Neha Singh 
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar 
Service Delivery Lead

Rohit Bairagi 
Lead Credit Specialist

Job Description Why American Express? Theres a difference between having a job and making a difference.American Express has been making a difference in peoples lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards. Weve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when theyre ready to take on a new career path, were right there with them, giving them the guidance and momentum into the best future they envision. Because we believe that the best way to back our customers is to back our people. The powerful backing of American Express. Dont make a difference without it. Dont live life without it. Function Description: The CFR team helps drive profitable business growth by reducing the risk of fraud and maintaining our customers' confidence in the security of our products. It utilizes an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve service and risk management as well as enable commerce and drive innovation. CFR is responsible for developing and monitoring statistical models for predicting individual and commercial' behaviors such as credit risk, fraud risk, spending and revolve. These models are used for key business decisions made across the customer life cycle to manage risk and accelerate profitable business growth. Underpinning our growth as a company are the tools and capabilities that ensure we prudently take and manage risk in a viable way Purpose of the Role: - The candidate would be part of the Global Credit Bust-Out (CBO) Modeling Team in Global Fraud Risk Management. - The candidate will be responsible for developing, validation, implementation and maintenance of next generation of CBO models. - In doing so, this person will work very closely with other members of the team in Gurgaon and Phoenix as well as various international market partners. Responsibilities: - Develop and enhance existing profitability based Credit Bust-out (CBO) risk management logic by leveraging best-in-class analytical techniques and data across Underwriting and Customer Management stages of the card member lifecycle - Application of machine learning techniques to create improvements and efficiencies in the existing processes - Exploration of new Information sources to improve our risk discrimination and / or improve our economics over and above existing framework - Partner with other teams across the globe to develop System Capabilities and other logic(s) that will help in more optimal decision Critical Factors to Success: - Business Outcomes: Drive Revenue growth and profitability through advanced analytical techniques; Innovation in use of Modeling Techniques and Variable creation - Leadership Outcomes: Put enterprise thinking first - connect the role's agenda to enterprise priorities and balance the needs of customers, partners, collegaues; Lead with an external perspective - challenge status quo and bring continuous innovation to our existing offerings while keeping a keen eye on industry/competition Qualifications Past Experience: - 0-3 years with relevant experience in Analytcial/Modeling Skills Preferred: Experience in R/Python programming and/or Statistical Modeling Academic Background: - Post Graduate in Statistics/Mathematics/Economics/ Engineering/Management Functional Skills/Capabilities: - Data Science/Machine Learning/Artificial Intelligence: Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees, Nearest Neighbour Technical Skills/Capabilities: - Analytics & Insights: Advanced Statistical Techniques; Data Correlation; GINI, Concordance, Precision, Recall; Deck Mechanics Knowledge of Platforms: - R, Python, SAS, SQL; Advanced Excel and Powerpoint Behavioral Skills/Capabilities: - Clear and candid communication (oral and written) - Attention to detail and high-quality execution; - Build collaborative and trusting relationships; - Manage multiple projects concurrently in an environment of tight deadlines Job type- Permanent Industry Type - Operations The Apply Button will redirect you to the website. Please apply there as well. #NOLI

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American Express - Business Analyst - Credit & Fraud Risk 

American Express - Business Analyst - Credit & Fraud Risk  ,Job Description for American Express - Business Analyst - Credit & Fraud Risk  in American Express in  Others for (0-3) years of experience. Apply Now!

Job Description for American Express - Business Analyst - Credit & Fraud Risk  in American Express in  Others for (0-3) years of experience. Apply Now!