Role Summary

Company: American Express

Location: Gurugram, India

Duration: 12 Months Apprenticeship

Open Positions: 2

About the Role

American Express is hiring Apprentices for its Second Line of Defense (2LOD) – Complaints Analytics Team within the Global Risk & Compliance Business Unit.

This is an opportunity to work on real business problems using enterprise-scale data, with insights and recommendations that are presented to Senior Leadership, the Board, and regulatory stakeholders. You'll gain hands-on experience in analytics, risk management, compliance, NLP, GenAI, and automation while working in a highly regulated financial services environment.

Roles & Responsibilities

Complaint Analytics & Business Insights

• Analyze customer complaint trends and related datasets such as Cards in Force (CIF), call volumes, chat volumes, and product-level metrics.
• Identify patterns, anomalies, and emerging risks.
• Generate structured insights and contribute to monthly deep-dive "Spotlight" analyses.
• Support presentations shared with senior leadership teams.

Risk Detection & AI Projects

• Work on projects focused on identifying potential UDAAP (Unfair, Deceptive, or Abusive Acts or Practices) risks from customer complaints.
• Analyze unstructured text data including customer complaints and resolution notes.
• Explore NLP, text analytics, GenAI, Enterprise ChatGPT, and automation-based solutions.
• Experiment with new approaches to improve risk identification and monitoring.

Data Quality & Governance

• Support quality checks on recurring reporting processes.
• Validate data, reconcile outputs, and identify inconsistencies.
• Learn how reporting controls, governance frameworks, and regulatory requirements are applied in real-world environments.
• Assist in maintaining audit-ready reporting standards.

Automation & Reporting

• Support development of reporting logic and data pipelines.
• Identify opportunities to automate manual processes and improve efficiency.
• Assist in building scalable analytical solutions.

Cross-Functional Collaboration

• Work closely with teams across Compliance, Risk, Analytics, and Business Units.
• Learn how data-driven insights support enterprise-wide decision-making.

Eligibility Criteria

Required Skills

• Strong proficiency in MS Excel and PowerPoint.
• Knowledge of Python or SQL.
• Strong analytical and problem-solving abilities.
• High attention to detail and ownership mindset.
• Excellent written and verbal communication skills.

Preferred Skills

• Experience working with unstructured text data.
• Basic understanding of NLP or text analytics techniques.
• Familiarity with Tableau or Power BI.
• Interest in Analytics, Risk, Compliance, AI, or Data Science.

Who Should Apply?

This opportunity is ideal for candidates who:

• Enjoy solving open-ended business problems.
• Are curious and willing to experiment with new tools and technologies.
• Take initiative instead of waiting for detailed instructions.
• Want hands-on experience with real-world data and business challenges.
• Aspire to build careers in Analytics, Risk Management, Compliance, AI, or Data Science.

What You'll Gain

• Hands-on experience working with enterprise-scale data.
• Exposure to risk, compliance, and regulatory analytics.
• Opportunity to work on NLP, GenAI, and automation use cases.
• Experience creating insights that influence senior leadership discussions.
• Understanding of data governance and control frameworks in financial services.
• Strong foundation for careers in Analytics, Risk, Compliance, and Data Science.

Why Join American Express?

At American Express, you'll work on high-impact projects that go beyond reporting. You'll gain exposure to how one of the world's leading financial institutions uses data, analytics, and AI to identify risks, improve customer outcomes, and support strategic decision-making.