Quant Analytics Assoc - Model Risk

Location:127 Public Square, Cleveland OhioABOUT 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 FUNCTIONSPerform 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 justifiedPresent findings, weakness and/or observations identified from the validation/review to model developers/owners to ensure executable finding remediationsPrepare detailed validation reports and memos that document the validation approach, findings, and conclusionsREQUIRED QUALIFICATIONSBachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplinesOne year of relevant analytics or modeling experience, or a graduate degree in a related fieldExperience in data handling, performing data transformations and data cleaning.Experience in statistical testing and root-cause analysisExperience 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 SASExcellent written and verbal communication skills to clearly articulate complex technical findings to both technical and non-technical stakeholdersEXPECTED COMPETENCIESLeadership: Will work under supervision; Starting developing skills to solve various problems independently and communicate effectivelyPartnering / Influencing: Strong relationship building ability; Strong interpersonal skills; Developing ability for effective discussion with business partners, technology, etc.Business Acumen: Developing understanding of business operation, key drivers of financial results and business impact; Developing knowledge of our competition and industry; Possesses intellectual curiosityCritical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; Understands impacts / intersections with other business partners / LOBs; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decisionCommunication: Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is presentCOMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $68,000.00 - $103,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation subject to individual and co

Created: 2025-12-04