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Model Risk Management Jobs in Alabama (NOW HIRING)

IronMountain Solutions

Risk Manager

Huntsville, AL · Hybrid

Experience in risk management within PEO Aviation, or other highly regulated industries * Hands-on experience with ARM/Power BI , including dashboard creation, data modeling, and visualization for ...

First Horizon

Credit Model Developer

Birmingham, AL · On-site

Interact with key stakeholder groups such as Accounting, Treasury, Credit, Lines of Business, Model Risk Management, and Enterprise Technology in the design, development, and ongoing usage of models.

Synovus

Data Systems Manager

Montgomery, AL · On-site +1

Responsible for documenting the system current configurations and validation efforts regularly partnering with Model Risk Management to ensure developed models are rated appropriately. Manages ...

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 ...

CSAA

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

PNC Bank

Fraud Data Scientist (Lending)

Birmingham, AL · On-site

... Models, Risk Appetite, Statistics Competencies Analytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments ...

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Model Risk Management information

See Alabama salary details

$33.1K

$74.6K

$125.1K

How much do model risk management jobs pay per year?

As of Jun 19, 2026, the average yearly pay for model risk management in Alabama is $74,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $82,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Model Risk Management position, and why are they important?

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What are some common challenges faced by professionals in Model Risk Management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What is a Model Risk Management job?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What is the salary of model risk validation?

Model risk validation professionals typically earn between $80,000 and $150,000 annually, depending on experience, location, and the size of the organization. Senior roles or those with specialized skills in statistical modeling and regulatory knowledge can earn higher salaries, often exceeding $180,000. Certifications such as FRM or CFA can also influence compensation in this field.

Is model risk management a good career?

Model risk management is a specialized field focused on identifying and mitigating risks associated with financial and statistical models. It offers opportunities for growth, requires strong analytical skills, and often involves certifications like FRM or CFA. The role is in demand within financial institutions, regulatory agencies, and consulting firms, making it a stable career choice for those interested in risk analysis and quantitative methods.

What do model risk managers do?

Model risk managers are responsible for identifying, assessing, and mitigating risks associated with financial and operational models used within an organization. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using specialized tools and techniques. Their work helps prevent model errors from leading to financial loss or regulatory issues.

What is the highest paying risk management job?

In risk management, senior roles such as Chief Risk Officer (CRO) or Director of Risk typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills, especially in financial institutions or large corporations.
What are the most commonly searched types of Model Risk Management jobs in Alabama? The most popular types of Model Risk Management jobs in Alabama are:
What are popular job titles related to Model Risk Management jobs in Alabama? For Model Risk Management jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Model Risk Management jobs in Alabama look for? The top searched job categories for Model Risk Management jobs in Alabama are:
What cities in Alabama are hiring for Model Risk Management jobs? Cities in Alabama with the most Model Risk Management job openings:
Model Risk Management jobs near you
Infographic showing various Model Risk Management job openings in Alabama as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,623 per year, or $35.9 per hour.
Risk Quantitative Model Validation Analyst

Risk Quantitative Model Validation Analyst

Regions Financial Corporation

Birmingham, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Regions Bank rating

8.0

Company rating: 8.0 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

54th of 141 rated banks

Job description

Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions' Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system.
Job Description:
At Regions, the Risk Quantitative Model Validation Analyst serves as a member of a key strategic team that is responsible for performing independent model risk oversight activities, including model identification, determination, classification, inventory management, validation, review, issue remediation testing, reporting, and related activities. The associate will test data products, including models and analytical tools, in the areas of fraud monitoring, cybersecurity, credit scoring, marketing, BSA/AML/OFAC compliance, market risk, capital markets, operational risk, finance and accounting, loan pricing, deposit pricing, loan valuation, and economic capital.
In Model Risk Management and Validation (MRMV), the Risk Quantitative Model Validation Analyst works with multiple teams of validation analysts, governance analysts, as well as automation specialists to validate highly complex quantitative models, including Artificial Intelligence (AI) and Machine Learning (ML) approaches. The ideal candidate has knowledge in data management, visualization, automation, quantitative modeling methods and programming skills.
Primary Responsibilities
  • Performs quantitative validation test work under guidance from validation manager and/or senior validation analyst and summarizes test results, conclusions, and issues in model validation report
  • Works with large, structured, and unstructured datasets
  • Uses quantitative and analytical techniques to validate models focused on accelerating profitable growth and customer engagement, unlocking value across all functional areas of business
  • Communicates model issues and limitations to key stakeholders and represents Regions with regulators as needed
  • Validates Machine Learning and Artificial Intelligence models
  • Demonstrates ability to continuously learn and provide value in a dynamic environment
  • Fosters interest in MRMV among internal Regions associates when MRMV has postings

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.
Requirements
  • Bachelor's degree and five (5) years of experience in a quantitative/analytical/STEM field
  • OR Master's degree and three (3) years of experience in a quantitative/analytical/STEM field
  • OR Ph.D.

Preferences
  • Background in banking and/or other financial services
  • Experience in Agile Software Development
  • Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), or other relevant certifications
  • One (1) year of working experience in Machine Learning, Deep Learning, or Artificial Intelligence
  • One (1) year of working programming experience in Python, R, Matlab, SAS or Java
  • One (1) year of hands-on experience with Big Data technologies

Skills and Competencies
  • A control-focused mind-set with strong process improvement capabilities
  • A proven track record of working in teams and of leading projects
  • Ability to manage multiple tasks and work effectively under pressure in a rapidly changing environment
  • Advanced Structure Query Language (SQL) skills
  • Attention to detail, initiative, and ability to work under tight deadlines
  • Comfortable with both relational databases and Hadoop-based data mining frameworks
  • Current knowledge of financial regulations
  • Excellent written and oral communication skills, especially clearly explaining quantitative concepts to non-quantitative audiences
  • Expertise in analyzing large, complex, multi-dimensional datasets using a variety of tools like Python or R.
  • Motivated, organized, and team-oriented
  • Proficient in visualization tools like Power Business Intelligencer (BI)
  • Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders
  • Understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms

Position Type
Full time
Compensation Details
Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.
The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.
Job Range Target:
Minimum:
$80,625.05 USD
Median:
$108,710.00 USD
Incentive Pay Plans:
This job is not incentive eligible.
Benefits Information
Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.
  • Paid Vacation/Sick Time
  • 401K with Company Match
  • Medical, Dental and Vision Benefits
  • Disability Benefits
  • Health Savings Account
  • Flexible Spending Account
  • Life Insurance
  • Parental Leave
  • Employee Assistance Program
  • Associate Volunteer Program

Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions' benefits, please click or copy the link below to your browser.
https://www.regions.com/about-regions/welcome-portal/benefits
Location Details
Regions Center
Location:
Birmingham, Alabama
Equal Opportunity Employer/including Disabled/Veterans
Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.

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