VS01518 - AML Model Tester

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

Job summary

A leading software firm in India is seeking a Lead Tester for AML Model Testing to manage testing activities and ensure compliance with regulatory standards. Candidates should have over 6 years of experience in software testing, with a strong focus on AML systems and transaction monitoring. The role involves leading a team and ensures effective detection of suspicious activities. Strong skills in SQL, Python, and AML concepts are essential for this position.

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 the design and execution of AML model testing activities.
• Ensure accuracy and compliance of AML models.
• Lead and mentor testing teams.

Skills

Experience in software quality assurance or testing

Experience in financial crime or AML systems

Strong understanding of AML concepts

Experience with SQL, Python, SAS, R

Analytical and problem-solving skills

Leadership and mentoring 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.