American Express Hiring Analyst Risk Management | Apply Now

American Express Hiring Analyst Risk Management: Using its official portal, American Express announces a recruitment for anyone with any degree. Job seekers who are interested can read this job post to learn more about American Express Hiring 2024 and apply using the registration link at the end of the post to the American Express Off Campus Recruitment Drive 2024. More information on American Express Careers Off Campus Drive 2024 Pattern 2024, Eligibility Requirements, and Details is covered below.

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About American Express

The American Express Company (Amex) is a global financial services business and bank holding company based in the United States that specialises in payment cards. Its headquarters are located in Lower Manhattan’s Battery Park City neighbourhood at 200 Vesey Street, popularly referred to as the American Express Tower. The main classification scheme for AMEX cards is Green, Gold, Platinum, and Black (Centurion), where a higher rank corresponds to a greater priority level.

American Express Hiring Analyst Risk Management Details

Job Role: Analyst-Risk Management

Company Website: www.americanexpress.com

Degree: Any Graduate Degree /Post Graduate

Batch: Recent Batches

Experience: 0 to 2 Years

Salary: Best in Industry

Location: Gurgaon, Haryana, India

Last Date: ASAP

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Roles & Responsibilities

• Work along with the appropriate teams to monitor the use of models and non-model tools, and carry out reviews to determine whether the inventory is comprehensive.
• Verify that model risk-related reports follow the proper quality standards by conducting quality assurance (QA).
• Determine QA problems and investigate the underlying causes to comprehend drivers; Uphold and oversee the quality assurance procedure and complete regular reporting.
• Assess the extent and appropriateness of validation procedures for both model and non-model technologies.
• As the programme and its requirements change, maintain and update the policies, standards, and procedures.
• Train teams that need to know about model and non-model tool standards and norms.
• Assist the group in overseeing correspondence and inspections with U.S. financial sector authorities and internal audit units; guarantee prompt resolution of unresolved issues.
• Assist the group in preparing the reporting for top management and regulatory bodies on the aggregate model risk assessment.
• Create and distribute model-related MIS on a weekly, biweekly, and monthly basis (e.g., validation MIS, results MIS, etc.).
• Provide monthly reports on usage patterns, compliance data, and the inventory of model and non-model tools for the entire organisation.
• Support a range of strategic goals by taking part in high-impact, short- to medium-term projects related to strategy and risk management. Every engagement is different and could involve tasks like conducting market research or creating a brand-new risk management system.
• Work together with technology teams to put new tools for managing reporting and workflows for both model and non-model tools into place.
• Serve as the user support representative’s point of contact, answering questions and resolving problems quickly.
• Keep up with pertinent industry standards and regulations.

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Required Skills & Qualifications

• Strong analytical skills and aptitude for solving problems.
• Capable of exhibiting a deep understanding of risk and financial management.
• Strong communication and interpersonal abilities; capable of concisely explaining or interpreting technical papers, legal requirements, and complicated project specifications to a range of stakeholders
• Superb abilities in managing multiple tasks and multitasking.
• Outstanding ability to collaborate with coworkers and stakeholders in different AXP offices worldwide.
• Excellent proficiency in Microsoft Excel and PowerPoint.
• An extraordinary level of attention to detail.
• Enthusiastic disposition and self-motivation.
• A bachelor’s degree in science or management, preferably in one of the following fields: economics, finance, statistics, or decision science.
• An MBA or graduate degree in statistics, finance, decision science, economics, or closely related subjects, such as an M.S. or Ph.D., is advantageous.

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