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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: - Develop and enhance existing American Express statistical models by leveraging best-in-class modeling techniques and data across various stages of card member lifecycle Responsibilities: - The manager will be responsible for leading a team of 2 people and is expected to work on Line Assignment Modeling with specialities in Machine Learning and Data Science. The responsibilities include: - Develop, implement and monitor Line assignment models for non US markets - Develop, implement and monitor Machine Learning models to predict Spend and Balance for prospects and existing customers - Develop and enhance existing profitability based risk management logic by leveraging best-in-class analytical techniques and data across Acquisition, Underwriting or Customer Management stages of the card member lifecycle - Lead the analytics for driving billing, revenue growth and profitability through diverse analytical projects spanning across Underwriting, Line Management, Yield Management, Lending on Charge and Central Lending Capabilities - Application of machine learning techniques to create 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 billing, revenue growth and profitability through advanced analytical techniques - Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning - Innovate 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, colleagues & shareholders. - Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings - Demonstrate learning agility, make decisions quickly and with the highest level of integrity - Lead with a digital mindset and deliver the world's best customer experiences every day Qualifications : Past Experience: - 3-5 years with relevant experience in Analytical/Modelling Skills Preferred: Experience in R/Python programming and/or Statistical modeling Academic Background: Post Graduate in Statistics/Mathematics/Economics/ Engineering/Management Technical Skills/Capabilities: - 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 - Deep learning - Gradient boosting machines, self-reinforcing algorithms - Analytics & Insights & Targeting o R, Python, C, C++, Java, SAS SQL - Advanced Statistical Techniques - Data correlation - Model Accuracy Techniques : Gini, Concordance, F-Score Knowledge of Platforms: - Hadoop, - Big Data - Cornerstone Behavioral Skills/Capabilities : Enterprise Leadership Behaviors : - Set The Agenda : Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective - Bring Others With You : Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential - Do It The Right Way : Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great - Leadership Demands Courage Job type - Permanent Industry Type - Operations The Apply Button will redirect you to website. Please apply there as well. #NOLI

Gurgaon/Gurugram

American Express - Manager - Credit Fraud Risk - Machine Learning & Data Science 

Job Description for American Express - Manager - Credit Fraud Risk - Machine Learning & Data Science  in American Express in  Gurgaon/Gurugram for (3-5) years of experience. Apply Now!

American Express - Manager - Credit Fraud Risk - Machine Learning & Data Science  | iimjobs.com