Neha Singh 
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar 
Service Delivery Lead

Rohit Bairagi 
Lead Credit Specialist

Job Description : Why American Express? - There's a difference between having a job and making a difference. - American Express has been making a difference in people's 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. - We- ve 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 they- re ready to take on a new career path, we- re right there with them, giving them the guidance and momentum into the best future they envision. Function Description : - The Credit &amp; Fraud Risk (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. - As a part of Global Commercial Credit Risk Decision Science person is responsible for developing and monitoring statistical models for predicting individual and commercial credit risk. These models are used for key business decisions made across the customer life cycle to manage risk and accelerate profitable business growth Purpose of the Role : - Develop and enhance existing American Express risk strategies / statistical models by leveraging best-in-class modeling techniques and data across various stages of card member lifecycle Critical Factors to Success : Responsibilities : - Drive billing, revenue growth and profitability through advanced analytical techniques - Maximize business returns by institutionalizing efficient and accurate models. - Innovate Modeling Techniques and Variable creation - Ensure 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 &amp; 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 : - 0-3 years relevant experience in Analytical/Modelling Skills Academic Background : - Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management Functional and Technical Skills/Capabilities : 1. Analytics &amp; Insights &amp; Targeting - SAS, R, Python, Hive, Pyspark, 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 - Gradient boosting machines, self-reinforcing algorithms Knowledge of Platforms : - Big Data - Cornerstone, Teradata, BlueLight Job type- Permanent Industry Type - Operations The Apply Button will redirect you to website. Please apply there as well. #NOLI

Gurgaon/Gurugram

American Express - Business Analyst/Assistant Manager - Credit & Fraud Risk 

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

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