Prepare and validate data, and then build and validate a scoring model using logistic regression or alternative quantitative/machine learning methods; Conduct data-driven analysis and create reports. 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. Question and validate assumptions. 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
Requirements:
3+ Years of relevant experience in strong statistical academic background, knowledge of quantitative methods, including predictive modeling techniques; Experience in creating and assessing Statistical Models; Highly-skilled and good working knowledge of Python/SAS & MS Office Suite; Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls; Team working experience (demonstrated team player ability required)
Text:
VP, Senior AML Expert Statistician Officer Prepare and validate data, and then build and validate a scoring model using logistic regression or alternative quantitative/machine learning methods; Conduct data-driven analysis and create reports. 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. Question and validate assumptions. 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 3+ Years of relevant experience in strong statistical academic background, knowledge of quantitative methods, including predictive modeling techniques; Experience in creating and assessing Statistical Models; Highly-skilled and good working knowledge of Python/SAS & MS Office Suite; Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls; Team working experience (demonstrated team player ability required)
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