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SouthState Bank, N.A.

Model Risk Quantitative Analyst

SouthState Bank, N.A., Winter Haven, Florida, United States, 33884


As a leading regional bank, SouthState has been providing financial solutions to individuals, families, and businesses in the Southeast for more than 100 years. SouthState team members strive to create remarkable experiences while building meaningful and lasting relationships. We are proud to be a reflection of the communities we serve, and our team members share core values that make SouthState a great place to bank, and a great place to work.Position is responsible for providing critical analysis of model assumptions, methodologies, data and calculations to determine a model's suitability based on its intended business use. Position must ensure compliance with SR 11-7 (Supervisory Guidance on Model Risk Management) and the Model Risk Management Policy and Program. Position will serve as a model subject matter expert with the ability to determine scope and necessary testing of model validations, prepare model validation scripts, complete internal model validations, facilitate external model validations, and interpret model validation results.Additional Job Description ESSENTIAL FUNCTIONS

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Develop a working knowledge of models so as to be the department's subject matter expert on modelsOffer effective challenge of models, including model assumptions, methodologies, data and calculations at all phases of the model life cycleEnsure adequacy of model developmental and implementation testing and perform statistical testing and analysis on developed models as needed, to include, regression testing, quantitative analysis, and other procedures necessary to validate model integrity and accuracy.Perform internal model validations as assignedDevelop and execute Model Validation Script including model validation scope, model testing requirements and model testing methodologiesDevelop challenger models as needed to support Model Validation processesCoordinate and manage internal and external model validations with business units and validation firms and oversee the content of model validation reportsReview and effectively challenge completed model validations to ensure compliance with Model Validation Script, and confirm that validations are complete, thorough, accurate, and factualPrepare and distribute Model Validation Executive Summary with completed Model Validation Report to model owners and review model validation resultsWork with business units to develop ongoing monitoring plans, ensuring the implementation of appropriate model testing and monitor test results to ensure the model is performing as intendedPrepare reports and present assigned information to the Model Risk Management Committee

COMPETENCIES

High level quantitative and analytical skillsAbility to perform Model Validations on complex modelsAbility to develop challenger models when needed as part of a Model ValidationAbility to manage responsibilities and shift priorities in a fast paced and changing environmentCapability to work within a team to collaborate on ideas, problem solving, and solutionsStrong oral and written communication skills and the ability to interact with people at all levels of the organizationAbility to explain and teach complex models and quantitatively based technical information completely and accuratelyStrong work ethic with desire to conduct business research to support ideas and solutions to required processes in the Model Risk Management frameworkCommitment to meeting deadlines and achieving assigned goals

Qualifications and Education Requirements

Education:Advanced degree in a quantitative discipline such as Economics, Quantitative Finance, Statistics, or related quantitative disciplineExperience:M.S. or above in quantitative discipline (statistics preferred) with substantial experience (5+ years) in advanced statistical modeling (e.g. predictive modeling, forecasting, cluster analysis)Experience using a variety of advanced modeling techniques- logistic regression, general linear and nonlinear modeling, survival analysis, clustering, time series, etc.Experience with regression methodologies, loss forecasting and other programming and data analysis using R or SASExperience in independent oversight/ validation of data analysis and modeling projectsExperience engaging in quantitative analysis on many non-standard business problems.

Soft SkillsThe ability to communicate complex issues with both nontechnical and technical personsAbility to build strong relationships while challenging and influencing people in a constructive mannerExcellent mathematical, analytical, and problem-solving skillsThe ability to handle multiple projects simultaneouslyDemonstrated knowledge of software packages used in business communications such as Word or ExcelStrong written and oral communication skills

Knowledge:Proficiency in statistical software such as R or SASFamiliarity with relational databases and SQLAdvanced Excel KnowledgeKnowledge of banking/ Generally Accepted Accounting Principles

TRAINING REQUIREMENTS/CLASSES

Required annual compliance training

40 hours of risk based annual training

RECOMMENDED ADDITIONAL TRAINING

New Employee Orientation

Supervisory Responsibility

This position does not have supervisory responsibilities

PHYSICAL DEMANDS/WORK ENVIRONMENT

Must be able to stand and/or sit for long periods of time. Must be able to effectively access and interpret information on computer screens, documents, reports, and cash denominations, and identify customers.

TRAVEL

This position may require minimal travel.

Benefits: Benefits | SouthState Careers (southstatebank.com)Job Details:In accordance with Colorado law: Colorado pay for this position is anticipated to be between $70,000 to $100,000, actual offers to be determined based on applicant's skills, experience and education.While the anticipated deadline for the job posting is November 30, 2024, we encourage you to submit your application as we may still consider qualified candidates beyond this date.