VS01518 - AML Model Tester

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

Job summary

A financial services technology firm in Bengaluru is seeking a Lead Tester for AML Model Testing. This role focuses on the design and execution of model testing activities for Actimize AML systems. The ideal candidate will have over 6 years of experience in quality assurance with a specific focus on financial crime systems. Responsibilities include ensuring models meet regulatory standards and mentoring testing teams. If you're skilled in AML concepts and model testing, we encourage you to apply.

Qualifications

• 6+ years of experience in software quality assurance or testing.
• At least 3+ years focused on financial crime or AML systems.
• Prior experience in model testing for Actimize's SAM module.

Responsibilities

• Oversee design and execution of AML model testing activities.
• Ensure compliance with regulatory standards (e.g., BSA/AML).
• Lead and mentor testing teams.

Skills

Software quality assurance or testing

Financial crime or AML systems

Model testing for Actimize's SAM module

AML concepts and regulatory frameworks

Machine learning/statistical models

Testing methodologies

Analytical and problem-solving skills

Leading and mentoring teams

Tools

SQL

Python

SAS

R

Job description

Description:

Experience - 6+years

Job Summary:

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.