Analyst - Data Science

Role overview

American Express is hiring a Decision Science Analyst to join its Credit and Fraud Risk organization in Singapore. The position focuses on using analytics, machine learning, and business problem-solving to improve digital customer experiences and support smarter decision-making across consumer and commercial products worldwide.

The team works on enterprise risk management across the customer lifecycle, designing data-driven frameworks, building predictive models, and improving servicing and optimization strategies. The role combines analytical depth with practical business impact, and it involves working with large-scale digital data from web, app, API, and external sources in a big data environment.

What you'll do

• Create outputs ranging from simple reporting to advanced machine learning models and algorithms that improve online and mobile app experiences.
• Partner with product owners to reshape product and content decisions using data-backed insights.
• Collaborate with technology teams to test, implement, and release modeling solutions into production.
• Translate customer behavior data into actionable insights and new analytical approaches.
• Use the closed-loop network to make decisions more intelligent, relevant, and effective.
• Work with very large digital datasets, including web, app, API, and external data, using advanced tools in a large-scale data environment.
• Continuously explore better ways to solve problems through big data and machine learning methods.

Qualifications

• Master’s degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, Operations Research, or a related field; alternatively, an MBA with hands-on experience in advanced analytics and machine learning.
• Strong command of an analytical language such as Python or R, along with database experience in Hive, SQL, or similar tools.
• Working knowledge of SAS is considered a plus, though it is not mandatory.
• Solid understanding of machine learning and statistical techniques, including deep learning and boosting.
• Experience with data visualization is an advantage.
• Ability to turn business challenges into mathematical or analytical problem statements and design practical solutions using ideas and tools from academia or other industries.
• Comfortable working in a team setting and across functions.
• Self-driven, organized, detail-oriented, and able to manage multiple tasks at once.
• Strong written and verbal communication skills.
• Preferably 1 to 2 years of experience in AI/ML or data analytics.
• Quick learner who can work independently on complex, loosely defined projects.
• Ability to coordinate effectively with business partners across regions.
• Good presentation skills, including strong use of Excel and PowerPoint.

Additional information

This is a full-time onsite role based in Singapore, Singapore.