VS01518 - AML Model Tester

E4 Software Services Pvt Ltd.; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading financial solutions provider in Bengaluru is seeking a Lead Tester for AML Model Testing. The successful candidate will oversee the design and execution of model testing activities focused on AML systems, ensuring compliance and detection of suspicious activities. Applicants should have over 6 years in software quality assurance, with specific experience in financial crime systems. Strong analytical skills and the ability to lead teams are essential for this role.

Qualifications

• 6+ years of experience in software quality assurance or testing, with at least 3+ years focused on financial crime or AML systems.
• Prior experience in performing Model testing for Actimize's Suspicious Activity Monitoring (SAM) module.
• Hands-on experience testing machine learning/statistical models preferred.

Responsibilities

• Oversee the design, execution, and management of model testing activities.
• Ensure AML models are accurate, robust, and compliant with regulatory standards.
• Lead and mentor testing teams throughout project execution.

Skills

Software quality assurance

Financial crime systems

AML concepts

Analytical skills

Leadership and mentoring

Tools

SQL

Python

SAS

R

Job description

The Lead Tester for AML (Anti-Money Laundering) Model Testing is responsible for overseeing the design, execution, and management of model testing activities focused on Actimize AML systems especially Suspicious Activity Monitoring (SAM). This role ensures AML models are accurate, robust, compliant with regulatory standards (such as BSA/AML), and effectively detect suspicious activities.

Skills

• 6+ years of experience in software quality assurance or testing, with at least 3+ years focused on financial crime or AML systems.
• Prior experience in performing Model testing for Actimize's Suspicious Activity Monitoring (SAM) module.
• Strong understanding of AML concepts, transaction monitoring, model risk management, and regulatory frameworks (e.g., FFIEC, OCC, FATF).
• Hands‑on experience testing machine learning/statistical models preferred; experience with relevant tools (e.g., SQL, Python, SAS, R).
• Solid knowledge of SDLC, model lifecycle, and testing methodologies.
• Strong analytical, problem‑solving, and communication skills.
• Experience in leading and mentoring testing teams.