1

Model Risk Manager Jobs (NOW HIRING)

Model Risk Analyst

Chicago, IL · On-site

$75K - $125K/yr

The Model Risk Analyst (Analyst) within the Model Risk Management Group (MRM) is responsible for various tasks supporting model validation and risk governance. The tasks are both technical (e.g ...

New

Actuary, Model Risk

Richmond, VA · On-site +1

$115K - $220K/yr

YOUR ROLE As an Actuary and member of the Model Risk Team, you will assess and manage model risk for Genworth's US Life Insurance, CareScout Insurance, CareScout Services businesses, and Genworth ...

Actuary, Model Risk

Richmond, VA · On-site

$115K - $135K/yr

YOUR ROLE As an Actuary and member of the Model Risk Team, you will assess and manage model risk for Genworth's US Life Insurance, CareScout Insurance, CareScout Services businesses, and Genworth ...

YOUR ROLE As an Actuary and member of the Model Risk Team, you will assess and manage model risk for Genworth's US Life Insurance, CareScout Insurance, CareScout Services businesses, and Genworth ...

next page

Showing results 1-20

Model Risk Manager information

See salary details

$51.5K

$111.6K

$170K

How much do model risk manager jobs pay per year?

As of Jun 5, 2026, the average yearly pay for model risk manager in the United States is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $129,000.00 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.
More about Model Risk Manager jobs
What cities are hiring for Model Risk Manager jobs? Cities with the most Model Risk Manager job openings:
What are the most commonly searched types of Model Risk jobs? The most popular types of Model Risk jobs are:
What states have the most Model Risk Manager jobs? States with the most job openings for Model Risk Manager jobs include:
Infographic showing various Model Risk Manager job openings in the United States as of May 2026, with employment types broken down into 63% Full Time, 35% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $111,556 per year, or $53.6 per hour.
Model Risk Analyst

$75K - $125K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Our client is seeking a Model Risk Analyst to join their team. The Model Risk Analyst (Analyst) within the Model Risk Management Group (MRM) is responsible for various tasks supporting model validation and risk governance. The tasks are both technical (e.g., related to data analytics and quantitative modeling) and administrative (e.g., documentation requirements). By completing these tasks, the analyst will enhance both his/her technical skills and understanding of how financial models are used within the bank.

How You ll Make An Impact:

  • Drive Innovation: Lead the charge in enhancing credit and financial models by challenging current methods and proposing innovative enhancements to improve model effectiveness.
  • Collaborate and Influence: Work closely with model owners and stakeholders, presenting testing results and providing constructive recommendations to strengthen our risk management practices.
  • Automate and Optimize: Recommend new ways to automate and improve the modeling process, ensuring efficiency and accuracy in our financial risk assessments.

What You Can Expect:

  • Explain and present testing results to MRM, model owners and other stakeholders;
  • Work effectively with other risk analysts within MRM and perform ad-hoc analysis to support model-related initiatives;
  • Review model data sources, assumptions, and underlying theory for conceptual soundness;
  • Perform sensitivity analysis and attribution analysis to determine the key financial risk factor(s)/input(s) impacting the Model;
  • Challenge current methods by considering additional modeling enhancements or different metrics to assess model effectiveness;
  • Perform independent benchmarking, back testing and other analysis for applicable models;
  • Recommend new ways to automate/improve the modeling process;
  • Effectively challenge the model owners by identifying potential model weakness and provide constructive recommendations.

What You ll Bring:

  • Graduate Degree (MS/MA/MBA) in a quantitative discipline (e.g., Mathematics, Statistics, Financial Mathematics, Econometrics);
  • 0-3 years of modeling or model validation working experience;
  • Passionate about risk management and interested in model validation;
  • Detail-oriented, a critical thinker and possess excellent communication skills;
  • Proficient in Microsoft Office suite (Excel, Word, Access, PowerPoints)
  • Knowledge in Statistics (logistic regression) and basic data analysis plus knowledge of SQL/R/Python
  • Basic understanding in fixed income securities or mortgage products (CFA/FRM certifications a plus).
  • Knowledge of stochastic processes or interest-rate model techniques preferred;
  • Experience using machine learning techniques utilizing regression and classification algorithms preferred;
  • Familiar with Tableau and level of detail (LOD) preferred

Salary: $75,000 - $125,000 (based on experience) + benefits.

About The Company

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 28 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

Helping every client make the best hiring decisions possible

Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi Rebecca)

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

  • Conduct recorded video interviews
  • Transcribe interviews
  • Summarize candidate responses
  • Generate job-related insights
  • Streamline communication and scheduling

Please note that:

The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.

The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent):

When applying for certain tech jobs, you may participate in:

  • A technical interview
  • A coding challenge
  • A case study
  • A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection:

Every candidate's profile including interviews, conversations, and assessments is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate:

At PTP, every candidate has the right to:

Request a non-AI interview path

Ask how your data is being used

Request access to transcripts or interview recordings

Request deletion of your AI-recorded interview

Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment:

For more than 28 years, PTP has focused on putting people first candidates, consultants, employees, and clients.

We're committed to a hiring process that is:

  • Transparent
  • Compliant
  • Equitable
  • Powered by innovative technology that enhances not replaces human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We're excited to learn more about you.

Equal Employment Opportunity:

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.