Analyst Risk Management @ American Express
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Job Details
Overview
At American Express, our culture is built on a 175-year history of innovation, shared values, and leadership behaviors. Your work makes an impact as you help shape the future of American Express while receiving comprehensive support for your well-being and career growth.
Role Impact
As an Analyst Risk Management in the External Fraud Risk Oversight team within Financial Risk Management, you will provide independent oversight on external fraud risk. Your work involves monitoring and analyzing processes and controls to prevent first party/victim fraud on cards, banking and non-card products.
Key Responsibilities
- Provide independent oversight on risk processes and non-model tools.
- Assist in development and enforcement of fraud prevention policies.
- Recommend enhancements to improve fraud detection capabilities.
- Utilize advanced detection tools to analyze emerging fraud trends.
Minimum Qualifications
Candidate should have 0-2 years of experience in risk management, risk oversight, or analytics. A degree in a quantitative field is required along with knowledge in SQL and Python. Strong technical and analytical skills and the ability to translate complex data into actionable insights are essential.
Preferred Qualifications
Experience in external fraud risk management and oversight functions is preferred.
Work Environment
This role is required to be on-site 3 days per week while enjoying benefits that support physical, financial, and mental well-being. Additional perks include competitive salaries, bonus incentives, comprehensive insurance, flexible work models, generous paid parental leave, free wellness center access, and career development opportunities.
Key skills/competency
Risk, Fraud, SQL, Python, Analytics, Oversight, Policies, Detection, Quantitative, Independent
How to Get Hired at American Express
🎯 Tips for Getting Hired
- Research American Express culture: Review their mission, values, and history.
- Customize your resume: Highlight risk management and technical skills.
- Prepare for analytics questions: Focus on SQL and Python examples.
- Practice behavioral answers: Emphasize independent decision-making and collaboration.