American Express Analyst Data Science Jobs 2026
Data Management & Analytics | Gurugram / Bengaluru
Job Overview
American Express is hiring Analysts – Data Science for its Credit and Fraud Risk (CFR) Analytics & Data Science team in Gurugram and Bengaluru, India.
The company is looking for analytical and problem-solving professionals who are passionate about machine learning, predictive analytics, and data-driven business decision-making. In this role, candidates will work on predictive modeling, fraud analytics, risk management, and business intelligence projects that directly impact millions of customers globally.
💡 Why this role?
This is an excellent opportunity for freshers and early-career professionals to build expertise in analytics, machine learning, big data, and financial risk management within one of the world’s leading financial services organizations.
Roles & Responsibilities
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Develop, validate, and deploy robust predictive analytics and machine learning models to support risk, fraud, and marketing decisions.
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Analyze extremely large datasets effectively to derive actionable business insights and inform strategic leadership.
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Actively support critical fraud risk and credit risk decision-making processes, improving customer experience and business profitability.
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Build innovative big data and machine learning-driven solutions, identifying concrete opportunities to refine risk management strategies.
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Communicate complex analytical findings clearly to leadership and stakeholders while collaborating with cross-functional global business teams.
Eligibility Criteria
Education
MBA or Master’s Degree in Economics, Statistics, Computer Science, or related quantitative fields.
Experience
0–30 months of relevant analytics or data science experience. Freshers with strong analytical backgrounds can apply.
Technical & Core Competence
Exceptional understanding of Data Science, Predictive Modeling, Machine Learning, and Big Data Analytics. Proven ability in Statistical Analysis, Risk Analytics, and Fraud Analytics. Strong quantitative and business problem-solving skills required.
How to Apply
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