About this role
Financial Intelligence Officer II (Technical Capacity Development)
-Job Type Full Time -Qualification BA/BSc/HND -Experience -Location Nairobi -Job Field Data, Business Analysis and AI , Finance / Accounting / Audit , ICT / Computer
Education
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Academic - Bachelor’s degree in Accounting, (Bachelor’s degree in Accounting,)
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Academic - Bachelor’s degree in Economics, (Bachelor’s degree in Economics,)
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Academic - Bachelor’s degree in Commerce, (Bachelor’s degree in Commerce,)
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Academic - Bachelor’s degree in Criminology, (Bachelor’s degree in Criminology,)
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Academic - Bachelor’s degree in Statistics, (Bachelor’s degree in Statistics,)
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Academic - Bachelor’s degree in Law, (Bachelor’s degree in Law,)
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Academic - Bachelor’s degree in Security Studies, (Bachelor’s degree in Security Studies,)
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Academic - Bachelor’s degree in Data Science, (Bachelor’s degree in Data Science,)
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Academic - Bachelor’s degree in Data Analytics, (Bachelor’s degree in Data Analytics,)
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Academic - Bachelor’s degree in Education, (Bachelor’s degree in Education,)
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Academic - Bachelor’s degree in Social Science, (Bachelor’s degree in Social Science,)
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Academic - or equivalent qualifications, (or equivalent qualifications, )
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Academic - OTHER (Proficiency in computer applications. )
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Job Responsibilities
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Entering capacity development data into computer databases and organizing the same using appropriate computer applications and tools
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Resolving data discrepancies and problems with source systems or formats that prevent the data from being analyzed effectively
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Conducting preliminary data analysis to facilitate communication of outcomes of feedback process, training needs and impact assessment, among others, and compiling preliminary reports on the findings
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Taking notes during capacity development activities and drafting relevant reports
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Updating databases of the department
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Identifying and mitigating departmental risks
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Entering capacity development data into computer databases and organizing the same using appropriate computer applications and tools
-
Resolving data discrepancies and problems with source systems or formats that prevent the data from being analyzed effectively
-
Conducting preliminary data analysis to facilitate communication of outcomes of feedback process, training needs and impact assessment, among others, and compiling preliminary reports on the findings
-
Taking notes during capacity development activities and drafting relevant reports
-
Updating databases of the department
-
Identifying and mitigating departmental risks
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