Dir-Risk & Info Management

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Job Description

Overview: American Express is a global services company and the world’s largest card issuer. Our direct relationships with many millions of consumers, businesses and merchants worldwide - combined with our leading-edge marketing, information management and rewards capabilities enable us to offer an array of valuable services that enrich lives, build business success, encourage financial responsibility and create communities of people with common interests.

American Express for 11th consecutive year has been voted among India’s top 10 workplaces by the Great Place to Work institute. In recognition of our consistent performance, we were nominated to the Great Place to Work “Hall of Fame”.

At American Express, we serve customers, not transactions. We’re widely known for providing superior customer service and have been recognized for a number of achievements including being ranked highest in customer satisfaction within the credit card industry by J.D. Power for seven consecutive years.

A career at American Express is rich in experience and offers opportunities to build lasting relationships with our customers.


The incumbent will be a member of Global Credit & Fraud Risk (CFR) Decision Science’s team reporting into Vice President, Machine Learning & Data Science Research and will lead a team of 10-12 Machine Learning Scientists and risk professionals based out of Bangalore. The incumbent is expected to provide thought leadership and drive strategic initiatives and focus on Machine Learning Research for credit and risk portfolios and explore new Consumer/Commercial data sources to enhance decision science across portfolios.

Specific responsibilities include:

• Identify and evaluate new Machine Learning & Deep Learning algorithms / techniques for application in credit & fraud risk

• Develop and enhance existing models by utilizing the best-in-class ML modeling techniques

• Evaluate new data sources – internal and external, as well as new variables designed from extensive case reviews for their efficacy in the models

• Be well versed in the model governance processes

• Work closely with members of the strategy teams located in multiple geographies to ensure seamless implementation.

• Lead a highly skilled machine learning research team and drive and deliver projects across CFR use cases



• Ph.D. or Master’s degree with specialization in machine learning, business, statistics, mathematics, engineering or related fields is strongly desired

• 8+ years of experience in building and implementing machine learning models in a corporate setting and/or conducting ML research in an academic setting

• Strong analytical and project management skills and ability to prioritize and manage multiple initiatives simultaneously

• Winning attitude that motivates and develops people, and proven results orientated.

ReqID: 19020996
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Dec 3, 2019, 3:47:57 AM