Business Analytics Lead Analyst

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 keepa 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.

Wage Range: $151,300 to $172,300

Job Family Group: Decision Management

Job Family: Business Analysis

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In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review .

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