Credit Risk Model Manager

Simmons Bank•Little Rock, AR

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 role supports credit risk modeling and governance, risk analytics, and data management initiatives. The position develops and maintains credit risk models using Python, SQL, Excel, and Moody’s Analytics solutions. It also maintains model governance documentation in accordance with SR 26-02 guidance and provides analytical support for independent model validation, internal audits, regulatory examinations, and management oversight. The role monitors model performance and promotes transparent, reproducible, auditable processes and effective model governance.

Requirements

  • At least 8 years of experience in loan portfolio or credit risk modeling, preferably at a financial institution.
  • Experience using Moody’s suite of credit risk models.
  • Strong Excel and data analysis capabilities.
  • Experience working with large datasets and relational databases using SQL.
  • Knowledge of statistical and analytical techniques.
  • Proficiency 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 business insights.
  • Ability to present information effectively in one-on-one and small-group settings, including to customers, top management, public groups, and boards of directors.
  • 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.
  • MS Office skills.

Nice To Haves

  • Postgraduate education in econometrics, quantitative finance, applied mathematics, statistics, or a related field.

Responsibilities

  • Develop, implement, and maintain 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 model risk management 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 model 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 facilitate effective challenge, independent review, and examiner readiness.
  • Prepare periodic reports and dashboards using PowerBI to monitor model performance, anomalies, inconsistencies, or unexpected results.
  • Perform other duties and responsibilities as assigned.
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