American Express Off Campus Drive 2026 | Apprentice (Data & Analytics) | Apply Now
- Company: American Express.
- Role: Apprentice (Credit & Fraud Risk).
- Location: Bengaluru, Karnataka (Hybrid).
- Duration: 12-month paid program.
- Eligibility: Bachelor's or Master's degree in quantitative fields (Engineering, Maths, Stats, CS, Data Science).
- Key Skills: SQL, Python, Excel, Power BI, Tableau, Analytical Thinking.
American Express is inviting talented graduates to join their Credit & Fraud Risk (CFR) team for an exclusive 12-month paid apprenticeship program in Bengaluru. If you have a passion for data, analytics, and mitigating risk, this role offers a phenomenal opportunity to work with cutting-edge tools (SQL, Python, Power BI) and shape scalable, data-driven capabilities across global financial networks.
| 🏢 Company | American Express |
|---|---|
| 👨💻 Role | Apprentice (CFR) |
| 📍 Location | Bengaluru (Hybrid) |
| 🎓 Target Candidates | Freshers / Recent Graduates |
| 📚 Education | B.E / B.Tech / M.Sc / MCA / B.Sc |
| 💼 Job ID | 26009093 |
⏳ Note: American Express processes applications on a rolling basis. Apply immediately on the official Careers portal.
🛡️ Content Review & Verification
Reviewed By: Pavan (Career Content Analyst)
Last Fact Checked: July 14, 2026
Sources: Official American Express Careers Page - Job ID 26009093. Details verified against the official employer portal.
📚 The Ultimate Preparation Guide:
🏢 About Credit & Fraud Risk (CFR) at American Express
The Credit & Fraud Risk (CFR) teams play a critical role in protecting American Express, its customers, and the brand. They leverage vast amounts of data, advanced analytics, technology, and innovative risk management practices to identify, monitor, and mitigate credit and fraud risks across the entire customer lifecycle. This 12-month paid apprenticeship program gives you the chance to gain exposure to how analytics, technology, and product thinking merge to solve real business problems and drive growth.
👨💻 Role Profiles & Responsibilities
As an Apprentice, you will make an immediate impact. Your primary responsibilities will include:
- Data & Analytics: Supporting analytical and reporting activities to identify trends, patterns, and valuable business insights.
- Tools & Visualization: Working with large datasets using tools such as SQL, Python, Excel, Power BI, or Tableau.
- Cross-Functional Collaboration: Partnering with teams to support product enhancements, business initiatives, and innovation opportunities.
- Product Lifecycle: Participating in activities across the product lifecycle (discovery, testing, implementation, and performance monitoring).
- Governance: Gaining exposure to data governance, data quality, and process improvement practices.
🎓 Eligibility & Qualifications
Ensure you meet the core educational criteria for this apprenticeship:
- Education: Candidates must have completed their graduation (Bachelor’s or Master’s degree) in quantitative disciplines.
- Preferred Disciplines: Engineering, Mathematics, Statistics, Economics, Computer Science, Data Science, Business Analytics, Finance, etc.
- Experience: This program is designed for fresh graduates and those at the very beginning of their careers.
🛠️ Essential Tech & Analytical Skills
American Express seeks curious mindsets eager to learn. Highlight these skills on your resume:
Resume Tip: Highlight any academic projects where you interpreted complex datasets or built dashboards. Familiarity with the Software Development Lifecycle (SDLC) or basic Machine Learning concepts is a plus. Read our ATS resume guide before applying.
💰 Estimated Stipend & Compensation
As this is a 12-month paid apprenticeship, compensation is structured as a monthly stipend rather than a full-time salary package initially. Top performers frequently secure full-time offers post-apprenticeship.
| Role | Estimated Stipend Range |
|---|---|
| Apprentice (12-Month Program) | ₹25,000 - ₹40,000 Per Month |
| Data Analyst (Post-Conversion / Full-Time) | ₹8.0 Lakhs - ₹12.0 Lakhs PA+ |
*Disclaimer: Estimated stipend is based on industry data and past apprenticeship programs at American Express in India. Actual compensation is determined by HR.
🎁 Perks & Benefits
American Express is known for its incredible employee support. Apprentices will enjoy:
- Cab facility / Commuter support.
- Free meals on-site.
- Flexible working model with a hybrid arrangement.
- Extensive training, development, and networking opportunities with leaders.
📝 Step-by-Step Registration
Applications must be submitted via the official American Express (Oracle Cloud) Careers portal. Follow these steps:
Click the official apply link at the bottom of this page for Job ID: 26009093.
Create an account or use an existing one. Upload an ATS-optimized resume heavily emphasizing your analytical skills.
Note that any offer of contractual employment is conditioned upon the successful completion of a background verification check.
Review all information and hit 'Submit application'.
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❓ People Also Ask (FAQs)
What is the required qualification for this American Express role?
Candidates must possess a Bachelor’s or Master’s degree in quantitative fields such as Engineering, Mathematics, Data Science, or Finance.
What analytical skills are required?
Knowledge of SQL, Python, Excel, and visualization tools like Power BI or Tableau is highly preferred.
Is this a full-time role?
This is a 12-month paid apprenticeship program, which provides practical training and the opportunity for full-time conversion based on performance.
Where is the job located?
The primary location is Bengaluru, Karnataka, with a flexible/hybrid working arrangement provided by American Express.
Explore More Resources
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✅ Official Application Link
Ready to start your journey in risk management with a global leader? Click the secure button below to be redirected to the official American Express application portal.
Disclaimer
This post is for educational and informational preparation purposes only. We are an independent career analytics platform and are not affiliated directly with American Express. Always verify corporate job details securely on the official application portal before submitting any personal data. No legitimate firm will ever ask for payment for employment.
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