[Remote] Quant Analytics Assoc - Model Risk
Note: The job is a remote job and is open to candidates in USA. KeyBank is a financial institution that is seeking a Quantitative Analytics Associate to ensure the independent validation and review of various risk models. This role involves validating new and existing models, focusing on risk identification, measurement, and reporting to senior management.
Responsibilities
- Perform hands-on quantitative model validation/review under supervision. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques, such as back-testing, benchmarking, sensitivity analysis, stress testing, etc
- Provide an effective challenge throughout the model validation/review to ensure that models are robust, and all assumptions and limitations are justified
- Present findings, weakness and/or observations identified from the validation/review to model developers/owners to ensure executable finding remediations
- Prepare detailed validation reports and memos that document the validation approach, findings, and conclusions
Skills
- Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines
- One year of relevant analytics or modeling experience, or a graduate degree in a related field
- Experience in data handling, performing data transformations and data cleaning
- Experience in statistical testing and root-cause analysis
- Experience in traditional and AI/ML model development or validation, with a good understanding of quantitative modeling methods (including AI/ML algorithms) used for various risk predictive models, such as fraud risk, AML risk models, etc
- Proficiency in programming languages such as Python, R, SQL or SAS
- Excellent written and verbal communication skills to clearly articulate complex technical findings to both technical and non-technical stakeholders
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