VS01518 - AML Model Tester

E4 Software Services Pvt Ltd.

Bengaluru

On-site

INR 1,000,000 - 1,200,000

Full time

14 days+
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Job summary

A leading software services company in Bengaluru is seeking a Lead Tester for AML Model Testing. This role involves managing the design and execution of testing activities focused on AML systems, particularly Suspicious Activity Monitoring (SAM). The ideal candidate will have over 6 years of experience in software testing, with a strong background in financial crime systems, including model risk management and regulatory compliance. Skills in SQL, Python, and hands-on experience with statistical models are advantageous. This position requires strong analytical and mentoring skills.

Qualifications

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

Responsibilities

  • Oversee the design, execution, and management of model testing activities.
  • Ensure AML models are accurate, robust, and compliant with regulatory standards.
  • Detect suspicious activities effectively.

Skills

Software quality assurance
Financial crime systems
Model testing
Analytical skills
Problem-solving 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.
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