American Express Off Campus Drive 2026 | Analyst - Data Science (CFR Team)
- Company: American Express.
- Role: Analyst - Data Science.
- Location: Gurugram, Haryana, India (Hybrid).
- Eligibility: Bachelor's degree (strong quantitative background preferred). Freshers/Early professionals eligible.
- Key Skills: Big Data, Machine Learning, Analytics, Predictive Modeling, Problem Solving.
American Express is looking for analytical minds to join their Credit and Fraud Risk (CFR) team! If you are passionate about solving complex problems using Big Data and Machine Learning to impact millions of customers globally, the Analyst - Data Science role is your perfect opportunity. This position is located in Gurugram and involves working with industry leaders to drive profitable business decisions.
| 🏢 Company | American Express |
|---|---|
| 👨💻 Role | Analyst - Data Science |
| 📍 Location | Gurugram, Haryana, India (Hybrid) |
| 🎓 Target Candidates | Freshers & Early Professionals |
| 📚 Education | Bachelor's Degree (Quantitative) |
| 💼 Job ID | 26007966 |
⏳ Note: Applications are currently live on the Amex Careers portal. The deadline to apply is typically rolling, so apply as soon as possible.
🛡️ Content Review & Verification
Reviewed By: Pavan (Career Content Analyst)
Last Fact Checked: July 07, 2026
Sources: Official American Express Careers Posting - Job ID 26007966. Details verified against the application portal.
📚 The Ultimate Preparation Guide:
🏢 About the Credit and Fraud Risk (CFR) Team
The Credit and Fraud Risk (CFR) team at American Express is crucial in driving profitable business growth. They achieve this by utilizing cutting-edge tools and technology to minimize fraud risk while maintaining the industry's lowest credit loss rates. Their work ensures a world-class customer experience by leveraging data and digital advancements to optimize risk management, enable commerce, and continuously drive innovation across the global network.
👨💻 Role Profiles & Responsibilities
As an Analyst - Data Science, you will tackle real-world business challenges. Your key responsibilities will include:
- Developing, deploying, and validating predictive models.
- Utilizing models in economic logic to make profitable decisions related to risk, fraud, and marketing.
- Analyzing vast amounts of data to extract actionable business insights and design innovative solutions.
- Innovating new and improved approaches leveraging big data and machine learning solutions.
- Articulating and structuring complex business findings for leadership and key cross-functional partners worldwide.
🎓 Eligibility & Qualifications
To qualify for this Data Science Analyst role at Amex, candidates should possess:
- Education: A Bachelor's Degree. Degrees in quantitative fields (Mathematics, Statistics, Computer Science, Engineering, Economics) are highly preferred.
- Experience: Open to candidates with strong analytical foundations. While specific experience isn't explicitly mandated, demonstrated ability to solve complex unstructured initiatives is crucial.
- Skills: An innovative problem solver capable of learning quickly and working both independently and effectively within a team environment.
🛠️ Essential Tech Skills Required
To succeed in the CFR team and pass the initial screening, ensure your resume emphasizes these areas:
Resume Tip: Highlight any projects or internships where you applied machine learning algorithms to large datasets or solved complex analytical problems. Clear communication of your findings is just as important as the code itself. Read our ATS resume guide.
💰 Compensation, Perks, and Benefits
As part of Team Amex, you are backed with comprehensive support for your holistic well-being. The benefits package is highly competitive and designed to help you thrive both personally and professionally:
- Competitive Base Salaries & Bonus Incentives.
- Flexible Working Model: Hybrid, onsite, or virtual arrangements depending on the role and business needs (This role is listed as Hybrid in Gurugram).
- Health & Wellness: Comprehensive medical, dental, vision, life insurance, and disability benefits. Free access to global on-site wellness centers and confidential counseling through the Healthy Minds program.
- Financial Well-being: Support for financial well-being and retirement planning.
- Family Support: Generous paid parental leave policies.
*Disclaimer: Specific benefits may vary depending on location and local regulations.
📝 Step-by-Step Application Process
Follow these steps to submit your application securely via the American Express careers portal:
Click the official apply link at the bottom of this page to navigate to the Amex job listing for Job ID: 26007966.
Sign in to your American Express careers account or create a new one. Ensure your profile has an updated resume highlighting your analytics and machine learning skills.
Be aware that an offer of employment with American Express is conditioned upon the successful completion of a background verification check.
Review your application details thoroughly and click "Apply". Monitor your registered email for further communication.
⚡ Live Off-Campus Recruitment Drives (July 2026)
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❓ People Also Ask (FAQs)
What is the required qualification for this American Express role?
A Bachelor's Degree is required, preferably in a highly quantitative field such as Mathematics, Statistics, Economics, Computer Science, or Engineering.
What skills are essential for the Analyst - Data Science position?
Proficiency in data analysis, big data technologies, machine learning concepts, and strong problem-solving abilities are crucial.
Where is the job located?
The role is based out of the American Express office in Gurugram (Gurgaon), Haryana, India, and currently supports a hybrid working model.
Explore More Resources
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✅ Official Application Link
Ready to make a global impact with your data skills? Click the secure button below to be redirected to the official American Express careers 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. American Express is an equal opportunity employer and does not charge any fee during the recruitment process.
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