Citibank, N.A. seeks a Business Analytics Lead Analyst for its Wilmington, Delaware location. Duties: Manage fraud analytics and execute pertinent strategies in support of Citi’s North American and global credit card businesses. Use SAS Studio and SQL to query and leverage data to identify fraud trends. Design and implement strategies to prevent and mitigate the fraud attacks across different areas, including application fraud, account takeover, and other sophisticated new attack schemes. Partner closely with Fraud Policy, Operations, and various other partners to keep apprised of business and technology direction and to determine potential and existing fraud impacts. Use in-depth knowledge of programming languages, including SAS, SQL and Python, to execute the fraud strategies in production environment, which requires coding, testing, implementation, and post-implementation validation. Use domain knowledge to effectively execute the fraud mitigation strategies, build automated reporting and visualizations and conduct complex data analysis. Train and mentor junior team members on critical domain knowledge related to fraud mitigation processes. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Bachelor ‘s degree, or foreign equivalent, in Computer Engineering, Information Systems, Statistics, or related field and 5 years of progressive, post-baccalaureate experience as a Software Engineer, Application Development Analyst, Fraud Risk Analyst, Business Analytics Analyst, Business Analytics Manager, or related position involving development and implementation of business software solutions. Must have experience with: Base and Advanced SAS programming including constructs like Macros & Proc SQL, for data extracting, cleaning, manipulation and performing complex system simulation. Data sources like Fiserv Falcon data files, Broadcom ARCOT Reporting, SQL Server Tables, Teradata, Fiserv First Track data files. Broadcom ARCOT, DefenseEdge, SAS Fraud Management, Fiserv Trauma Rules, Fiserv Provisioning Plus, Angoss Knowledge Studio Workstation. Data visualization and report generation using SQL, SAS, Excel Pivots, Hive, Impala and Tableau. SQL techniques like Joins, Complex Query, Common Table Expression. Domain Knowledge of Credit Card Fraud Detection, Retail Credit Cards transactional processing, understanding of Financial Systems and Regulatory Knowledge. Problem Solving, Probability and statistics, Exploratory Data Analysis, Feature Engineering, Model Validation, Predictive analytics techniques like decision trees and logistic regression. Report migrations and SDLC (Software Development Life Cycle) methodologies. Applicants submit resumes at Please reference Job ID #25842226. EO Employer.
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