi Bigdata ecosystem. In this role, the analyst will extract knowledge and insights from data to design complex internal fraud detection solutions. This involves employing a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition, and machine learning. Key skills required for this position include association rule learning, cluster analysis, anomaly detection, and proficiency in data visualization tools such as PowerBI, Qlik, and Tableau, as well as programming languages like Python, Spark, and SAS. The analyst will serve as the regional analytics point person for stakeholder management and communication, which includes participating in regional assurance reviews such as Internal/External Audit reviews and Compliance Assurance reviews. Additionally, the role supports the Internal Fraud Governance team in designing and executing analytical processes, including change management initiatives. The position requires flexibility to attend meetings outside of normal business hours, reflecting the dynamic nature of the work and the need for collaboration across different time zones.