Job
Description
Role Overview: At American Express, you will be part of the Credit and Fraud Risk (CFR) team, which plays a crucial role in driving profitable business growth by reducing the risk of fraud and maintaining industry-low credit loss rates. As a member of the CFR Analytics & Data Science CoE team, you will have the opportunity to leverage data and digital advancements to improve risk management, enable commerce, and drive innovation. Your role will involve developing, reviewing, and executing economic logic and analytical solutions to support profitable credit business actions. Key Responsibilities: - Understand the core business of AXP and the levers behind various decisions - Analyze large amounts of data to derive business insights and create innovative solutions - Leverage the power of closed-loop through the Amex network to make decisions more intelligent and relevant - Innovate with a focus on developing newer and better approaches using big data and machine learning solutions - Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners Qualifications Required: - MBA, Masters Degree in Economics, Statistics, Computer Science, or related fields - 24-48 months of experience in analytics - Ability to drive project deliverables to achieve business results - Ability to work effectively in a team environment - Strong communication and interpersonal skills - Innovative problem solver with the ability to learn quickly and work independently on complex, unstructured initiatives - Ability to integrate with cross-functional business partners worldwide Additional Company Details: American Express provides a supportive work environment that prioritizes your holistic well-being. You will benefit from competitive base salaries, bonus incentives, and support for financial well-being and retirement. Additionally, comprehensive medical, dental, vision, life insurance, and disability benefits are offered, depending on your location. The company also provides a flexible working model, generous paid parental leave policies, access to global on-site wellness centers, counseling support through the Healthy Minds program, and various career development and training opportunities. Role Overview: At American Express, you will be part of the Credit and Fraud Risk (CFR) team, which plays a crucial role in driving profitable business growth by reducing the risk of fraud and maintaining industry-low credit loss rates. As a member of the CFR Analytics & Data Science CoE team, you will have the opportunity to leverage data and digital advancements to improve risk management, enable commerce, and drive innovation. Your role will involve developing, reviewing, and executing economic logic and analytical solutions to support profitable credit business actions. Key Responsibilities: - Understand the core business of AXP and the levers behind various decisions - Analyze large amounts of data to derive business insights and create innovative solutions - Leverage the power of closed-loop through the Amex network to make decisions more intelligent and relevant - Innovate with a focus on developing newer and better approaches using big data and machine learning solutions - Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners Qualifications Required: - MBA, Masters Degree in Economics, Statistics, Computer Science, or related fields - 24-48 months of experience in analytics - Ability to drive project deliverables to achieve business results - Ability to work effectively in a team environment - Strong communication and interpersonal skills - Innovative problem solver with the ability to learn quickly and work independently on complex, unstructured initiatives - Ability to integrate with cross-functional business partners worldwide Additional Company Details: American Express provides a supportive work environment that prioritizes your holistic well-being. You will benefit from competitive base salaries, bonus incentives, and support for financial well-being and retirement. Additionally, comprehensive medical, dental, vision, life insurance, and disability benefits are offered, depending on your location. The company also provides a flexible working model, generous paid parental leave policies, access to global on-site wellness centers, counseling support through the Healthy Minds program, and various career development and training opportunities.
