Model Risk Management Lead

Jobtailor; Arizona; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor in Arizona seeks a senior professional to oversee the Bank's Model Risk Management Program in alignment with SR 26-2 guidance, validate models, maintain inventory, and report on model performance. You will collaborate with model owners, developers, and stakeholders, ensure documentation, monitor use, and support audits.

Requires 5+ years in model development or validation and strong programming in SAS, Python, R, or SQL.

Qualifications

• Bachelor’s degree in a highly quantitative discipline (e.g. Statistics, Mathematics, Engineering, or Data Science).
• Minimum 5 years of experience in Model Development or Model Validation.
• Proficiency in statistical programming languages (SAS, Python, R, or SQL).
• Extensive knowledge of regression techniques, machine learning, time series techniques, and other statistical models.
• Ability to explain complex mathematical concepts to non-technical stakeholders and senior management.
• Ability to work autonomously with strong ownership mindset.
• Excellent organizational skills and ability to work well under pressure independently and collaboratively.
• Must be legally authorized to work in the United States; visa sponsorship is not available.

Responsibilities

• Provide oversight of the Bank’s Model Risk Management Program in alignment with risk appetite and SR 26-2 guidance.
• Oversee independent validation of all models, including non-models and EUC.
• Ensure models are conceptually sound, statistically robust, and validation activities are documented.
• Maintain complete model inventory and development/validation documentation.
• Review ongoing model performance monitoring and escalated deteriorating performance.
• Monitor model use against approved use and use plans.
• Track and report model issues and remediation.
• Assist in reporting consolidated model risk across the Bank.
• Collaborate with model owners, developers, stakeholders, and department heads.
• Communicate model risk management policies, procedures, and expectations.
• Monitor industry trends, regulatory changes, and emerging model risk.
• Assist with regulatory examinations and audits; respond to findings.

Skills

Model Risk Mgmt

Model Validation

Statistical Programming

Regression Techniques

Machine Learning

Time Series

Performance Monitoring

Inventory Management

Documentation

Data Science

Quantitative Analysis

Education

Bachelor’s degree in quantitative discipline

Tools

SAS

Python

R

SQL

Job description

• Provide oversight of the Bank’s Model Risk Management Program in alignment with the Bank’s risk appetite and supervisory guidance SR 26-2
• Oversee independent validation of all models, including non-models and end user computing (EUC)
• Ensure models are conceptually sound, statistically robust, fit for purpose, and validation activities are adequately documented
• Maintain a complete and accurate model inventory and development and validation documentation
• Review ongoing model performance monitoring and escalated deteriorating performance
• Monitor model use against approved use and use plans
• Track and report model issues and review issue remediation
• Assist in reporting consolidated model risk across the Bank
• Collaborate with model owners, developers, business stakeholders, and department heads
• Communicate model risk management policies, procedures, and expectations
• Monitor industry trends, regulatory changes, and emerging model risk
• Assist with regulatory examinations and internal and external audits; respond to findings and corrective actions

Requirements

• Bachelor’s degree in a highly quantitative discipline (e.g. Statistics, Mathematics, Engineering, or Data Science)
• Minimum 5 years of experience in Model Development or Model Validation
• Proficiency in statistical programming languages (e.g., SAS, Python, R, or SQL)
• Extensive knowledge of regression techniques, machine learning, time series techniques, and other statistical models
• Ability to explain complex mathematical concepts to non-technical stakeholders and senior management
• Ability to work autonomously with strong ownership mindset
• Excellent organizational skills and ability to work well under pressure independently and collaboratively
• Must be legally authorized to work in the United States
• Visa sponsorship is not available

Core Competencies

Demonstrates expertise in Model Risk Management, including oversight of model validation and development, statistical programming, and regulatory compliance. Capable of effectively communicating complex concepts to diverse stakeholders while maintaining a robust model inventory and performance monitoring.

Highest-signal resume keywords

• Model Risk Management
• Model Validation
• Statistical Programming (SAS, Python, R, SQL)
• Regression Techniques
• Machine Learning

Hard Skills

• Model Development
• Statistical Programming
• Regression Techniques
• Machine Learning
• Time Series Techniques
• Model Performance Monitoring
• Model Inventory Management
• Documentation
• Data Science
• Quantitative Analysis

Soft Skills

• Communication
• Organizational Skills
• Autonomy
• Collaboration
• Pressure Management

Industry Keywords

• Regulatory Compliance
• Model Risk
• EUC
• Supervisory Guidance SR 26-2
• Internal Audits
• External Audits
• Model Issues
• Issue Remediation
• Risk Appetite
• Industry Trends