Credit Risk Model Manager

Simmons Bank•Dallas, TX

About The Position

The Credit Risk Analytics Manager develops, maintains, and enhances the Bank’s credit risk models, partnering with Lending, Technology, and Finance teams to deliver custom-tailored credit risk and projection models. The position supports credit risk modeling and governance, risk analytics, and data management initiatives. The role includes developing and maintaining models with Python, SQL, Excel, and Moody’s Analytics solutions, as well as maintaining model governance documentation in accordance with SR 26-02 guidance. It prepares support for independent model validation, internal audits, regulatory examinations, and management oversight, and addresses validation findings through documented corrective actions. The manager ensures model inputs, calculations, assumptions, and outputs are transparent, reproducible, and auditable, and prepares periodic Power BI reports or dashboards to monitor model performance and identify anomalies or unexpected results.

Requirements

  • At least 8 years of experience in loan portfolio or credit risk modeling, preferably at a financial institution.
  • Strong Excel and data analysis capabilities.
  • Experience working with large datasets and relational databases using SQL.
  • Knowledge of statistical and analytical techniques.
  • Proficiency 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 reports, procedures, business correspondence, and written responses to audit findings, customer complaints, regulatory agencies, or members of the business community.
  • Ability to translate complex quantitative concepts into actionable business insights and communicate them to non-technical audiences.
  • Ability to present information effectively in individual and small-group settings, including to customers, senior management, public groups, and boards of directors.
  • Strong analytical and problem-solving skills.
  • Strong project management and organizational skills.
  • Detail-oriented approach focused on accuracy and governance.
  • Ability to work independently and manage multiple priorities.

Nice To Haves

  • Postgraduate education in econometrics, quantitative finance, applied mathematics, statistics, or a related field.
  • Experience using Moody’s suite of credit risk models.

Responsibilities

  • Develop, implement, maintain, and enhance credit risk models using tools such as Python, SQL, Excel, and Moody’s Analytics solutions, including RiskCalc, CMM, PortfolioStudio, and related platforms.
  • Maintain model governance documentation in accordance with SR 26-02 guidance, including development documentation, methodology papers, conceptual soundness assessments, implementation testing, performance monitoring reports, user procedures, and inventory documentation.
  • Prepare analytical support and documentation for independent model validation, internal audit reviews, regulatory examinations, and management oversight committees.
  • Respond to validation findings, track issues through resolution, and ensure corrective actions are documented and implemented.
  • Ensure model inputs, calculations, assumptions, and reporting outputs are supported by transparent, reproducible, and auditable processes.
  • Promote model governance practices that support 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.
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