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Manager Model Risk Management Jobs in Garner, NC

... model governance, development, validation, and monitoring for the organization ... Responsible for creating and ongoing reporting of key risk indicators and management reporting for ...

Position Overview: Assist in the development, implementation, and maintenance of the Model Risk Management (MRM) program within SECU through the development and validation of statistical models ...

The SQAM further assists in line of business relationship management, risk monitoring, and professional development of the full Model Risk audit team. ESSENTIAL DUTIES AND RESPONSIBILITIES Following ...

Quant Audit Manager

Raleigh, NC · On-site

$101K - $132K/yr

Recommending improvements to model risk management systems and processes. b. Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models ...

The Risk Management team operates as a strategic partner to business segments across S&P Global, ensuring comprehensive protection of company assets and operations. We value technical expertise ...

The Risk Management team operates as a strategic partner to business segments across S&P Global, ensuring comprehensive protection of company assets and operations. We value technical expertise ...

... UHS Risk Management reporting requirements. · Maintains current knowledge of federal updates for CORE Measure abstraction. · Maintains working knowledge of hospital medical record and other ...

... Risk Management reporting requirements. • Maintains current knowledge of federal updates for CORE Measure abstraction. • Maintains working knowledge of hospital medical record and other ...

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Manager Model Risk Management information

See Garner, NC salary details

$38.8K

$92.4K

$149.3K

How much do manager model risk management jobs pay per year?

As of Jun 21, 2026, the average yearly pay for manager model risk management in Garner, NC is $92,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $117,700.00 per year, depending on experience, location, and employer.

What is the highest paying risk management job?

The highest paying risk management roles are often senior positions such as Chief Risk Officer (CRO) or Director of Risk Management, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills in financial institutions or large corporations.

What does a model risk manager do?

A model risk manager oversees the identification, assessment, and mitigation of risks associated with financial and operational models used within an organization. They ensure models are accurate, compliant with regulations, and perform as intended, often working with validation teams and utilizing tools like statistical software. Their role helps prevent financial loss and supports sound decision-making.

What is the difference between Manager Model Risk Management vs Model Risk Analyst?

AspectManager Model Risk ManagementModel Risk Analyst
CredentialsTypically requires advanced degrees (e.g., MBA, Master's in Finance or Risk), certifications like FRM or CFAOften requires similar credentials, such as FRM or CFA, but may have less emphasis on managerial certifications
Work EnvironmentLeads teams, manages risk frameworks, and interacts with senior managementPerforms detailed risk analysis, supports model validation, and reports findings
Employer & Industry UsageCommon in banking, asset management, and financial institutionsFound in similar environments, often as a supporting role to managers

The Manager Model Risk Management oversees the entire model risk framework, manages teams, and interacts with senior stakeholders. In contrast, the Model Risk Analyst focuses on detailed analysis, validation, and reporting of models. Both roles require similar credentials but differ in scope and responsibilities.

Is model risk management a good career?

Model risk management is a specialized field within financial and banking sectors that involves identifying, assessing, and mitigating risks associated with financial models. It offers opportunities for growth, requires strong analytical skills, and often involves certifications like FRM or CFA. The role is considered stable and in demand due to increasing regulatory requirements and reliance on complex models.

What is the salary of model risk management in Deloitte?

The salary for a Manager in Model Risk Management at Deloitte typically ranges from $110,000 to $150,000 annually, depending on experience, location, and performance. Additional benefits may include bonuses, health insurance, and professional development opportunities.
What job categories do people searching Manager Model Risk Management jobs in Garner, NC look for? The top searched job categories for Manager Model Risk Management jobs in Garner, NC are:
What cities near Garner, NC are hiring for Manager Model Risk Management jobs? Cities near Garner, NC with the most Manager Model Risk Management job openings:

Model Risk Governance Manager

State Employees' Credit Union

Raleigh, NC • On-site

Full-time

Posted 9 days ago


State Employees' Credit Union (North Carolina) rating

8.2

Company rating: 8.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!
Essential Responsibilities:
  • (30%) Development and execution of policies, standards, and internal procedures for all phases of the model and AI life cycle, including identification, risk assessment, definition of control objectives, ongoing monitoring, and retirement.
  • (20%) Ownership of the model risk management framework and reporting on model governance, development, validation, and monitoring for the organization. Responsible for creating and ongoing reporting of key risk indicators and management reporting for senior risk management stakeholders, management committees, and board-level committees.
  • (20%) Design and maintain AI governance frameworks, standards, and research to guide responsible AI adoption. Embed responsible, transparent, and controlled AI practices across the full AI life cycle, from design and development to deployment and monitoring. Ensure that AI capabilities are delivered safely, ethically, and in alignment with regulatory expectations, while enabling speed, scalability, and business value. Partner with technology, privacy, operational, and compliance risk leaders to ensure AI risk practices are well-integrated.
  • (10%) Manage and develop model risk and AI risk governance staff.
  • (10%) Ensure overall compliance of the program with regulatory guidance on model risk management and artificial intelligence, staying current with changes in regulatory expectations and leading industry practices.
  • (10%) Provide training and communication around the expectations of the MRM program and AI risk management to stakeholders across the organization.

Required Education & Experience (Knowledge, Skills, & Abilities):
  • Masters in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field).
  • 5+ years of experience in modeling or analytics, including experience developing enterprise-wide policies, standards and protocols in model risk, AI, or a related discipline.
  • Ability to understand model conceptual design, testing of performance, controls over data flows, and compliance of model results with intended application.
  • Must possess a deep understanding of regulatory guidance and expectations in Model Risk Management (e.g., SR 26-2, SR 15-19) and Artificial Intelligence (e.g. NIST AI Risk Management Framework, ISO 42001).
  • Programming skills in a statistical programming language, such as SAS, R, or Python. Ability to independently write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency.
  • Subject matter expertise in advanced mathematical and statistical modeling techniques, such as competing risk logistic regression, time series analysis, ordinary least squares, Monte Carlo simulation, and machine learning techniques (e.g. XGBoost).
  • Excellent oral and written communication skills. Experience writing and reviewing detailed technical validation reports and/or model development documentation.
  • Familiarity with modern artificial intelligence (AI), including large language models (LLMs), retrieval augmented generation, generative AI, agentic AI, and the approaches and architecture required to harness and manage the risks of these tools.
  • Strong attention to detail and the ability to independently formulate solutions to complex modeling and analytical challenges without existing procedures or precedent. Ability to mentor staff through complex analytical challenges and difficult technical conversations with internal and external stakeholders.
  • Ability to evaluate model risks, weigh pros and cons of risk mitigation, and communicate very technical concepts in plain language.
  • Perform job functions independently with limited day-to-day oversight from supervisor.

Preferred Education & Experience (Knowledge, Skills, & Abilities):
  • Experience managing teams of technical individual contributors and/or external vendors performing technical modeling work
  • Experience in financial services or consulting industry
  • Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR, ALM, loan pricing and/or mortgage servicing rights, derivatives, Compliance (BSA/AML/OFAC), Liquidity, or Fraud
  • Subject matter expertise in generative large language models (Artificial Intelligence)
  • FRM or CFA certification

Job Environment & Physical Requirements:
  • Hybrid expectations
  • Sitting for prolonged periods
  • Computer for prolonged periods

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.
Disclaimer
State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.

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