Senior AML Transaction Monitoring & Data Quality Lead

Mashreq; Karachi Division; On-site; PKR 1,200,000 - 2,000,000; Full time

Job summary

Mashreq is seeking a skilled AML Transaction Monitoring Data Quality Specialist to support the TM Data Quality Management Framework and ensure TM data integrity. The role involves collaboration with Compliance, Technology, Data Management and vendors to optimize data health and monitoring accuracy.

You will contribute to rule validation, alert performance assessment and ongoing improvements to the TM platform, aiming to align with regulatory expectations and minimize data gaps.

Qualifications

• Bachelor's/Master's degree in Engineering, Mathematics, Statistics or related field.
• Knowledge of AML laws and regulations.
• Subject Matter Expert in AML Transaction Monitoring across multiple banking lines.
• Experience with AML models tuning and optimization.
• Experience with Python data science libraries.

Responsibilities

• Support TM Data Quality Management Framework and related compliance activities.
• Perform data quality reviews using automated dashboards and validation rules.
• Validate ETL processes, data mappings and data quality reports.
• Coordinate with Compliance, Technology and Data teams to optimize TM data health.
• Assist with regulatory reviews and ad-hoc data extracts for investigations.

Skills

Python

SQL

Data quality

AML monitoring

ETL

Data governance

Education

Bachelor's/Master's in Engineering, Mathematics, Statistics or related field

Tools

SAS-AML

SAS EG

SAS VIYA

Job description

Mashreq is seeking a skilled AML Transaction Monitoring Data Quality Specialist to support the TM Data Quality Management Framework and ensure TM data integrity. The role involves collaboration with Compliance, Technology, Data Management and vendors to optimize data health and monitoring accuracy.

You will contribute to rule validation, alert performance assessment and ongoing improvements to the TM platform, aiming to align with regulatory expectations and minimize data gaps.