QuantAnalyticsAssoc-ModelRisk

**Location:** 127 Public Square, Cleveland Ohio **ABOUT THE JOB (JOB BRIEF)** As a Quantitative Analytics Associate, under supervision, you will be responsible for the independent validation and review of the bank's various risk models. This role is intended to ensure that models are functioning properly, comply with regulatory requirements, and associated risks are accurately identified, measured, and reported to senior management. Specifically, you will be performing in-depth validations and reviews of new and existing models used across the bank, including those designed for mitigating of Fraud Risk, Compliance Risk (such as AML, OFAC), Credit Risk (such as CECL), Market Risk/Treasury/Liquidity Risk, etc. **ESSENTIAL JOB FUNCTIONS** * 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 **REQUIRED QUALIFICATIONS** * 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 method