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Senior Manager - Data Science
Senior Manager - Data Science-August 2024
Singapore
Aug 14, 2026
ABOUT AMERICAN EXPRESS
American Express is a global services company, providing customers with exceptional access to products, insights, and experiences that enrich lives and build business success.
10,000+ employees
Consumer Goods & Services, Financial Services
VIEW COMPANY PROFILE >>
About Senior Manager - Data Science

  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.

  Business Unit and Role Information

  Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

  This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

  Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

  Responsibilities:

  Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.

  Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.

  Work with product owners to revolutionize the product and content design with a data-driven approach

  Collaborate with tech partners to test, implement and deploy modeling solutions to production system.

  Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information

  Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant

  Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

  Minimum qualifications:

  Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.

  Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.

  Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus

  Minimum 1 year of experience in marketing modeling

  Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.

  Ability to work effectively in a team environment

  Independent thinker who’s organized, has great attention to detail, and can multi-task

  Strong communication skills

  Ability to learn quickly and work independently with sophisticated, unstructured initiatives

  Ability to integrate with cross-functional business partners worldwide

  Proficient in presentation tools, including Excel and PowerPoint

  Qualifications

  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, onsite or virtual 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.

  Job: Risk

  Primary Location: Singapore-Singapore-Singapore

  Schedule Full-time

  Req ID: 24000288

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