Senior Credit Risk Model Lead — Governance & Analytics

Simmons Bank; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

The Credit Risk Analytics Manager at Simmons Bank will lead the development and maintenance of credit risk models, partnering with Lending, Technology, and Finance teams to deliver robust projections. You will oversee governance, documentation, and model validation processes, ensuring transparent, auditable outputs and examiner readiness.

Responsibilities include building dashboards with PowerBI, interpreting results for senior management, and guiding data management initiatives across large

Qualifications

• MS/MA in econometrics, quantitative finance, applied mathematics, statistics, or related field preferred.
• 8+ years of loan portfolio/credit risk modeling experience at a financial institution.
• Experience using Moody’s suite of credit risk models.

Responsibilities

• Develop, implement, and maintain credit risk models using Python, SQL, Excel, and Moody's Analytics solutions.
• Maintain model governance documentation per SR 26-02 guidance; include development docs and validation records.
• Prepare analytical support for model validation, audits, regulatory examinations, and oversight committees.
• Ensure inputs, calculations, assumptions, and outputs are transparent, reproducible, and auditable.
• Develop periodic reports and dashboards with PowerBI to monitor model performance.

Skills

Quantitative analysis

Regulatory interpretation

Technical communication

Project management

Independent work

Education

MS/MA in econometrics or related

Tools

Moody's Analytics

SQL

Excel

PowerBI

RiskCalc

CMM

PortfolioStudio

Job description

The Credit Risk Analytics Manager at Simmons Bank will lead the development and maintenance of credit risk models, partnering with Lending, Technology, and Finance teams to deliver robust projections. You will oversee governance, documentation, and model validation processes, ensuring transparent, auditable outputs and examiner readiness.

Responsibilities include building dashboards with PowerBI, interpreting results for senior management, and guiding data management initiatives across large