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Job Description
Conducting data analysis, validation and compilation of data with a purpose to provide facts for management and operations about how AML/fraud processes are performing and to ensure accurate decision-making process. Use different statistical methods and tools (SQL, R, Python) to analyze effectiveness of AML scenarios/framework/model Process and cleanse semi-structured or unstructured data Perform data, transactional and trend analysis from multiple sources and build visualisation dashboard/generate reports for various stakeholders Collaborate with EmB compliance teams to improve monitoring performance Qualifications Bachelor\'s Degree in Data Science, Statistics, Mathematics or equivalent experience AML transaction monitoring/KYC/Watchlist/Fraud related knowledge is required. 3 years + working experience in SQL and/or R, Python. Experience in data analysis and ability to assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems is a plus Detail oriented, analytical and with good problem-solving skills. Commercial acumen supported by a data driven mindset.
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Job Detail
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Job IdJD1029659
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationMalaysia, Malaysia
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EducationNot mentioned