American Express Recruitment Drive; Hiring Risk Management Analyst – Apply Now

Analyst – Risk Management Job Openings in Gurgaon 2026!!!

American Express announced job vacancy for the post of Analyst – Risk Management. The place of posting will be at Gurgaon (Hybrid). Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	American Express
Required Qualifications	Graduate
Skills	Strong analytical and problem-solving skills
Category	Risk
Work Type	Hybrid
Closing Date	6th August 2026

Global Merchant & Network Services (GMNS) brings together American Express' merchant-and network related businesses to enable a sharp focus on using the power of their network to provide unique value to all their mutual customers. The organization manages the relationships with the millions of merchants around the world that accepts American Express and runs the company’s payment network and manages bank partnerships globally.

Job Details

Θ Positions: Analyst – Risk Management

Θ Job Location: Gurgaon (Hybrid)

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 26011274

Roles and Responsibilities:

The Analyst, Due Diligence Operations based in Gurugram will be responsible for performing quality reviews of due diligence cases to ensure completeness, accuracy, and adherence to established policies, procedures, and regulatory requirements. The principal responsibilities of this position include:

• Conducting quality control reviews of completed due diligence cases to ensure accuracy, completeness, and adherence to established policies and procedures.
• Performing in-line corrections and identifying documentation, process, or control gaps to ensure high-quality and audit-ready case files.
• Developing feedback, reporting, and quality insights to strengthen controls, improve consistency, and support continuous process improvement across Due Diligence Operations.
• Reviewing due diligence documentation, screening results, risk assessments, and supporting evidence to validate the accuracy and appropriateness of case outcomes.
• Partnering with Due Diligence Operations, Compliance, and Risk stakeholders to resolve quality findings and support timely case closure.
• Ensuring quality control activities are completed within established service level agreements while maintaining adherence to regulatory requirements and enterprise standards

Required Skills & Qualifications:

• Understanding of AML/KYC principles, due diligence processes, sanctions screening, and financial crime risk management concepts.
• Strong analytical and problem-solving skills with the ability to identify gaps, assess risks, and evaluate case quality.
• Strong attention to detail and ability to review documentation with a high degree of accuracy.
• Ability to effectively document observations, provide constructive feedback, and support process improvements.
• Strong organizational, communication, and interpersonal skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Proficiency in Microsoft Office applications, including Excel, Word, and PowerPoint.

Preferred Qualifications:

• Working knowledge of SQL for querying, validating, and analyzing operational and quality data to identify trends, exceptions, and improvement opportunities.
• Experience with Power BI (or similar business intelligence and visualization tools) to develop dashboards, monitor quality metrics, and generate actionable insights for stakeholders.
• Familiarity with data analysis and reporting tools, including advanced Microsoft Excel (Pivot Tables, Power Query, Lookup functions) and SharePoint, to support quality reporting, governance, and continuous process improvement.
• Exposure to automation and workflow tools (e.g., Power Automate, Alteryx, Tableau, or similar platforms) is an added advantage.
• Familiarity with Generative AI (GenAI) tools and applications, with the ability to leverage AI-assisted solutions to enhance productivity, improve reporting, streamline quality processes, and drive operational efficiencies while adhering to enterprise governance and data security standards.

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Disclaimer:

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