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Campus Internship - Fraud Data Analyst, Global Credit and Fraud Operations 2026 (Malaysia)

American Express

Campus Internship - Fraud Data Analyst, Global Credit and Fraud Operations 2026 (Malaysia)

American Express

Kuala Lumpur, SGR, Malaysia

·

On-site

·

Full-time

·

3mo ago

About AMEX

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. As part of Team Amex, you’ll experience this 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.

Business Unit/ Role Specific Info

The Global Servicing (GS) team is comprised of several interconnected business units which collectively provide service on a global scale, playing a central role in helping American Express achieve its vision of being the world’s most respected service brand. As part of GS, the Global Credit and Fraud Operations (GCFO) organization plays a vital role in providing the world’s best customer experience over various cardmember journeys from new acquisitions to Credit & Collections, ensuring we protect the company’s assets & brand.

As part of GCFO, Global Fraud oversees the end-to-end management of Fraud & Authorization Servicing and Claims processing worldwide. Our mission is to ensure every interaction is managed with precision, care, and an unwavering commitment to protecting both our customers and our company.

How will you make an impact in this role?

This internship focus on data analytics and reporting to support data driven decision making. The candidate will work closely with our analysts and leadership team to turn data into actionable insights and support ongoing operational excellence initiatives. 

Key Responsibilities

                    Partner with analyst to develop and refine reports that provide insights for decision making.

                    Support the team in collecting, consolidating and analyzing data to identify key trends and insights.

                    Assist in developing and maintaining reports, dashboards and performance update decks.

                    Pull, clean and analyze data using Google Cloud Platform Big Query.

                    Assist in creating or maintaining dashboards in Power BI to track key performance and operational metrics.

                    Coding with Python to support data processing tasks.

                    Contribute to ad-hoc analysis and operational support by working with large datasets.

                    Support business audit preparation and documentation when required.

Skills and Qualifications

                    Basic knowledge of SQL for data querying.

                    Exposure to data visualization tools such as Power BI, Tableau, etc.

                    Proficiency with Python or other coding language for data manipulation or automation.

                    Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

                    Strong analytical mindset with attention to detail.

                    Eagerness to learn, ability to work independently and in a team environment.

 

Additional Information:

  • Location: Kuala Lumpur

  • Starting Date: 27th April

  • Duration:  6 Months

  • Hours: Full time

  • Year of study: Bachelors - penultimate or final year of study

 

 

This internship requires you to be available for a period of 6 months

Employment eligibility to work with American Express in Malaysia is required as the company will not pursue visa sponsorship for these positions.

 

American Express is committed to providing a meaningful learning experience for all interns. Internships are subject to the following terms: 

  • A Flexible working model, with hybrid or onsite arrangements depending on the role and business needs. 
  • All internship opportunities are offered solely as temporary learning and development experiences. 
  • An internship does not constitute employment with the Company and does not create any employer-employee relationship under Malaysian law.
  • For the avoidance of doubt, notwithstanding any discretionary benefits the Company may choose to offer as part of the internship program, which may be amended or withdrawn at any time at the Company’s sole and absolute discretion, interns are not entitled to statutory benefits or any other employment-related rights.
  • Participation in an internship does not guarantee future employment with the Company. 
  • All internship offers by American Express are conditional upon the successful completion of a background verification check, subject to applicable laws and regulations. 

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About American Express

American Express

American Express Company or Amex is an American bank holding company and multinational financial services corporation that specializes in payment cards. It is headquartered at 200 Vesey Street, also known as American Express Tower, in the Battery Park City neighborhood of Lower Manhattan.

10,001+

Employees

New York

Headquarters

Reviews

3.3

10 reviews

Work Life Balance

2.8

Compensation

3.2

Culture

2.5

Career

3.0

Management

2.0

45%

Recommend to a Friend

Pros

Good benefits and compensation

Training and professional development provided

Well-structured company with high-level professionals

Cons

Micromanagement and lack of trust from leadership

Fast-paced, high-stress work environment

Poor work-life balance with extended hours expectations

Salary Ranges

0 data points

L2

L3

L4

L5

L6

L2 · ヒューマンリソーシズ L2

0 reports

$168,350

total / year

Base

$67,340

Stock

$84,175

Bonus

$16,835

$117,845

$218,855

Interview Experience

10 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

10%

Interview Process

1

Application Review

2

HireVue Pre-Screening

3

Technical Phone Screen

4

Behavioral Interview

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit