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The role involves conducting Independent Validation on AML Scenarios, performing complex statistical analysis, creating validation reports, and ensuring compliance with regulatory and governance policies. The analyst will use tools like SQL, Python, and SAS, and work in the Anti Money Laundering (AML) and Decision Management domain.
Job Responsibility:
Perform Independent Validation of AML Scenarios and reports
apply statistical methods to analyze and interpret data
present reports and recommendations to sponsors and stakeholders
write efficient SQL and PL/SQL queries in large-scale database environments
provide technical support and implement automation tools
prepare detailed and structured validation reports
use visualization techniques for clear presentations
conduct annual validation performance assessments
perform Above the Line testing
ensure data quality and reliability
distribute validation reports and consult stakeholders
respond to Internal Audit and Compliance Assurance team during audits
mentor junior staff.
Requirements:
Background in statistics and/or mathematics
experience with data analysis and/or data mining
fluency in English and very good oral and written communication skills
ability to read and create formal statistical documentation
experience and knowledge in banking, finance and/or AML (desirable)
good working knowledge of SAS, SQL, Hive, Python, PySpark, Impala, Excel & VBA
basic knowledge of Big Data / Hadoop architecture
basic knowledge of Segmentation, Clustering for statistically driven analyses
Null / Alternate Hypothesis related tests
strong Statistics and Data Analytics academic background
statistical Model lifecycle knowledge
experience in clear written and verbal reporting
understanding of technical requirements
organized, detail-oriented, flexible and adaptive
ability to work under supervision while maintaining independent thinking.
Nice to have:
Experience in banking, finance and/or AML
Mantas and AML monitoring systems experience
independent validation/audit experience
knowledge of some basic traditional models like Linear, Logistic, Time-series
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