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Risk Model Validation Jobs (NOW HIRING)

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

Model Risk Management, MRM is responsible for overseeing enterprise-wide model risk management and ... Effective validation helps to ensure that models are sound, identifying potential limitations and ...

Model Risk Analyst-Validation

Buffalo, NY ยท On-site

$91K - $101K/yr

Model Risk Analyst - Validation Job Location: One M&T Plaza, Buffalo, NY 14203. Ensure the accuracy, reliability, and compliance of models in accordance with Company or regulatory standards and ...

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Risk Model Validation information

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How much do risk model validation jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for risk model validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

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

To thrive in Risk Model Validation, you need a strong background in quantitative finance, statistics, and risk management, often supported by degrees in mathematics, finance, or related fields. Familiarity with programming languages (such as Python, R, or SAS), statistical modeling tools, and regulatory frameworks like Basel III is essential. Attention to detail, analytical thinking, and effective communication are important soft skills for articulating findings and collaborating with stakeholders. These skills ensure the accuracy and integrity of risk models, which are critical for informed decision-making and regulatory compliance in financial institutions.

What is risk model validation?

Risk model validation is the process of assessing and ensuring that a financial or statistical risk model is accurate, reliable, and appropriate for its intended use. This typically involves reviewing the model's design, data inputs, assumptions, and performance against real-world outcomes. The goal is to identify any weaknesses, limitations, or errors in the model so that organizations can manage risks more effectively and comply with regulatory requirements. Risk model validators often use back-testing, stress testing, and benchmarking against industry standards as part of the validation process.

Is risk modelling a good career?

Risk model validation is a specialized field within risk management that involves assessing the accuracy of risk models used by financial institutions. It requires strong analytical skills, knowledge of statistical tools, and often certifications like FRM or CFA. The role offers opportunities for career growth, high demand in finance and insurance sectors, and the potential for a stable, well-paying career.

Is model validation a good career?

Model validation is a valuable career in risk management and quantitative analysis, focusing on assessing the accuracy and robustness of financial or risk models. It requires strong analytical skills, knowledge of statistical tools, and often involves working with programming languages like Python or R. The role offers opportunities for advancement and is in demand within financial institutions, insurance companies, and regulatory agencies.

What are some typical challenges faced in a Risk Model Validation role, and how can candidates prepare for them?

Professionals in Risk Model Validation often encounter challenges such as staying current with evolving regulatory standards, managing large and complex datasets, and clearly communicating technical findings to non-technical stakeholders. To prepare, candidates should strengthen their understanding of regulatory frameworks (like SR 11-7 or Basel guidelines), develop strong quantitative and programming skills, and practice translating complex model results into actionable business insights. Being proactive in continuous learning and open collaboration with risk, audit, and business teams is also key for success in this dynamic field.

What is the difference between Risk Model Validation vs Credit Risk Analyst?

AspectRisk Model ValidationCredit Risk Analyst
Primary FocusAssessing the accuracy and robustness of risk modelsAnalyzing credit data to evaluate borrower risk
CertificationsFRM, CFA, or similarCFA, Credit Certifications
Work EnvironmentQuantitative, model development teamsCredit departments, lending teams
Industry UsageFinancial institutions, risk management firmsBanks, lending institutions

Risk Model Validation primarily focuses on testing and validating risk models to ensure their accuracy, while Credit Risk Analysts evaluate individual credit data to assess borrower risk. Both roles require quantitative skills and relevant certifications but differ in their specific responsibilities and work environments.

What is the salary of model risk validation?

The salary for a risk model validation analyst typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the size of the organization. Senior roles or those with specialized skills in statistical modeling and programming may earn higher salaries, often supplemented with bonuses and benefits.

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 PRM, and strong leadership skills in financial institutions or large corporations.
More about Risk Model Validation jobs
Infographic showing various Risk Model Validation job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.
Model Validation Director

Model Validation Director

Ankura

Chicago, IL โ€ข On-site, Remote

Full-time

Posted 11 days ago


Job description

Ankura is a team of excellence founded on innovation and growth.

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk assessment/rating, fraud detection and watchlist screening/interdiction systems.

Responsibilities:

Responsibilities will include designing and/or updating testing strategies (e.g., data quality testing, data reconciliation, above-the-line and below-the-line testing, statistical analysis) which will aid in the independent validation of financial crimes detection and sanctions screening models. Testing could include conceptual design review, control operating effectiveness testing, and/or issue validation testing. Candidates will be required to execute analytical projects working closely with senior stakeholders and clients to deliver value to financial institution clients.

Ideally this role will be hybrid based out of one of our locations; however, remote locations will be considered on a case to case basis.

Requirements:

  • Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.

  • Experience with data extraction and analysis tools such as SQL/Python.

  • 5+ years of experience within the Financial Crime industry.

  • 5+ years of model validation, AML system implementation, data lineage, or quality testing experience.

  • Basic knowledge of the software development lifecycle.

  • Demonstrated experience with data analysis, business analysis, and data validation, activities with financial services institutions.

  • Demonstrated experience with performing independent testing on models, including an understanding of risks/controls and experience documenting testing within workpapers.

  • Experience executing model validations of financial crime systems, including but not limited to: Verafin, Actimize, BAM/BAM+, YellowHammer, FCRM, FinanSeer, FiServ, Lexis Nexis Bridger, FircoSoft, Quantexa, Palantir, Accuity, RDC, and others.

  • Demonstrated experience and knowledge of banking and compliance systems.

  • Demonstrated experience working in a results-driven environment within a team environment.

  • Strong organizational, interpersonal, and presentation skills.

  • Ability to actively engage with stakeholders to collect information, and issues, and make recommendations for business and process improvements.

  • Highly effective verbal and written communication skills and the ability to interact with all levels of management.

  • Strong teamwork, communication, and customer service skills.

  • Strong analytical, attention to detail, organizational, and core project management skills.

  • Possesses knowledge of the challenges of data cleansing and integration in Python and/or SQL.

  • Ability to work with IT and business personnel.

Main Duties:

  • Conduct model validation, implementation, tuning and optimization of AML and Sanctions models, on and off site, issue written reports and workpapers, and communicate results with customers;

  • Conduct data validation exercises such as data quality testing and data reconciliation; Develop test scripts corresponding to scope of the testing engagement and business expectations;

  • Conduct statistical analysis, outlier detection, sensitivity analysis, above-the-line and below-the-line testing on financial transaction data, transaction monitoring alert data, and sanctions screening alert data;

  • Track and validate the implementation of remedial actions submitted by the remedial actions owners to verify that issues were remediated; follow up as necessary;

  • Monitor regulatory activities and industry developments to identify trends and emerging issues that may impact the clients and may require changes to the compliance testing program;

  • Build, enhance or localize model risk management programs including coverage assessments, change management, access management procedures, internal controls, and transaction monitoring and watchlist systems;

  • Assist clients with daytoday compliance requirements;

  • Serve as subject matter expert to customers;

  • Assist with cultivating new business with existing and new clients, participating in proposal development, and networking;

  • Applicants must be authorized to work in the U.S. without sponsorship now or in the future


Preferred:

  • Prior professional services/consulting firm experience

  • Experience with visualizing and communicating analytical results using technologies such as Tableau, Power BI, Cognos, QlikView, Spotfire, and D3

For individuals assigned and/or hired to work in California, Colorado, or New York, Ankura is required to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the said markets and considers a broad range of factors including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The range does not include additional benefits outside of salary. At Ankura, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each role. A reasonable estimate of the current base pay range is between $85,000 to $200,000; this range is not a promise of a particular wage.

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Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.