Model Validator
On-site · New York City, New York, United States
Job Summary
The Model Validator is responsible for validating CLS models and maintaining model validation standards. Key responsibilities include conducting model validation activities and quality assurance for model risk reporting while communicating with CLS businesses on model risk matters. The role requires collaboration with Model Governance to ensure adherence to model governance standards. Candidates should have a Bachelor’s degree, preferably with an MS/MA or MBA, and 0-3 years of relevant experience. Proficiency in statistical tools like SAS, MATLAB, R, and Python is required, along with attention to detail and strong communication skills.
Required Qualifications
- 0-3 years’ experience in model risk management at a regulated financial institution
- Experience with numerical and statistical tools: e.g. SAS, MATLAB, S-Plus, R, Python, C++
- Attention to detail for accurate execution of model validation and reporting
- Knowledge of regulatory guidance on model risk management and industry best practice
- Knowledge of capital market products, especially FX
- Strong verbal and written communication skills
Desired Qualifications
- Understanding of settlement and clearing
- Knowledge of US Banking Regulations (Federal Reserve Board)
- Experience in working with statistical models
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