Neha Singh 
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar 
Service Delivery Lead

Rohit Bairagi 
Lead Credit Specialist

Job Description 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 companies 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 fraud models by leveraging best-in-class modeling techniques and data across various stages of card member lifecycle. Responsibilites: 1. Develop and enhance statistical models by utilizing the best-in-class modeling techniques with available data. 2. Track and monitor the performance of fraud models and conduct reviews. 3. Evaluate new data sources/new variables for their efficacy in discriminating between fraudulent and genuine transactions based on statistical techniques and business judgment. 4. Partner with other teams to develop system capabilities, models, controls and designing data elements. 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: - 0-6 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 Functional 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 Technical Skills/Capabilities: - 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

Haryana

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  Gurgaon/Gurugram Haryana for (0-6) years of experience. Apply Now!

Job Description for American Express - Business Analyst - Credit & Fraud Risk  in American Express in  Gurgaon/Gurugram Haryana for (0-6) years of experience. Apply Now!