Associate – Financial Crime Systems

ACE Money Transfer; Punjab; Sur place; PKR 900 000 - 1 500 000; Plein temps

Résumé du poste

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, working closely with Product, Development, and Operations teams.

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

Qualifications

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

Responsabilités

• 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.

Connaissances

Problem-solving

Adaptability

Collaboration

Communication

Formation

Bachelor's degree

Outils

JIRA

Confluence

Python

SQL

Excel

Description du poste

Job title:

Associate – Financial Crime Systems

Job Summary:

ACE Money Transfer is seeking an Associate – Financial Crime Systems to support the delivery, testing, and enhancement of financial crime technology platforms. This role is centered on system validation, data analysis, and change delivery, working closely with Product, Development, and Operations teams.
The ideal candidate will have experience with enterprise systems, UAT, and data-driven platforms, along with exposure to rules-based and AI/ML-driven financial crime detection models.

Duties & Job 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.

Education:

Bachelor’s degree in Computer Science, Engineering, Information Systems, Finance, or a related field.

Experience:

2–3 years of experience in financial services technology, enterprise systems, or delivery/testing roles.

Behavioural Skills:

• Problem-Solving: Strong analytical approach to identifying and resolving system issues.
• Adaptability: Ability to work in a fast-paced, evolving environment.
• Collaboration: Effective team player across technology and business functions.
• Communication: Clear and structured verbal and written communication.

Competencies:

Financial Crime Systems:

Working knowledge of AML / Transaction Monitoring / Screening systems from a technology and data perspective. (Strong Plus)

Testing & Delivery:

Hands-on experience with UAT, system testing, and pre-production validation.

Data Analysis:

Ability to work with Python, SQL, Excel, or similar tools for data validation and analysis.

AI / Model Exposure:

Exposure to AI/ML or analytical models, including understanding of inputs, outputs, and performance impacts.

Tools & Methodologies:

• Familiarity with software feature testing practices.
• Experience with JIRA, Confluence, or similar tools.
• Exposure to FinCrime systems is a plus.

About ACE Money Transfer:

ACE Money Transfer is a UK-based multinational fintech headquartered in
Manchester, United Kingdom. We provide fast, secure and affordable online remittance services to customers in 29 countries across the UK, Europe, Canada and Australia, and we enable cross-border money transfers to 100+ countries worldwide. Every day, our platform helps people support their families, pay for education and build better futures across borders. As part of the wider ACE Group, we combine a fast-paced growth culture with strong regulatory standards and a commitment to innovation in digital payments. At ACE you will work with talented, diverse teams across multiple regions and take real ownership of work that matters. You will also help shape the future of global money movement.

ACE Money Transfer Profile: https://acemoneytransfer.com/company-profile