Degree in Computer Engineering
Java Programming, Analytical and Problem solving, Leadership, Python Programming, SQL, Machine learning techniques, Data science techniques, Data Modeling, Apache Hive, Statistics, Statistical modeling, Mathematics
The position will be a part of GCDS, Global Commercial Decision Science team working and collaborating with GCS model owners to automate and streamline model monitoring process, support the regulatory requirement, and drive and deliver on data strategy and analytical projects.
The role offers a highly dynamic and exciting environment, and the incumbent gets to work on Machine Learning predictive models and data science solutions for American Express Card and Non-Card products. They collaborate with partners in other Risk, Commercial Modeling teams, Consumer and Technologies to create world-class capabilities and solutions to support model monitoring regulatory requirements.
Key Responsibilities
Academic Qualifications
Technical Experience
Critical Factors to Success
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
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 striving to uphold our powerful backing promise to our customers and each other every day.
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