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Posted: 10/19/2026Credit Risk Model Manager
Simmons BankCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining credit risk models using Python, SQL, and Moody’s Analytics solutions, while ensuring compliance with model governance standards and regulatory requirements. Strong analytical skills are essential for interpreting complex quantitative data and effectively communicating insights to diverse audiences.
Highest-signal resume keywords
Credit Risk ModelingPython ProgrammingSQL Database ManagementMoody’s Analytics SolutionsQuantitative Analysis
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop, implement, and maintain credit risk models using Python, SQL, Excel, and Moody’s Analytics solutions, including RiskCalc, CMM, and PortfolioStudio
- Maintain comprehensive model governance documentation in accordance with SR 26-02 model risk management guidance
- Prepare analytical support and documentation for independent model validation, internal audit reviews, regulatory examinations, and management oversight committees
- Respond to validation findings, track issues to resolution, and ensure corrective actions are documented and implemented
- Ensure model inputs, calculations, assumptions, and reporting outputs are transparent, reproducible, and auditable
- Promote strong model governance practices supporting effective challenge, independent review, and examiner readiness
- Prepare periodic reports and dashboards using Power BI to monitor model performance, anomalies, inconsistencies, and unexpected results
- Perform other duties and responsibilities as assigned
Requirements
What you’ll need- Proficient in reviewing and interpreting model documentation and research materials with a strong focus on quantitative and statistical analysis
- Ability to read and interpret regulatory guidance and internal procedure documentation
- Ability to write routine reports, procedures and business correspondence
- Ability to respond in writing to audit findings, customer complaints, regulatory agencies or members of the business community
- Ability to translate complex quantitative concepts into actionable and meaningful business insights
- Ability to effectively present information in one-on-one and small group situations, to customers, top management, public groups and/or boards of directors
- MS/MA degree; post graduate education in econometrics, quantitative finance, applied mathematics, statistics, or related field is preferred
- 8+ years’ experience in loan portfolio/credit risk modeling, preferably at a financial institution
- Experience using Moody’s suite of credit risk models
- Strong Excel and data analysis capabilities; MS Office programs
- Experience working with large datasets and relational databases utilizing SQL
- Knowledge of statistical and analytical techniques
- Strong analytical and problem-solving skills
- Ability to communicate complex concepts to non-technical audiences
- Strong project management and organizational skills
- Detail-oriented with a focus on accuracy and governance
- Ability to work independently and manage multiple priorities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Credit Risk ModelingPython ProgrammingSQL Database ManagementStatistical AnalysisData AnalysisModel Governance DocumentationExcel ProficiencyPower BI ReportingModel ValidationRegulatory Compliance
Soft Skills
Analytical Problem-SolvingEffective CommunicationProject ManagementDetail-OrientedOrganizational Skills
Tools & Technologies
Moody’s Analytics SolutionsPower BIMS Office SuiteRiskCalcCMMPortfolioStudio
Industry Keywords
Model Risk ManagementRegulatory GuidanceLoan Portfolio ManagementQuantitative FinanceEconometrics