Job Location: Gurgaon
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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. We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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 Fraud and Credit Best Out Modeling Team in Decision Science. They will be responsible for identifying fraud/CBO trends that can be solved using machine learning and data science and incorporating those enhancements in the development and implementation of next generation of ML based Fraud/CBO models. In doing so, this person will work very closely with other members of the team in India and US.
Responsibilities:
- 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
Academic Background:
- Graduate in Statistics/Mathematics/Economics/ Engineering/Management.
Past Experience:
- 2-4 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
- Preferred: Experience in R/Python programming and/or Statistical Modeling
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;
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
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, 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.
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