VS01518 - AML Model Tester

E4 Software Services Pvt Ltd.; Bengaluru; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

A software development company in Bengaluru is seeking a Lead Tester for AML Model Testing. The role focuses on overseeing design, execution, and management of model testing activities for AML systems, ensuring compliance with regulations. The ideal candidate has over 6 years of experience in software testing, particularly in financial crime systems, and must possess hands-on experience with relevant tools like SQL and Python. Strong analytical and leadership skills are essential.

Qualifications

• 6+ years of experience in software quality assurance or testing, with at least 3+ years in AML systems.
• Experience in performing Model testing for Actimize's SAM module.
• Hands-on experience testing machine learning/statistical models preferred.

Responsibilities

• Oversee the design, execution, and management of model testing activities focused on AML systems.
• Ensure AML models are accurate, robust, and compliant with regulatory standards.
• Effectively detect suspicious activities through model testing.

Skills

Software quality assurance

Financial crime systems testing

AML concepts

Model risk management

Good 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.