Citi Group Model/Analysis/Validation Officer 

United States, Florida, Tampa 

931176581

Duties: Conduct analysis across segmentation, threshold tuning, statistical modeling, and validation, focusing on creating quantitative algorithms for Anti- Money Laundering (AML) Compliance. Apply quantitative and qualitative data analysis methods using SQL, SAS, R, Python, and PySpark to extract, transform, and analyze data. Develop quantitative Anti-Money Laundering (AML) Risk Models based on a well-defined methodology that is consistently applied at a global level to ensure Citi is compliant with OCC (Office of Comptroller of the Currency) mandates related to Anti-Money Laundering and to protect its customers from AML risk. Perform statistical analyses of the data and translate quantitative results into presentation materials and assess projections for accuracy against other quantitative results. Build scoring models using analytical tools and quantitative methodologies, including computerized simulations. Interact with other Financial Crime Analytics and Data Science regional teams, Detection Risk Coverage teams, Independent Validation & Audit teams, and various Technology groups to address data issues and implement improvements to AML models and Threshold settings. Perform data analyses and risk analyses. Improve AML models & thresholds coverage for various Lines of Business. Gain an understanding of Citi’s AML prevention systems, methodology, process flows, data definitions, and procedures. Prepare statistical and non-statistical data exploration reports and validate data to identify data quality issues. Define data requirements and validate information, applying judgment and statistical tests. Identify relationship and trends in data, question and validate assumptions, and escalate identified methodology and process risks. Familiarize with Citi’s methods and practices to perform the required statistical analyses. Assist senior-level risk managers to utilize statistical analysis to support decision making. Perform statistical analyses for the ultimate purpose of identifying money laundering risks for presentation to senior management. Validate hypothesis to assist decision making. Suggest on-going improvements for the overall effectiveness of money laundering identification. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements: Bachelor’s degree or foreign equivalent, in Statistics, Data Science, Business Analytics, or related quantitative field and five (5) years of experience in the job offered or a related IT or quantitative occupation performing quantitative and qualitative data analysis within the financial, IT consulting, or data services industry. Five (5) years of experience must include: Conducting statistical data analysis and building data models using tools including SAS, SQL, Python, Hive, and MS Excel; Understanding technical, functional, and business data requirements to perform data quality analysis and requirement analysis for project development; Communicating with different stakeholders including business, risk management, technology, and data units to collaborate on developing solutions and sharing results; Utilizing relational databases including Oracle and MySQL to fetch data from various data sources for analysis; Utilizing Business Intelligence Tools for dashboard creation; Reviewing reporting results, creating reusable business documents, and presenting in meetings using tools including Tableau, MS Excel, and PowerPoint; Performing validation and quality testing techniques using HP ALM; and Developing and monitoring metrics including KPIs to identify potential issues and areas of improvement. In the alternative, employer will accept a Master’s degree and three (3) years of experience. Employer will accept pre- or post- Master’s degree experience. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID #25834231. EO Employer.

Wage Range: $121,783.26.00 to $160,000.00

Anticipated Posting Close Date:

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