The Data and Model Risk Credit Officer is responsible for independently making decisions to ensure the accuracy, reliability, and regulatory compliance of credit risk models and data governance frameworks. This role will play a crucial role in identifying risks in models used for loan underwriting, portfolio management, capital adequacy, and stress testing.

Principal Duties & Responsibilities:

• Lead independent model validation efforts for credit risk models (e.g., PD, LGD, EAD, stress testing models, IFRS 9/CECL models).
• Assess conceptual soundness, data inputs, statistical methodologies, and performance monitoring of credit models.
• Conduct rigorous backtesting, benchmarking, and sensitivity analysis to ensure model robustness.
• Identify and mitigate risks related to model bias, data quality, and overfitting.
• Ensure alignment with regulatory guidance (e.g., SR 11-7, Basel III, OCC, FDIC).
• Utilize independent judgment to analyze large-scale credit portfolios to detect emerging risks and validate risk segmentation strategies.
• Evaluate the impact of macroeconomic factors on credit models through scenario analysis.
• Making Advise on model-driven decision-making processes, ensuring models reflect business realities and risk exposure.
• Work with credit risk teams to refine risk measurement approaches and capital planning strategies.
• Establish and enforce data governance standards for credit risk modeling.
• Assess the quality, completeness, and accuracy of data used for credit risk analytics.
• Collaborate with data teams to improve data sourcing, integration, and validation processes.
• Ensure compliance with internal policies and industry best practices for data management.
• Ensure credit models adhere to global regulatory requirements (Basel III, IFRS 9, CECL, OCC, FED, ECB).
• Participates in regulatory exams, audits, and internal risk reviews by providing thorough model documentation.
• Develop and enhance policies related to model risk management.
• Collaborate with risk management, finance, compliance, and technology teams to enhance model governance.
• Present findings and recommendations to senior management, risk committees, and regulators.
• Mentor junior analysts and contribute to training programs on model risk best practices.
• Drive innovation by integrating advanced modeling techniques, including AI/ML-based credit models where applicable.

• 5+ years in credit risk modeling, model validation, or risk analytics within banking or financial services.
• Advanced knowledge of risk modeling techniques, Monte Carlo simulations, regression analysis, and time-series forecasting.
• Expertise in Python, R, SAS, SQL, MATLAB, or similar tools for data analysis and model validation.
• Understanding of Machine Language-based credit scoring and risk models (e.g., random forests, gradient boosting, neural networks).
• Deep knowledge of Basel III, SR 11-7, OCC/FED model risk guidelines, IFRS 9, CECL.
• Experience with credit scoring, PD/LGD/EAD modeling, stress testing, and loan portfolio risk assessment.
• Strong technical writing and policy development skills for regulatory submissions.
• Ability to lead cross-functional initiatives and communicate technical concepts to non-technical stakeholders.

Certifications:

• FRM (Financial Risk Manager), PRM (Professional Risk Manager), CFA, or CQF (Certificate in Quantitative Finance).

• Bachelors in Quantitative Finance, Economics, Statistics, Mathematics, Computer Science, or a related field.
• Masters in Quantitative Finance, Economics, Statistics, Mathematics, Computer Science, or a related field.

• Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
• Please view Equal Employment Opportunity Posters provided by OFCCP here.
• The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
• Reasonable accommodation may be made to assist individuals with disabilities to complete the online application process. Please contact our Human Resources Department at 305-577-7680 or by e-mail at employment@citynational.com.