Job title: Analyst – Machine Learning, Fraud Risk
Company: American Express
Job description: Job Description:
You Lead the Way. We’ve Got Your Back.
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.
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 Fraud Machine Learning Research Team in Decision Science. He / She will be required to study the latest research material in machine learning domain and apply the same in Amex Fraud/CBO use case. The candidate will be responsible for developing, validation, implementation, and maintenance of next generation of ML Fraud/CBO models. In doing so, this person will work very closely with other members of the team in Gurgaon and NY.
Develop new and enhance existing Fraud / CBO prevention Models by leveraging best-in-class analytical techniques and data.
Application of machine learning techniques to create improvement and efficiencies in the existing processes.
Exploration of new machine learning algorithms to improve our risk discrimination.
Partner with various Machine Learning teams across the globe to develop System Capabilities and other solutions/logic that will help in more optimal decision.
1-3 years with relevant experience in Analytical/Modeling Skills
Proven experience of 1-3 with machine learning algorithms.
Knowledge of a usage of machine learning in industry and latest innovation.
Experience in R/Python programming and/or Statistical Modeling
Post-Graduate in Statistics/Mathematics/Economics/ Engineering/Management
Data Science/Machine Learning/Artificial Intelligence: Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees, Nearest Neighbour
Analytics & Insights: Advanced Statistical Techniques; Data Correlation; GINI, Concordance, Precision, Recall; Deck Mechanics
R, Python, SAS, SQL; Advanced Excel and Powerpoint
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
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.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations
Location: Gurgaon, Haryana
Job date: Thu, 15 Jul 2021 22:20:25 GMT