American Express is hiring for Analyst

Job Details

1. Company: American Express
2. Job Position: Analyst – Risk Management
3. Location: Gurugram, Haryana / Bengaluru, Karnataka
4. Work Mode: Hybrid
5. Job Type: Full-time
6. Job Category: Risk
7. Experience: 0–30 months in analytics
8. Qualification: MBA / Master’s Degree in Economics, Statistics, Computer Science, or a related field
9. Salary: Estimated ₹8 LPA – ₹18 LPA. Current job-market listings for this American Express role show estimates around ₹8–₹10 LPA, while employee-reported Risk Analyst compensation at American Express is higher in several 0–3 year cases. Based on the role requirements and available salary data, ₹8–₹18 LPA is a reasonable estimated range. (Glassdoor)
10. Application Deadline: October 9, 2026

Job Overview

American Express is hiring an Analyst – Risk Management to join its Credit and Fraud Risk Analytics & Data Science team in Gurugram or Bengaluru. The role focuses on using data, analytics, business insights, and machine learning to support credit and fraud risk decisions. Selected candidates will work on real-world business problems, analyze large datasets, develop innovative solutions, and collaborate with teams across the organization.

Key Responsibilities

1. Understand American Express’s core business and the factors behind important business decisions.
2. Analyze large amounts of data to identify useful business insights.
3. Develop analytical solutions that support profitable business decisions.
4. Use data and technology to improve credit and fraud risk management.
5. Explore new approaches using big data and machine learning.
6. Develop innovative solutions for complex business problems.
7. Use the American Express network and available data to make decisions more intelligent and relevant.
8. Support analytical initiatives across prospect and customer-related areas.
9. Present business findings clearly to leadership and key business partners.
10. Translate complex analytical results into meaningful business insights.
11. Work with cross-functional teams across different regions.
12. Contribute to projects that improve customer experience and business performance.
13. Stay updated on developments in finance, payments, analytics, and related fields.
14. Drive project deliverables and contribute toward measurable business results.
15. Apply analytical thinking to complex and unstructured business challenges.

Eligibility Criteria

1. Candidates should have an MBA or Master’s degree in Economics, Statistics, Computer Science, or a related field.
2. Candidates should have 0–30 months of experience in analytics.
3. Strong analytical and problem-solving abilities are required.
4. Candidates should be comfortable working with large amounts of data.
5. Candidates should be able to work effectively in a team environment.
6. Strong communication and interpersonal skills are required.
7. Candidates should be able to learn quickly and work independently.
8. Candidates should be comfortable handling complex and unstructured problems.
9. Candidates should be able to collaborate with business partners across different regions.
10. Candidates should have an interest in finance, payments, analytics, risk management, or related areas.

Required Skills

1. Data analysis and interpretation.
2. Strong analytical and problem-solving skills.
3. Business and financial understanding.
4. Knowledge of statistics and analytical techniques.
5. Understanding of machine learning and big data concepts.
6. Ability to identify patterns and insights from large datasets.
7. Strong written and verbal communication.
8. Ability to present findings to senior stakeholders.
9. Ability to work independently on complex problems.
10. Strong teamwork and collaboration skills.
11. Ability to structure and communicate business problems clearly.
12. Ability to develop innovative analytical solutions.
13. Willingness to learn new technologies and methodologies.
14. Understanding of the finance and payments industry is beneficial.
15. Ability to work with cross-functional teams globally.

Why Join American Express?

1. Work with a globally recognized financial services company.
2. Solve real-world risk and business problems that can impact millions of customers.
3. Gain exposure to analytics, data science, machine learning, and risk management.
4. Work alongside experienced leaders and professionals in analytics and data science.
5. Develop skills through career development and training opportunities.
6. Get opportunities to work with teams and business partners across the world.
7. Receive competitive salary and bonus opportunities.
8. Access benefits supporting financial, professional, and personal well-being.
9. Experience a flexible working environment based on the role and business requirements.
10. Build a long-term career with a company focused on innovation, learning, and professional growth.

Important Links

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