VS01518 - AML Model Tester

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

Job summary

A technology solutions company is looking for a Lead Tester for AML Model Testing in Bengaluru, India. This role will oversee the design, execution, and management of model testing activities for Actimize AML systems. Candidates should have over 6 years in software quality assurance with strong knowledge in financial crime and AML systems. Proficiency in SQL, Python, and model testing is preferred. This position requires strong analytical and communication skills, along with experience in leading testing teams.

Qualifications

• 6+ years of experience in software quality assurance or testing.
• At least 3 years focused on financial crime or AML systems.
• Hands-on experience testing machine learning/statistical models preferred.

Responsibilities

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

Skills

Software quality assurance

Financial crime understanding

AML systems experience

Model risk management

Analytical skills

Communication skills

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.