Model Development Analyst

Synovus

. Independently validate highly complex, high-impact enterprise models, including Machine Learning and Artificial Intelligence models .

Posted 9/19/2026full-timeIllinois • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in model validation and risk management, with a strong focus on Machine Learning and Artificial Intelligence applications. Capable of conducting comprehensive validations and presenting findings to senior management while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Model ValidationMachine LearningArtificial IntelligenceModel Risk ManagementRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisEmpirical Evidence ReviewBack-TestingBenchmarkingOutcome AnalysisFraud MonitoringCybersecurityCredit ScoringMarket RiskOperational Risk

Soft Skills

DocumentationPresentation SkillsMentoringConsultationCollaboration

Industry Keywords

BSA/AML/OFACConsumer ComplianceFinanceAccountingCapital AdequacyStress TestingModel DevelopmentOperational ControlsModel MaintenanceRegulatory Feedback

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Independently validate highly complex, high-impact enterprise models, including Machine Learning and Artificial Intelligence models
Work with model owners, developers, and users to perform comprehensive validations in compliance with regulatory guidance and company policies
Review and challenge model assumptions, theory, empirical evidence, implementation, limitations, results, and reporting context
Validate models and analytical tools across fraud monitoring, cybersecurity, credit scoring, marketing, BSA/AML/OFAC, Consumer Compliance, market risk, operational risk, strategic risk, finance and accounting, pricing, valuation, capital adequacy, and stress testing
Document and present observations to stakeholders; recommend management action plans and track remediation
Present validation results to Executive or Senior Management as appropriate
Conduct ongoing monitoring, implementation reviews, outcome analysis, back-testing, and benchmarking
Provide oversight and execute model risk management policies and procedures
Consult with model owners, developers, and users on model development and operational controls
Support quantitative and qualitative reporting for data-driven business decisions and regulatory and risk compliance
Review model maintenance and enhancements implemented to address regulator feedback
Monitor modeling trends, techniques, tools, best practices, and emerging technology opportunities
Mentor, train, and guide less experienced team members
Participate in innovations enhancing model validation and governance processes
Identify, report, and escalate known or suspected policy, legal, regulatory, or risk-limit violations
Perform other related duties as required

Requirements

What you’ll need

Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, or Economics, or an equivalent combination of education and experience
10 years of related work experience, or relevant Master's degree with five years of related work experience (three if in financial services), or Ph.D. in relevant quantitative discipline with three years of related work experience in financial services
Knowledge of model validation, model risk management, Machine Learning, and Artificial Intelligence approaches
Ability to validate models and analytical tools across fraud monitoring, cybersecurity, credit scoring, marketing, BSA/AML/OFAC, Consumer Compliance, market risk, operational risk, strategic risk, finance and accounting, loan pricing, deposit pricing, loan valuation, and capital adequacy including stress testing
Ability to review assumptions, theory, empirical evidence, implementation, limitations, results, and reporting context
Ability to document and present observations and recommendations to model owners, developers, users, and senior management
Knowledge of ongoing monitoring, back-testing, benchmarking, and outcome analysis
Ability to oversee and execute model risk management policies and procedures
Ability to consult on model development and operational controls
Ability to remain current on modeling trends, techniques, tools, and best practices
Ability to mentor and train less experienced team members
Must comply with applicable policies, procedures, laws, regulations, and risk limits
May sit or stand for long periods; regularly talk, hear, climb, bend, kneel, crouch, or crawl; use hands and reach; see objects up close or at a distance and identify basic colors
Up to 10 pounds of weight lifting/force exertion required
Travel required less than 25% of the time
Driver's license not required

Benefits

Comp & perks

Equal Opportunity Employer committed to fostering an inclusive work environment