Truist Financial Corporation is looking to solve model risk management related tasks by performing advanced level model validation for the corporation, focusing primarily on model validation and quantitative analysis.
Requirements
- Basic computer programming skills (Python, MatLab, SAS, VBA, etc.).
- Advanced competency programming in languages such as Java, C++, TensorFlow, SAS etc.
- Exposure to one or more financial modeling disciplines such as credit score modeling, asset-liability management, stress testing, term structure modeling, fraud detection, value-at-risk, capital planning models, loan loss reserve (CECL) modeling, etc.
Responsibilities
- Independently perform model validations spanning credit risk, market risk, and capital planning domains to assess fit for purpose, conceptual soundness, mathematical theory and construct, assumptions, data/assumptions, and output reasonableness.
- Work with Senior Model Validation Officer on more complex model validation findings and remediation.
- Evaluate other model controls such as model performance tracking, change management, access control, and documentation.
- Evaluation of validation findings remediation activity including analytical evaluation of residual risk.
- Document validation effort in the form of a written report.
- Directly support and assist in the duties of the Senior Model Validation Officer.
Other
- Master's degree in a quantitative discipline or equivalent education and related training.
- Excellent communication (verbal and written), organizational and interpersonal skills.
- High attention to detail and ability to think at the organizational level.
- Ph.D. in quantitative finance, mathematics, statistics or a related field.
- One or more of CFA/PRM/FRM professional designation.
