American Express is Hiring Analyst – Data Science in Gurugram & Bengaluru
Credit and Fraud Risk Analytics | Gurugram / Bengaluru
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Job Overview
American Express is hiring an Analyst – Data Science to join its Credit and Fraud Risk Analytics & Data Science team in Gurugram and Bengaluru.
The role focuses on using data science, predictive modeling, machine learning, and advanced analytics to support profitable business decisions across credit risk, fraud, and marketing. You will collaborate with cross-functional business partners and senior stakeholders to develop innovative analytics solutions using massive global datasets.
💡 Why this role?
This is an incredible opportunity for candidates with 0–30 months of analytics or big data experience to leverage advanced tools like SAS, Python, Hive, Spark, SQL, and cutting-edge machine learning techniques at a premier global financial institution.
Key Responsibilities
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Analyze large datasets to identify meaningful business insights, understanding core American Express business processes and decision drivers.
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Develop innovative solutions using big data and machine learning to deploy and validate predictive models.
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Apply analytical models to support profitable business decisions across credit risk, fraud, and marketing strategies.
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Communicate business findings clearly to leadership, working with cross-functional business teams across global locations.
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Explore emerging developments in finance, payments, and data science, driving complex and unstructured analytics initiatives.
Eligibility Criteria
Education & Experience
Candidates must hold an MBA or Master’s degree in Economics, Statistics, Computer Science, or a related field. You should have 0–30 months of experience working with analytics or big data workstreams, displaying strong analytical, programming, and problem-solving skills.
How to Apply
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Verify Job Reference ID: 26012381 and complete your online application profile.