American Express Hiring 2026 | Apprentice – Credit & Fraud Risk | Freshers Apply Now
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American Express Hiring – Apprentice Credit & Fraud Risk Opportunity
American Express is hiring for the position of Apprentice – Credit & Fraud Risk (CFR). This is an excellent opportunity for freshers and apprenticeship candidates who are interested in risk analytics, fraud prevention, data analysis, finance, and business decision-making.
Selected candidates will work with risk management teams, analyze data, support credit and fraud risk initiatives, and gain industry experience through a structured apprenticeship program.
About American Express
American Express is a global financial services company providing payment solutions, credit services, and business products. The company uses technology, analytics, and data-driven strategies to deliver secure financial experiences.
Job Details
Company Name: American Express
Position: Apprentice – Credit & Fraud Risk (CFR)
Job Type: Apprenticeship (12 Months Program)
Location: Gurugram, Haryana, India / Bengaluru, Karnataka, India (Hybrid)
Qualification: Bachelor’s / Master’s Degree in Engineering, Mathematics, Statistics, Economics, Computer Science, Data Science, Business Analytics, Finance, or Related Quantitative Disciplines
Experience: Freshers / Apprenticeship Candidates Eligible
Salary: Paid Apprenticeship (As per American Express Standards)
Eligibility Criteria
- Bachelor’s or Master’s degree holders from relevant quantitative disciplines.
- Eligible backgrounds include Engineering, Mathematics, Statistics, Economics, Computer Science, Data Science, Business Analytics, and Finance.
- Freshers can apply.
- Interest in risk management, analytics, and financial services.
- Strong analytical and problem-solving skills.
Job Description
American Express is looking for Apprentice candidates to support the Credit & Fraud Risk team. The role involves analyzing data, assisting risk management processes, identifying patterns, and contributing to fraud prevention and credit risk solutions.
Key Responsibilities
- Support credit and fraud risk analysis activities.
- Analyze data to identify trends and risk patterns.
- Assist teams in developing risk management solutions.
- Work with business and analytics teams.
- Prepare reports and insights using data.
- Support fraud detection and prevention initiatives.
- Follow risk management processes and guidelines.
Key Skills Required
- Data Analysis
- Analytical Thinking
- Problem-Solving Skills
- Mathematical and Statistical Concepts
- Financial Concepts
- Business Analytics
- Computer Science Fundamentals
- Communication Skills
- Attention to Detail
Preferred Skills
- Knowledge of SQL, Python, or data analytics tools.
- Understanding of credit risk and fraud analytics concepts.
- Experience with academic data projects.
- Ability to work with large datasets.
- Strong collaboration skills.
Selection Process
- Online Application
- Resume Screening
- Assessment Round
- Technical / Analytical Interview
- HR Discussion
- Final Selection
Why Apply?
- Opportunity to start a career with a global financial services company.
- Gain practical experience in credit and fraud risk management.
- Learn from experienced analytics professionals.
- Develop financial and data analytics skills.
- Paid apprenticeship opportunity for freshers.
Who Should Apply?
- Fresh graduates from technical and quantitative backgrounds.
- Students interested in finance and analytics careers.
- Candidates with data analysis skills.
- Applicants looking for apprenticeship opportunities.
- Graduates interested in risk management roles.
How to Apply?
Interested candidates can apply through the official American Express careers portal using the application link provided above.
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Disclaimer
The recruitment details are based on the provided job information. Candidates should verify the latest eligibility criteria and application details before applying.
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American Express Hiring 2026 | Apprentice Credit & Fraud Risk | Freshers Apply Now
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American Express Hiring 2026 for Apprentice Credit & Fraud Risk role. Freshers with Engineering, Data Science, Finance, Analytics, or quantitative backgrounds can apply.
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