American Express

Data Analyst - Fraud

Kuala Lumpur, Malaysia Remote Hybrid
SQL Python Machine Learning
Description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

How will you make an impact in this role?

We are seeking a highly motivated and skilled Fraud Data Analyst to join our Global Fraud Organization. The ideal candidate will possess a strong analytical approach and a passion for turning data into actionable insights. This role involves developing reports and driving operational excellence within the organization.

  • Understand business priorities and develop reporting, insights, and solutions to achieve organizational goals.

  • Partner with colleagues to drive operational metrics and implement actionable solutions

  • Collect, consolidate, and analyze data to generate meaningful insights.

  • Prepare regular reports and presentations for performance reviews, contributing to operational decision-making.

  • Provide real-time support to operations by performing production tasks as vital.

  • Manage and facilitate business audits, addressing regulatory compliance and reporting concerns.

 

Minimum Qualifications

  • Solid experience in writing SQL queries and extracting data from databases.

  • Proficiency in developing Tableau workbooks and dashboards.

  • Proficiency in Python automation script
  • Strong skills in Microsoft Office tools, especially Excel and PowerPoint.

  • Excellent analytical and creative thinking abilities.

  • Proven track record to work independently, manage stakeholders effectively, and engage in problem-solving discussions.

  • Strong interpersonal skills to present findings, develop appropriate conclusions, and make recommendations.

Preferred Qualifications

  • Bachelor or equivalent qualification in Computer Science, Data Analytics or a related field.

  • Knowledge of machine learning and data visualization techniques will be advantageous.

  • Prior experience in fraud or risk management is a plus.

  • Candidates with minimal work experience but strong analytical abilities and a passion for data are encouraged to apply.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • Competitive base salaries 
  • Bonus incentives 
  • Support for financial-well-being and retirement 
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
  • Flexible working model with hybrid or onsite arrangements depending on role and business need 
  • Generous paid parental leave policies (depending on your location) 
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
  • Free and confidential counseling support through our Healthy Minds program 
  • Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

American Express
American Express
Debit Cards Finance Financial Services Payments Travel

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