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Model Risk Audit Jobs (NOW HIRING)

EagleBank

Model Risk Management Officer

Bethesda, MD · Hybrid

$152K - $261K/yr

This role partners with Finance, Treasury, Credit Risk, Internal Audit, Compliance, executive management, and regulators to ensure models and quantitative tools are appropriately governed, validated ...

EagleBank

Model Risk Management Officer

Bethesda, MD · On-site

$152K - $261K/yr

This role partners with Finance, Treasury, Credit Risk, Internal Audit, Compliance, executive management, and regulators to ensure models and quantitative tools are appropriately governed, validated ...

EagleBank

Model Risk Management Officer

Bethesda, MD · On-site

$200 - $250/hr

... Risk, Finance, Internal Audit, Executive management, and Regulators, to ensure the accuracy ... Model Validation: Perform rigorous model validation to ensure the accuracy, robustness, and ...

Athene

Director Model Risk Management

West Des Moines, IA · On-site

... Audit * Build and maintain ongoing engagement with the business to identify new models or significant model changes and maintain the accuracy and completeness of model inventory within the Model Risk ...

Socket.dev

Model Risk Senior Specialist

Virginia, IL · On-site

$150 - $200/hr

The Global Model Risk Management team is part of the second line of defense and provides ... Engage with senior management, internal audit, compliance, regulators, and other stakeholders to ...

Athene

Director Model Risk Management

West Des Moines, IA · On-site

$200 - $250/hr

... Audit * Build and maintain ongoing engagement with the business to identify new models or significant model changes and maintain the accuracy and completeness of model inventory within the Model Risk ...

Athene

AVP Operational & Model Risk

West Des Moines, IA · On-site

$125 - $150/hr

Drive model risk governance processes, including oversight of model inventory, validation activities, and lifecycle management, ensuring robust documentation, transparency, and audit readiness

Affirm

Financial Model Risk Management Lead

$164K - $224K/yr

About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects ... About the Team We're looking for an intelligent, driven professional to join our Model Risk ...

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Model Risk Audit information

See salary details

$31K

$89.7K

$126.5K

How much do model risk audit jobs pay per year?

As of Sep 9, 2026, the average yearly pay for model risk audit in the United States is $89,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What is model risk audit?

Model Risk Audit is a specialized process within financial institutions that involves evaluating and reviewing the controls, governance, validation, and use of quantitative models. These audits help ensure that models used for decision-making, risk management, and regulatory reporting are accurate, reliable, and comply with internal policies as well as regulatory standards. The primary goal is to identify and mitigate risks associated with model errors, misuse, or inadequate validation, thereby supporting the overall integrity of the institution’s risk management framework.

What are some typical challenges faced by professionals in a model risk audit role?

Professionals in Model Risk Audit often encounter challenges such as keeping up with rapidly evolving regulatory requirements and complex quantitative methodologies. Balancing technical model validation with clear communication to non-technical stakeholders can also be demanding. Additionally, auditors must frequently collaborate with model developers, risk managers, and compliance teams to ensure a comprehensive understanding of model risks and controls. Navigating these challenges requires strong analytical skills, attention to detail, and effective teamwork.

What are the key skills and qualifications needed to thrive as a model risk auditor, and why are they important?

To thrive as a Model Risk Auditor, you need a solid background in quantitative analysis, risk management, and financial modeling, often supported by degrees in finance, mathematics, or related fields. Familiarity with statistical programming tools (like Python, R, or SAS), model validation frameworks, and regulatory guidelines (such as SR 11-7) is essential. Strong analytical thinking, attention to detail, and effective communication skills help auditors interpret complex models and present findings to stakeholders. These capabilities are crucial for ensuring the integrity of models used in decision-making and for maintaining regulatory compliance in financial institutions.

What is the difference between Model Risk Audit vs Model Validation?

AspectModel Risk AuditModel Validation
Primary FocusAssessing overall model risk management, controls, and complianceEvaluating the technical accuracy and performance of specific models
Work EnvironmentAudit teams within risk management or internal audit departmentsQuantitative teams, often within model development or validation units
CertificationsCPA, CIA, or risk management certifications commonFRM, CFA, or quantitative modeling certifications common

Model Risk Audit and Model Validation are related but distinct roles. Model Risk Audit focuses on assessing the effectiveness of model risk management processes, while Model Validation concentrates on testing the technical soundness of models. Both roles are essential in financial institutions to ensure model integrity and compliance.

What are popular job titles related to Model Risk Audit jobs?

For Model Risk Audit jobs, the most frequently searched job titles are:

Infographic showing various Model Risk Audit job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $89,650 per year, or $43.1 per hour.

Senior Associate, Data Scientist - Model Risk Audit

Mclean, VA • On-site

Capital One Group
See more jobs at Capital One Groupexternal

$125 - $150/hr

Other

Posted 8 days ago

Key responsibilities

  • Review models and model risk practices across the enterprise to identify and raise issues.

  • Partner with cross-functional teams to deliver analytical solutions and support business strategies.

  • Build and validate machine learning models through all development phases, from design to implementation.

Job description

## Senior Associate, Data Scientist - Model Risk AuditApplylocations: McLean, VA: Charlotte, NC: Richmond, VA: New York, NY: Plano, TXtime type: Full timeposted on: Posted Todayjob requisition id: R247514Senior Associate, Data Scientist - Model Risk AuditData is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.As part of Capital One’s Model Audit team, you will have a unique vantage point to review models and model risk practices across the enterprise and the opportunity to connect the dots to raise the appropriate model risk issues and provide assurance to the Audit Committee. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment. You will be the driving force to experiment, innovate, and create next-generation features powered by the latest emerging NLP and Generative AI technologies. If you love a fast-paced, highly rewarding environment, and you love being a builder and communicator, this is the place for you.**In this role, you will:*** Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love* Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data* Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation* Flex your interpersonal skills to translate the complexity of your work into tangible business goals**The Ideal Candidate is:*** Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.* Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.* A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.* Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.**Basic Qualifications:*** Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration**Preferred Qualifications:*** Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)* Experience working with AWS* At least 2 years of experience in Python, Scala, or R* At least 2 years of experience with machine learning* At least 2 years of experience with SQL****Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.****The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Charlotte, NC: $123,300 - $140,700 for Sr Assoc, Data ScienceMcLean, VA: $135,600 - $154,800 for Sr Assoc, Data ScienceNew York, NY: $148,000 - $168,900 for Sr Assoc, Data SciencePlano, TX: $123,300 - $140,700 for Sr Assoc, Data ScienceRichmond, VA: $123,300 - $140,700 for Sr Assoc, Data ScienceCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. #J-18808-Ljbffr

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