Job Description

Work Location Options:

Hybrid

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

The incumbent would be part of the Commercial Data Science & Model Integration team reporting into the Manager - Commercial Collections and Credit Data Science, key responsibilities include, but are not limited to:

• Support the Commercial Collections and Credit Data science practices to drive model usage and tackle business opportunities through model enhancements
• Innovate modeling techniques and variable creation
• Incorporate new data intelligence from consumer, commercial bureau & internal datasets into commercial credit risk models
• Conduct AI/ML research to explore opportunities in order to elevate model excellence and drive business impact 
• Review customer cases to identify new model/variable opportunities

Minimum Qualifications

• 0-2 years of experience in Analytics, Data Science, Machine Learning or related fields
• Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management from Top Tier Institutes

Functional Skills/Capabilities

• Proficiency & experience in econometric, statistical, analytical and ML techniques
• Proficiency in ML languages (Python; PySpark) and SQL/Hive
• Ability to drive project deliverables to achieve business results
• Ability to work effectively in a team environment
• Strong communication and interpersonal skills
• Ability to learn quickly and work independently with complex, unstructured initiative