When a single decision can impact millions of customers across the globe, it takes the right mix of analytics, innovation, and data-driven thinking to make it happen. At American Express, that’s exactly what the Credit & Fraud Risk (CFR) Analytics & Data Science team does every day—helping the company grow profitably while delivering world-class customer experiences.
If you’re passionate about solving complex problems with the power of data, this role is your chance to shine.
💼 About the Role
The Analyst – Data Science role at American Express is an opportunity to work on real-world problems in credit, fraud, and risk management. You’ll be part of the CFR Analytics & Data Science Center of Excellence (CoE), a team that uses advanced analytics and machine learning to improve decision-making across the customer journey—from targeting and onboarding to risk management and fraud prevention.
Working here means getting exposure to cutting-edge data science techniques, big data platforms, and global industry leaders. Whether it’s building predictive models, developing innovative algorithms, or translating insights into business strategies, your work will directly influence how Amex serves millions of customers worldwide.
🔑 Key Responsibilities
As an Analyst, you will:
- Analyze large datasets to uncover patterns, trends, and insights that guide decision-making.
- Develop and deploy predictive models to enable profitable and risk-aware business outcomes.
- Leverage big data tools and machine learning techniques to innovate across risk, fraud, and marketing.
- Integrate Amex’s closed-loop network data to create intelligent, personalized decision strategies.
- Present clear, structured findings to leadership and business partners.
- Stay updated on developments in finance, payments, analytics, and data science to bring fresh ideas to the table.
🎓 Minimum Qualifications
To apply, you should have:
- MBA or Master’s degree in Economics, Statistics, Computer Science, or a related field.
- 0–18 months of experience in analytics or big data environments.
- Knowledge of SAS, R, Python, Hive, Spark, SQL.
- Familiarity with supervised/unsupervised ML techniques such as neural networks, reinforcement learning, and decision trees.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in cross-functional teams and manage complex, unstructured projects.
⭐ Preferred Qualifications
- Expertise in coding, algorithms, and high-performance computing.
- Passion for applying advanced machine learning models to business problems.
🌍 Why Join American Express?
At Amex, it’s not just about the job—it’s about the people and culture. The company is known for innovation, collaboration, and leadership in financial services. As part of Team Amex, you’ll benefit from:
- Competitive base salary and performance-based bonuses.
- Comprehensive health, dental, vision, and life insurance.
- Retirement and financial well-being support.
- Generous paid parental leave and flexible work models (hybrid/remote).
- Free access to wellness centers and counseling support.
- Career development, training, and leadership opportunities.
| Platform | Link |
|---|---|
| Apply Link:- | Click Here |
| Apply Link:- | Click Here (Official Link) |
| WhatsApp Group:- | Join Here |
| Telegram Group:- | Join Here |
📍 Locations
- Gurugram, Haryana
- Bengaluru Urban, Karnataka
(Hybrid work model available)
🚀 Final Thoughts
The Analyst – Data Science role at American Express is more than just a job. It’s a chance to be at the intersection of data, innovation, and financial services, shaping the future of payments and risk management. If you’re eager to grow your career in one of the best environments for data scientists, this is your opportunity.
👉 Apply now and start your journey with American Express!