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Director Model Risk Governance Jobs in Utah (NOW HIRING)

SoFi

Fraud Model Analyst

Cottonwood Heights, UT

Partnering with Model Risk Management (MRM), Legal, and Compliance teams to ensure adherence to governance and regulatory requirements * Coordinating with external vendors to obtain model ...

SoFi

Fraud Model Analyst

Cottonwood Heights, UT · On-site

We're proud to come to work every day knowing that what we do has a direct impact on people's lives ... Working knowledge of Model Risk Management (MRM) frameworks and model governance processes * Strong ...

Wsgr

Senior AI Risk Advisor

Salt Lake City, UT · On-site +1

Excellent communication skills - able to explain model risk, brief a committee on AI governance ... Self-directed and resourceful - able to build a program from the ground up, prioritize ...

American Express

Senior Manager-Compliance

Sandy, UT · On-site

$103K - $174K/yr

Partner with technology, product, legal, risk, governance, and data stakeholders to support ... Flexible working model with hybrid, onsite or virtual arrangements depending on role and business ...

PeopleNTech

Senior Scrum Master

Draper, UT

$48 - $65.50/hr

Promote a culture of accountability, transparency, and continuous learning Risk, Governance ... Proven experience working with distributed/onshore-offshore delivery models * Experience in large ...

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Director Model Risk Governance information

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.
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Director Model Risk Governance jobs near you
Director of Model Validation

Director of Model Validation

First Electronic Bank

Salt Lake City, UT • On-site

$16.75 - $23/hr

Full-time

Posted 19 days ago

Job description

Description:

At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB’s engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions.


We’re looking for a Director of Model Validation to lead the Model Risk Management (MRM) function and ensure the integrity and performance of the models that power our lending products with our Strategic Partners. In this role, you’ll lead the department and set the directive for the Bank to oversee the validation of models and strategies used to underwrite products like small business loans, credit cards, and personal unsecured installment loans and lines of credit.


Reporting to the Head of Credit Risk and Portfolio Analytics, you’ll set the strategic direction for model governance and validation across our FinTech partnerships—covering products like small business loans, credit cards, and personal installment loans.

This is a high-impact leadership role where you’ll shape policy, manage a talented team, and collaborate with internal and external stakeholders to ensure regulatory compliance and model excellence.


What You’ll Do:

  • Own and manage the Bank Strategic Partner Model Risk Management function, including Model Governance policies and procedures.
  • Continuously enhance processes and controls to ensure compliance with regulatory requirements.
  • Mentor, develop and lead a team of Model Validation Analysts and Managers responsible for validation credit risk, fraud detection, and behavioral credit models across our Fintech partnerships.
  • Oversee and maintain the internal model inventory for the Strategic Partner products.
  • Lead and improve loan portfolio performance monitoring processes using data feeds and visualization tools such as PowerBI.
  • Collaborate with external data science and modeling teams, providing guidance on model development and ensuring thorough documentation and adherence to Model Risk Management standards.
  • Partner with Compliance to define and strengthen standards that ensure fair lending practices and regulatory compliance.
  • Support due diligence efforts by assigning model validation subject matter experts to the process.
  • Serve as primary point of contact during regulatory exams (FDIC, UDFI) for model risk management activities.
  • Work with external vendors and legal counsel to validate modeling techniques and align with industry best practices.
  • Participate in Bank Committees and Advisory Groups to provide strategic input on model risk initiatives.
Requirements:

What We’re Looking For:

  • Advanced degree in a quantitative field or equivalent practical experience in data science, statistical modeling, or quantitative analysis.
  • 5+ years of experience in regulated banking or financial services industry.
  • 3+ years of direct people management experience in a quantitative discipline.
  • Strong knowledge of regulatory requirements for model risk management (SR 11-7).
  • Experience participating in, or leading, supervised regulatory exams.
  • Proven experience developing and validating statistical and machine learning models for credit risk.
  • Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences.
  • Experience presenting to executive leadership and supporting strategic committees.
  • Adaptable, collaborative mindset—ready to thrive in a fast-paced growing organization.
  • Proficiency in programming languages such as Python, R, SAS, or SQL a plus.