Job Description: The AML Statistician will follow the globally consistent methodology, but is expected to have a high level of initiative and creativity and suggest enhancements to the current methodologies. Requirements include a background in statistics and/or mathematics (including experience in predictive modeling), preferably also experience with data analysis and/or data mining. Experience and knowledge in banking and finance will be desirable, as well as the ability to read and create formal statistical documentation. Job Responsibilities: Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration. Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs. Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary. Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Escalate identified risks and sensitive areas in terms of methodology and processes. Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection and Monitoring Operations. Prepare and validate data, and then build and validate a scoring model using logistic regression or alternative quantitative methods. Job Requirements: Initiative, creativity and attention to detail are essential Methodical analysis and problem-solving skills Ability to work under close supervision of a functional team manager, while preserving independence of thinking and responsibility for the results. Statistical/data analytical skills - including both calculation and interpretation of outcome Highly-skilled and good working knowledge of SAS, R, & MS Office Suite. Experience in creating and assessing Statistical Models Strong statistical academic background, knowledge of quantitative methods, including predictive modeling techniques Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls Job Details: Company: Citi Vacancy Type: Full Time Job Location: Tampa, FL, US Application Deadline: N/A Apply Here vacanciesforyou.net
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