Transaction Monitoring Functional SME

Infosys; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys is seeking an experienced AML professional to lead transaction monitoring programs and analyst workflows. You will tune scenarios, reduce false positives, and drive productivity analytics while ensuring QA sampling and rigorous reviews.

You will bridge domain, product, AI, data and engineering teams, participating in demos, UAT and comprehensive functional documentation in an agile environment.

Qualifications

• Minimum 10 years of experience in AML transaction monitoring or related compliance roles.
• Strong understanding of transaction monitoring lifecycle and alert triage.
• Experience defining business requirements, testing scenarios, risk signals and acceptance criteria for tech teams.
• Ability to validate AI-assisted recommendations and summaries for compliance.

Responsibilities

• Oversee AML transaction monitoring programs and analyst workflows.
• Tune scenarios and reduce false positives to improve productivity.
• Lead QA sampling and ensure QA reviews are rigorous and compliant.
• Collaborate with product, AI, data and engineering teams and participate in demos, UAT and documentation.

Skills

AML domain experience

Scenario tuning

False-positive reduction

QA sampling

Alert optimization

Cross-functional collaboration

Agile product development

UAT and functional docs

Education

CAMS

CFCS

Tools

Actimise

Verafin

Oracle FCCM

SAS AML

FICO

Feedzai

Unit21

ComplyAdvantage

Job description

Experience with Actimise, Verafin, Oracle FCCM, SAS AML, FICO, Feedzai, Unit21, ComplyAdvantage or similar platforms. Experience with scenario tuning, false-positive reduction, QA sampling, productivity analytics or alert optimization initiatives. Certifications such as CAMS, CFCS or equivalent are preferred.

Minimum 10 years of experience in AML transaction monitoring, financial crime operations, alert investigation, scenario tuning, case management or related compliance roles. Strong understanding of transaction monitoring lifecycle, alert triage, scenario behavior, false positives, investigation evidence and QA review practices. Ability to define business requirements, test scenarios, risk signals, reason codes and functional acceptance criteria for technology teams. Experience working with transaction monitoring or AML platforms and analyst/reviewer workflows. Strong ability to validate AI-assisted recommendations, explanations and summaries for completeness and compliance appropriateness. Good communication skills to bridge domain, product, AI, data and engineering teams. Ability to operate in agile product development and contribute to demos, UAT and functional documentation.