Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing. 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 Amex network to make decisions more intelligent and relevant Innovate with a focus on developing newer and better approaches using big data & machine learning solution Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc. Qualifications: MBA, master’s degree in economics, Statistics, Computer Science Or related fields 0-30 months of experience in analytics, big data workstreams. Ability to work effectively in a team environment Ability to drive project deliverables to achieve business results Strong communication and interpersonal skills Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives Ability to Integrate with Cross-Functional Business Partners Worldwide SAS, R, Python, Hive, Spark, SQL Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering Preferred Qualifications • Expertise in Coding, Algorithm, High Performance Computing 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 Amex network to make decisions more intelligent and relevant Innovate with a focus on developing newer and better approaches using big data & machine learning solution Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc. Requirements MBA, master’s degree in economics, Statistics, Computer Science Or related fields 0-30 months of experience in analytics, big data workstreams. Ability to work effectively in a team environment Ability to drive project deliverables to achieve business results Strong communication and interpersonal skills Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives Ability to Integrate with Cross-Functional Business Partners Worldwide SAS, R, Python, Hive, Spark, SQL Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering Expertise in Coding, Algorithm, High Performance Computing

About American Express

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.