MasterCard is currently seeking an experienced Senior Analyst for Compliance Services in Pune. The Senior Analyst will assist the FIU in conducting AML-related tasks as part of the customer monitoring and investigation process. This role will require knowledge and skills in AML/CFT practices and data analysis, including extracting and preparing data, performing research and root cause analysis, assessing risk factors, drawing conclusions, and completing other assigned compliance activities. The Senior Analyst will work under general supervision.
Job Description
The following are the main tasks and responsibilities for the position of conducting AML transaction monitoring and investigations:
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Conduct AML transaction monitoring and ad-hoc investigations and research using data analytics and in-depth data analysis across different regions and countries.
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Utilize Mastercard resources, such as system software, reports, data warehouse tables, and system applications to perform accurate data queries.
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Use data mining techniques to identify behavioral patterns, relationships, and significant insights found in large data sets.
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Summarize and document data analysis activity patterns and trends to detect potential red flags.
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Demonstrate proficient manipulation of data using tools such as Microsoft Excel.
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Maintain a high degree of professional competence in the area of Financial Crimes investigations through self-study, webinars, seminars, professional organizations, and other internal or external training.
Qualifications for this Job
The following are the requirements and qualifications for the position:
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A Bachelor’s degree or equivalent experience in banking or financial operations, payments industry, risk management, or compliance-related field is required.
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One to three years of transaction monitoring or data analysis experience is required.
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A strong understanding of AML, BSA, the USA PATRIOT Act, and OFAC controls and requirements is essential.
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ACAMS Certification is preferred.
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Advanced Microsoft Excel knowledge is required.
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Understanding of basic coding concepts and methodologies to extract, clean, manipulate and summarize data.
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Understanding of Structure Query Language (SQL) or similar programming languages, including modifying existing SQL scripts to extract data pertaining to a specific investigation.
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Demonstrated ability to analyze large, complex data sets; use external resources to arrive at conclusions; and creatively identify trends in data.
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