American Express is looking to manage and control model risk, specifically associated with capital planning (CCAR), CECL, and economic capital models and frameworks. The goal is to elevate model excellence, strengthen long-term shareholder value, and adapt to the changing landscape of model development innovation, the external environment, and heightened regulatory expectations.
Requirements
- Hands-on model development or validation experience.
- Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
- Experience with at least one of the data manipulation tools such as Python, Py Spark etc. is a must have.
- Data Science/Traditional Modeling, Expertise in Coding, decision trees, Gaussian processes, Bayesian models, Gradient Boosting, Understanding of finance and valuation concepts.
Responsibilities
- Conduct independent validation of models with a focus on capital planning (CCAR), CECL and economic capital.
- Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
- Conduct research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact
- Communicating results to counterparts and senior leadership
- Drive more sound and robust modeling practices by thoughtful review and assessment with advanced analytical techniques
- Demonstrate quality of model risk management by effective challenge and thorough documentation
- Innovate modeling techniques and variable creation
Other
- Preferred 5+ years’ experience in Capital planning (CCAR) modeling and/or model risk management, with a GSIB
- Strong Analytical and Relationship and project management skills for driving validation initiatives.
- 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.
- Effectively communicating complex Analytical results to Business Partners and Senior Management.
