American Express Hiring Apprentice (Analytics & Risk) | Bengaluru/Gurugram

Role Overview

The Credit & Fraud Risk (CFR) team at American Express focuses on protecting the company, customers, and brand by identifying and managing credit and fraud risks throughout the customer lifecycle. Teams combine data, analytics, technology, and modern risk management practices to build scalable and intelligent risk capabilities.

This 12‑month paid apprenticeship provides exposure to how analytics, technology, and product thinking work together to address business challenges and support growth. Apprentices gain opportunities for learning, networking, and engagement with leaders while contributing to risk management initiatives.

Program Focus Areas

The apprenticeship offers experience across several areas within Credit & Fraud Risk, including Data Stewardship, Strategy & Analytics, and Product.

Key Responsibilities

Product & Business

• Understand how Credit & Fraud Risk teams support business growth, customer experience, and risk decision making.
• Work with cross‑functional teams to assist with product improvements, business initiatives, and innovation efforts.
• Take part in activities throughout the product lifecycle including discovery, testing, implementation, and monitoring performance.
• Learn how data, technology, and business insights are applied to solve practical business problems.

Data & Analytics

• Assist with analytical and reporting tasks to identify patterns, trends, and actionable insights.
• Work with analytical and visualization tools such as SQL, Python, Excel, Power BI, or Tableau.
• Gain exposure to practices related to data governance, data quality, and process improvement.

Preferred Skills

• Strong analytical thinking and problem solving abilities.
• Interest in data analytics and risk management.
• Ability to interpret datasets and extract useful insights.
• Exposure to analytical tools such as SQL, Python, Excel, Power BI, or Tableau is beneficial.
• Familiarity with concepts like SDLC, automation tools (RPA, ETL), machine learning, or data visualization platforms is advantageous.
• Basic understanding of financial services, fraud risk, credit risk, or compliance concepts is helpful.

Program Duration

The apprenticeship runs for a period of 12 months and provides structured learning, training opportunities, and exposure to real business projects within the Credit & Fraud Risk organization.