Overview
Skills
Job Details
Model Risk Manager - Remote Role
Open to candidates residing anywhere in Texas, Louisiana, Florida, Georgia, Colorado, Illinois, Oklahoma, Arkansas, or North Dakota
The Model Risk Manager is responsible for overseeing model governance, validation, and regulatory compliance across the organization. This role leads cross-functional collaboration, coordinates with key stakeholders, and supports enterprise-wide training initiatives related to model risk. The Manager ensures that all models and AI systems adhere to ethical, legal, and performance standards through rigorous due diligence, ongoing monitoring, and effective challenge. This is a high-visibility leadership position with regular exposure to C-level executives and meaningful opportunities for growth, strategic influence, and cross-departmental collaboration.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Validation and Testing
Conduct validation and testing of models and non-model tools in accordance with SR 11-7 supervisory guidance.
Review and evaluate model documentation, methodologies, assumptions, limitations, and performance metrics.
Issue clear, structured findings and recommendations to support risk mitigation and regulatory compliance.
Model Governance
Oversee administration of the Model Risk Management Committee.
Manage the full model lifecycle, including issue management, risk assessments, and maintenance of accurate model inventories.
Monitor model performance and prepare comprehensive reporting on model risks for senior leadership and regulators.
Effective Challenge
Provide independent, evidence-based challenge of models and critical tools.
Perform sensitivity analyses, research underlying assumptions, and develop challenger models or benchmark comparisons to validate robustness.
Onboarding and Monitoring
Establish onboarding procedures and ongoing monitoring frameworks for models and AI systems.
Conduct periodic reviews and updates informed by new data, stakeholder feedback, regulatory developments, and technological advancements.
Coordination with Stakeholders
Collaborate closely with teams across data science, business units, compliance, internal audit, operations, and technology.
Gather, analyze, and communicate information related to model risks and ensure alignment with broader risk management strategies.
Training and Development
Provide training sessions to staff on risk management principles, model governance processes, and regulatory expectations.
Foster a culture of risk awareness, transparency, and continuous improvement throughout the organization.
Regulatory Compliance
Ensure full adherence to BSA/AML/CFT and Sanctions requirements as outlined in Bank Policy and Procedure.
Complete all required compliance training accurately and on time.
Secondary Duties
Perform additional assignments and responsibilities as directed by management to support organizational goals.
SUPERVISORY RESPONSIBILITY
This position may oversee office staff and is expected to provide strong leadership, mentorship, and support to team members. Responsibilities may include coaching, performance guidance, workflow coordination, and maintaining a productive, compliant work environment.
ENVIRONMENT AND PHYSICAL ACTIVITY
Work is performed in a typical office setting with the freedom to move about as needed.
Job activities may include writing, speaking, listening, problem-solving, and frequent interaction with colleagues and stakeholders.
Physical tasks may involve sitting, standing, typing, lifting up to 25 pounds, kneeling, and reaching.
Equipment commonly used includes telephones, computers, printers, fax machines, and other standard office devices.
Reasonable accommodations can be made for individuals with disabilities.
The role requires strong analytical reasoning, the ability to read and evaluate detailed documents, multi-tasking in an environment with frequent interruptions, and effective verbal and written communication.
MINIMUM REQUIREMENTS
These requirements represent the minimum qualifications necessary to perform the essential functions of the role. Equivalent experience may be considered.
Bachelor's degree required.
Minimum of 6 years of experience in Model Risk Management.
Excellent attention to detail with a strong risk-focused mindset.
Self-driven learner with natural curiosity and the ability to work independently.
High energy level, strong work discipline, and consistent follow-through.
Experience building models in R or Python is preferred.
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.