The Data Science and Capability team is a Center of Excellence within CCB Card Modeling focusing on ensuring that the data used in CCB Card models and strategies is of superior quality. The team uses both traditional techniques and advanced techniques like Artificial Intelligence to ensure the same.

Team’s focus is on quality and consistency of existing and new data attributes, developing critical data capability that help derive actionable insight using modern tools and techniques. We are looking for candidates with demonstrated extensive knowledge of data science techniques, strong statistical analysis skills, and expertise in logic and attention to details. In this critical role, the candidate will be responsible for the quality of data and attributes used in Machine Learning Models to safeguard our business and derivation of recent information / attributes to identify new opportunities for revenue growth and risk mitigation in card business.



The successful candidate must have demonstrated experience working with a wide range of stakeholders and functional teams and be able to effectively communicate results to senior management

Card Risk Modeling - Data Science and Capability Team (Associate)

• Design and development of attribute library to drive consistency and improve quality of data used for machine learning models throughout the customer lifecycle (acquisition, account management, transaction authorization and collection)

• Work closely with the senior management team and utilize cutting-edge machine learning approaches to develop innovative attributes and machine learning modeling solutions, deliver them into production

• Manage attribute quality testing and monitoring by leveraging modern techniques to identify data and attributes issues, patterns, improve attributes accuracy, consistency and establish warning systems / tools

• Evaluate the effectiveness and accuracy of new data sources and data gathering techniques

• Collaborate with various partners

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