American Express is looking to manage and control model risk associated with next generation Artificial Intelligence or Machine Learning based models to elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.
Requirements
- Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have
- Hands-on model development or validation experience.
- Strong Analytical skills for driving validation initiatives.
- Experience with NLP / NLU model and chatbot frameworks would be preferred.
- Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
- Bachelor's required In Economics, Statistics Or Related Fields
- Master's degree preferred.
Responsibilities
- Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.
- Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
- Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact
- Communicating results to partners, senior leadership and various model committees
- Drive billing, revenue growth and profitability through advanced analytical techniques
- Maximize business returns by institutionalizing efficient and accurate models.
- Innovate modeling techniques and variable creation
Other
- Business Outcomes: Drive billing, revenue growth and profitability through advanced analytical techniques
- Leadership Outcomes: Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
- Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
- Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
- Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
