Job Details

Sr Risk Associate, Risk and Compliance Solutions

Job ID: 3070457 | Amazon Pay (India) Private Limited

Our vision is to make Amazon Pay as the most trusted, convenient and rewarding Payment Experience. Given the highly sensitive nature of Payments business, it is imperative to have robust Risk and Compliance function, to ensure adherence to regulatory compliance and risk management and that's where Risk and Compliance Solutions (RCS) fits in.

Risk and Compliance Solutions (RCS) is responsible for operational and compliance risk management for all functions within Amazon Pay. The function is responsible for setting strong operational risk management framework, risk identification, assessment and continuous monitoring framework. In addition, the function also manages key regulatory compliance functions such as regulatory reporting, Anti money laundering program, External Audit engagements, and Governances.

This role is for Sr Risk Analyst who will play a critical role in AML transaction monitoring process and will be responsible for review of escalated alerts and filing suspicious transaction reports with the reporting authorities. The incumbent will report directly to the Sr Risk Manager.

The Job will entail the following:

• Review of potential suspicious transactions and conducting deep dives
• Suspicious transaction reporting (STR) templatization for onward filing to regulators
• handling of inquiries received from regulators
• allocation and tracking of AML trainings
• managing customer risk categorization process
• tracking adherence to defined AML transaction monitoring process

Risk and Compliance continue to evolve and incumbent could be expected to work and manage new programs as per organizational priority.

BASIC QUALIFICATIONS

• Bachelor's degree
• Speak, write, and read fluently in English
• Experience with Microsoft Office products and applications
• Experience with Excel

PREFERRED QUALIFICATIONS

• Experience in regulatory compliance management with government agencies
• Experience in data-driven business operations processes
• SQL knowledge

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