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Model Validation Manager Jobs in Texas (NOW HIRING)

The Model Validation Director is expected to lead and execute model validation testing processes on ... Computer Science, Management Information Systems, or Statistics/Mathematics. * Experience with data ...

The Model Validation Director is expected to lead and execute model validation testing processes on ... Computer Science, Management Information Systems, or Statistics/Mathematics. * Experience with data ...

Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards that are required to manage modeling processes ...

JPI is committed to data-driven management and continuous improvement. Its team of experts utilizes ... and proprietary models - to ensure that every decision is strategic, focused, and produces ...

Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation. * Ensure key details ...

Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation. * Ensure key details ...

Monitor the end-to-end issues management lifecycle of findings resulting from model validations, including tracking remediation progress and verifying closure documentation. * Ensure key details ...

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Showing results 1-20

Model Validation Manager information

See Texas salary details

$44.3K

$98.2K

$149.5K

How much do model validation manager jobs pay per year?

As of May 28, 2026, the average yearly pay for model validation manager in Texas is $98,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $123,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

How does a Model Validation Manager typically collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

What does a Model Validation Manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.

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

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Model Validation jobs in Texas? The most popular types of Model Validation jobs in Texas are:
What job categories do people searching Model Validation Manager jobs in Texas look for? The top searched job categories for Model Validation Manager jobs in Texas are:
What cities in Texas are hiring for Model Validation Manager jobs? Cities in Texas with the most Model Validation Manager job openings:
Model Validation Director

Model Validation Director

Ankura

Dallas, TX • On-site, Remote

Full-time

Posted 18 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.