Job Description
About the Opportunity
If you’re someone who enjoys working with data, asking “why does this happen?”, and building smarter ways to solve problems — this role is for you.
You will be part of the Second Line of Defense (2LOD) - Complaints Analytics team within Global Risk & Compliance Business Unit at American Express — a team whose work is directly used by Senior Leadership, the Board, and even external regulators.
You will work on real data, real problems, and impact real business decisions.
What You’ll Gain
- Hands-on experience working with real enterprise data
- Exposure to risk, compliance, and regulatory analytics
- Opportunity to work on NLP / GenAI / automation use cases
- Experience presenting insights that influence senior leadership discussions
- A strong foundation to build a career in analytics, risk, or data science
What You’ll Work On
1. Monthly “Spotlight” Analysis (High Visibility Work)
Every month, you will help build a deep-dive analytical spotlight on key complaint trends.
- Analyze complaint data along with related datasets like:
- Cards in Force (CIF)
- Call & chat volumes
- Product-level data
- Identify patterns, anomalies, and emerging risks
- Translate findings into clear, structured insights
- Contribute to presentations shared with Senior Leadership
These spotlights are meant to drive conversations and actions, not just reporting.
2. Learn How Data is Governed (Quality Controls & Risk Frameworks)
- Support quality checks on recurring reporting to ensure data accuracy and consistency
- Learn how data quality controls are applied in real-world reporting environments
- Assist in validating data, reconciling outputs, and identifying inconsistencies
- Understand how reporting is made audit-ready and aligned with regulatory expectations
This is a great opportunity to see how data is used in a control-focused and compliance-driven environment, which is critical in financial services.
3. Build Smarter Ways to Detect Risk (UDAAP Project)
One of the core projects you’ll work on is:
How do we identify potential UDAAP (Unfair, Deceptive, or Abusive Acts or Practices) risks from customer complaints?
Today, this is mostly keyword-based.
You’ll help explore better approaches such as:
- Working with unstructured text (customer complaints, resolution notes)
- Testing text analytics / NLP-based approaches
- Using tools like Python, SQL, Enterprise ChatGPT, AIDA, or other methods
- Experimenting and learning — there is no predefined solution
This is a build-from-scratch problem, and your work can directly influence how risk is identified.
4. Learn, Build, Automate
- Support development of data pipelines and reporting logic
- Learn how data is validated and used in a control-focused environment
- Help improve existing processes through automation where possible
- Get exposure to how analytics works in a regulated industry
5. Work With Different Teams
You’ll collaborate with teams across:
- Compliance
- Risk
- Business Units
…and learn how data and analytics connect across the organization.
Basic Requirements
- Advance MS Excel and MS PowerPoint Skills
- Python or SQL
- Preferred some with knowledge of working with unstructured text data or applying text-based analytics/NLP techniques
- Tableau or Power BI preferred
- High attention to detail and strong ownership mindset
- Strong written and verbal communication skills.
Who Should Apply
This role is ideal for someone who:
- Is curious and enjoys solving open-ended problems
- Is comfortable learning new tools and experimenting
- Can take initiative instead of waiting for detailed instructions
- Wants to build real-world skills beyond classroom learning
You don’t need prior experience in complaints or UDAAP — we’ll help you get up to speed.
Compliance language:
Cab facility
Free meals
Flexible working model with hybrid arrangement
Training and development opportunities
Offer of contractual employment as an Apprentice with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
