ZipRecruiter

Log In

1

Model Risk Manager Jobs in Alabama (NOW HIRING)

Regions Bank

Credit Risk Review Examiner

Birmingham, AL · On-site

They identify issues that require management attention and will communicate and summarize review ... models, understanding portfolio valuation techniques, etc. * Proposes appropriate ratings and risk ...

CSAA

Collaborate with cross-functional partners (Technology, Data, Underwriting, Delivery, State Management, Distribution, Implementation, Legal, Compliance, Privacy, and Model Risk Management) to ensure ...

Pwc

Senior Manager, Internal Investigations

Birmingham, AL · On-site

$91K - $321K/yr

Industry/Sector Not Applicable Specialism IFS - Risk & Quality (R&Q) Management Level Senior ... Modeling and reinforcing professional and technical standards, including the Firm's code of conduct ...

PNC Bank

GenAI Data Scientist

Birmingham, AL · On-site

Experience in AI/ML or GenAI governance, model risk management, or technology risk management. Strong background in risk assessment, control evaluation, and issue remediation. Familiarity with ...

next page

Showing results 1-20

All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Alabama

Model Risk Manager information

See Alabama salary details

$46.7K

$101.1K

$154.1K

How much do model risk manager jobs pay per year?

As of Jul 9, 2026, the average yearly pay for model risk manager in Alabama is $101,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $116,900.00 per year, depending on experience, location, and employer.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

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

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

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

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are popular job titles related to Model Risk Manager jobs in Alabama? For Model Risk Manager jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Alabama look for? The top searched job categories for Model Risk Manager jobs in Alabama are:
What cities in Alabama are hiring for Model Risk Manager jobs? Cities in Alabama with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Risk & Operations Analyst ONI

Risk & Operations Analyst ONI

O'Neal Industries

Birmingham, AL • On-site

Full-time

Posted 13 days ago

Job description

Responsibilities Include But Are Not Limited To:
  • Work with ONI operating company team members and external vendors to perform deep-dive analyses on operational spend and propose cost-savings strategies.
  • Monitor vendor performance metrics and contract compliance to ensure we are receiving maximum value and service quality.
  • Evaluate and report on insurance claims, claims history and claims costs to identify trends and to support insurance and claims negotiations.
  • Work directly with Director of Safety to analyze and report on safety and near miss data and develop proactive reports and recommendations to help minimize workplace hazards.
  • Support administration, data integrity, and continuous improvement across various management system platforms related to safety, risk management, and other departments as needed.
  • Support data migration, validation, and system implementation efforts related to management system platforms. Build out automated processes using AI tools to support risk, safety, and other departments as needed at ONI.
  • Utilize Excel, AI and process automation to implement and improve financial and operational reporting. Be a key driver in understanding current AI tools and assist in developing new applications of these tools.
  • Be self-motivated, want to find win-win solutions, and want to help business units identify operational improvements and cost-savings opportunities.
  • Perform third party and vendor risk assessments and compliance monitoring activities.
  • Coordinate and collaborate with internal audit and finance team resources on key projects where needed.
  • Work through root cause analyses of operational and corporate issues. Assist with building out new tools and processes for global risk management issues and monitoring.
  • Perform research on key trends and industry publications to assist with company risk analysis and modeling. Assist with ESG and other regulatory requirements and corporate responses / monitoring.
  • Assist and support governance, regulatory, and risk assessment projects, processes, documentation, and solution tracking activities. Help formalize processes for compliance activities as risk assessments are completed. This will include both domestic and international territories.
  • Act as a shared resource between Risk, Safety, Finance, and Special Projects.
  • Assist with various ONI Executive team presentations and ad-hoc reporting requests.
  • Continually build relationships with key contacts at ONI operating companies and help drive brainstorming / best practices across the company.

Required Skills and Background:
  • Bachelor's degree in Risk Management, Operations, Finance, Economics or Statistics. Master's degree or professional credential desired but not required.
  • 3+ years of relevant experience dealing with financial analysis, reporting, risk modeling, cost analysis, claims management, investment analysis, etc.
  • A very high level of proficiency with Microsoft Office products, specifically Excel.
  • Working knowledge of Analytics and AI tools such as Power BI, Python, Copilot, Anthropic, ChatGPT, Gemini, etc.
  • Strong project management, technical, and data analytics/analysis skills. Responsible for providing error-free work to all internal and external parties.
  • Communication skills related to data analysis, modeling and the ability to clearly articulate technical projects and recommendations / conclusions.
  • Ability to work semi-autonomously and self-direct daily work.
  • Advanced understanding of general business concepts, including business operations, industry and economic analysis, return and profitability analysis, investment and statistical modeling.
  • Interested in analyzing real-world business challenges and providing recommendations and solutions.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply