Associate – Financial Crime Systems: Testing & Data

ACE MONEY TRANSFER LIMITED; Pakistan; On-site; PKR 1,200,000 - 2,400,000; Full time

Job summary

ACE Money Transfer Limited is seeking an Associate – Financial Crime Systems to support the delivery, testing, and enhancement of financial crime technology platforms. The role focuses on system validation, data analysis, and change delivery, collaborating with Product, Development, and Operations teams.

The ideal candidate has experience with enterprise systems, UAT, and data-driven platforms, with exposure to rules-based and AI/ML-driven financial crime detection models.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Finance, or a related field.
• 2–3 years of experience in financial services technology, enterprise systems, or delivery/testing roles.
• Experience with UAT, testing, and validation of data-driven platforms.

Responsibilities

• Support financial crime systems including transaction monitoring, screening, and case management platforms.
• Participate in UAT, regression testing, and pre-production validation for system changes and releases.
• Validate business and functional requirements against system behavior and outcomes.
• Assist with testing of rules, thresholds, workflows, and alerting logic.
• Perform data validation and reconciliation to ensure accuracy of system inputs and outputs.
• Support testing and validation of AI/ML and analytical models, including scenario and threshold changes.
• Collaborate with Product, Development, and vendor teams to manage defects and delivery timelines.
• Maintain testing, release, and system documentation.

Skills

Problem solving

Adaptability

Collaboration

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, Finance

Tools

JIRA

Confluence

Python

SQL

Job description

ACE Money Transfer Limited is seeking an Associate – Financial Crime Systems to support the delivery, testing, and enhancement of financial crime technology platforms. The role focuses on system validation, data analysis, and change delivery, collaborating with Product, Development, and Operations teams.

The ideal candidate has experience with enterprise systems, UAT, and data-driven platforms, with exposure to rules-based and AI/ML-driven financial crime detection models.