Python Programming, SQL, Natural Language Processing (NLP), Algorithms, Econometrics, Statistical modeling, Decision Science
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. 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 Global Commercial Analytics (GCA) team – a part of Global Strategy & Operations, GCS – is the analytical engine that enables the Global Commercial Card business. The team drives Profitable Growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities.
Purpose of the Role
This B35 role would be a part of GCA Global Prospecting Capabilities team, based out of Gurgaon, India, and will be responsible for AI/ML matching framework, tech platform expertise to build the commercial prospect database & optimize usage. You will be challenged with crafting and crafting world class prospect marketing analytics by leveraging machine learning and sophisticated methodologies.
Responsibilities
Critical Factors to Success
Academic Background
Graduate degree in a quantitative field (Finance, Engineering, Mathematics, Computer Science or Economics) is required.
Behavioral areas
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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