Lead Model Validation

About the role

You will serve as a contributor within the second line of defense, performing independent model validations and supporting the oversight of the Model Risk Management (MRM) program. Validate a broad range of models used across credit risk, treasury management (ALM), finance, underwriting, and related areas, including both traditional statistical models and artificial intelligence (AI) models.

Responsibilities

• Independently execute model validations that are accurate, timely, and compliant with MRM policies, standards, and procedures across credit, market, operational risk, loss forecasting, stress testing, ALM, AML, fraud, pricing, and CECL models.
• Apply sound analytical judgment to evaluate model input data, conceptual soundness, performance, implementation, and governance.
• Prepare and document validation reports, including findings, conclusions, and actionable recommendations for model owners and management.
• Partner with AI Governance stakeholders to assist with review and onboarding on new AI solutions.
• Audit ongoing performance monitoring results and identify potential model weaknesses, emerging risks, and areas requiring remediation.
• Support the ongoing enhancement of model validation methods, tools, templates, and practices in alignment with evolving regulatory guidance and industry standards.
• Review and challenge validation work performed by third-party vendors, including evaluation of methodologies, conclusion quality, and appropriateness of findings.
• Partner with first-line model owners and users to support effective issue management, remediation planning, and closure of validation findings.
• Present validation results and risk assessments to MRM leadership and other stakeholders in a professional and constructive manner.
• Support model risk governance activities, new model onboarding, including inventory maintenance, periodic inventory recertification, and inventory reporting to applicable committees per MRM Standard.

Requirements

• Minimum - 4 Year Bachelors Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
• Preferred - Graduate Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
• Minimum - 5 Years of Build, test, implement, or validate models within the financial services industry or related
• Preferred - 7 Years of Build, test, implement, or validate models within the financial services industry or related

Qualifications

• In Lieu of Education 8 Years of Build, test, implement, or validate models within the financial services industry or related

Skills

• Sound analytical judgment
• Ability to evaluate model input data, conceptual soundness, performance, implementation, and governance
• Proficiency in preparing and documenting validation reports
• Experience with AI Governance and review of new AI solutions
• Knowledge of auditing ongoing performance monitoring results and identifying potential model weaknesses
• Experience in enhancing model validation methods, tools, templates, and practices
• Ability to review and challenge validation work performed by third-party vendors
• Experience in presenting validation results and risk assessments to MRM leadership and other stakeholders
• Experience in supporting model risk governance activities, new model onboarding, including inventory maintenance, periodic inventory recertification, and inventory reporting to applicable committees per MRM Standard

Benefits

Compensation range: $95,100.00 to $163,100.00 annually. Benefits include health care, vision, dental, and 401k with employer match, annual performance bonus, work from home up to 3 days a week, paid parental leave, employee discount programs, time off including paid personal and sick days, 11 paid holidays, and education reimbursement. Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.