American Express Hiring Analyst |Apply Now!!

Job responsibilities:There are three Job families within Enterprise Credit & Fraud Risk Management. Specific job responsibilities vary as per the Job family. Decision Sciences:Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketingStrategy and Insights:Development, review and/or execution of economic logic & analytical solutions to drive profitable marketing or credit business actions.AI Research:AI Researchers in Amex AI Labs work on cutting edge science and technology around Deep Learning, Data Science, NLP, and Cloud technologies. The team works on challenging research problems in domains such as services, human resource management, travel & lifestyle, and many more. The key goal is to progress the state of the art in science and develop products to solve business problemsResponsibilities: Decision Science, Strategy and Insights:Analyze large amounts of data to derive business insights and create innovative solutionsLeverage the power of closed loop through Amex network to make decisions more intelligent and relevantInnovate with a focus on developing newer and better approaches using big data & machine learning solutionAI Research:Ideate and contribute to innovations to help solve business problemsRead, understand papers in AI and ML and use the concepts to come up with novel ideasPerform POC on Ideas and concepts to test feasibilityContribute to product strategy and roadmap; recommend the nature and scope of present and future state of the AI Platforms.Contribute to patents and publication of research Critical Factors to Success: Business Outcomes:Drive billing, revenue growth and profitability through advanced analytical techniquesMaximize business returns by institutionalizing efficient and accurate models.Innovate Modeling Techniques and Variable creationEnsure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning Leadership Outcomes:Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offeringsDemonstrate learning agility, make decisions quickly and with the highest level of integrityLead with a digital mindset and deliver the world’s best customer experiences every dayAcademic Background:MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fieldsFor AI Researcher - Bachelors/Masters/PhD in a quantitative field like Computer Science, Operations Research, Statistics etc.Past Experience:0-6 years’ experience in analytics, big data workstreams Functional Skills/Capabilities:Ability to drive project deliverables to achieve business resultsAbility to work effectively in a team environmentStrong communication and interpersonal skillsAbility to learn quickly and work independentlyGood Programming skills are a mustExcellent problem formulation and solving skillsTechnical Skills/Capabilities:1. Analytics & Insights & Targeting SAS, R, Python, Hive, Spark, SQL Advanced Statistical Techniques Hands on programming and ability to design 2. Data Science/Machine Learning/Artificial Intelligence Expertise in Coding, Algorithm, High Performance Computing 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 Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.

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