VS01518 - AML Model Tester

E4 Software Services Pvt Ltd.

Bengaluru

On-site

INR 1,500,000 - 2,000,000

Full time

14 days+

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Job summary

A software services company is seeking a Lead Tester for AML Model Testing in Bengaluru, India. The successful candidate will oversee design and execution of model testing activities, ensuring that AML models are accurate and comply with regulatory standards. The role requires 6+ years of experience in software quality assurance, particularly in financial crime or AML systems, with hands-on knowledge of relevant tools such as SQL and Python. Strong analytical and communication skills are essential for this position.

Qualifications

  • 6+ years of experience in software quality assurance or testing, focusing on financial crime or AML systems.
  • Prior experience in performing model testing for Actimize's SAM module.
  • Strong understanding of AML concepts and regulatory frameworks.

Responsibilities

  • Overseeing the design, execution, and management of model testing activities.
  • Ensuring AML models are accurate, robust, and compliant with regulatory standards.
  • Detecting suspicious activities effectively.

Skills

Software quality assurance
Financial crime systems
AML systems
Analytical skills
Communication skills
Problem-solving 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.
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