Analyst-Data Science
American Express Singapore
Financial Services · 10,001+ employees
About the role
Develop and deploy machine learning-powered predictive models to manage enterprise risks across the customer lifecycle. Collaborate with cross-functional teams to improve decision-making frameworks and optimize servicing strategies.
What they look for
Requirements
Requires a Master's degree in a quantitative field or Business Administration with hands-on experience in analytical techniques. Candidates should possess expertise in Python or R, database proficiency, and 1-2 years of experience in AI/ML or data analytics.
Full description
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 standard methodologies when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences. This critical team is responsible for handling enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.
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.
