Lead technical forensic and financial crime engagements focusing on data modeling, systems implementation, and advanced analytics for financial sector clients.
As a Manager in Forensic and Financial Crime, you will lead the technical implementation of financial crime systems and oversee complex data analytics projects. You will manage the entire project lifecycle, from planning and data modeling to ETL processes and system integration. You will collaborate with stakeholders to mitigate risks, ensure technical solutions align with standards, and provide actionable insights through advanced data analysis, supporting investigations and regulatory compliance for financial services clients.
Undergraduate degree in Computer Science, IT, Engineering, or Data Analytics.
At least 6 to 8 years of experience in data modelling and systems implementation.
Minimum 1 to 2 years in a technical lead role for financial crime systems in banking.
Fluency in SQL, Python, R, or Hive and experience with RDMS like Oracle or MSSQL.
Proficiency in ETL tools (SSIS, DataStage) and visualization tools (Tableau, Power BI).
Deep understanding of AML/CFT, fraud detection, and sanctions screening.
Strong analytical skills with the ability to present to senior non-technical executives.
Experience with project management methodologies and tools like JIRA or Azure DevOps.
Company
—
Location
Kuala Lumpur
Salary
Undisclosed
Skills Required
18 skills
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SQL
R
Python
Hive
SAS
Oracle
MSSQL
Postgresql
ETL
SSIS
Datastage
SSRS
Tableau
Power BI
AML
CFT
Project Management
Data Modeling