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Model Risk Manager Jobs in Texas (NOW HIRING)

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

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

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

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

Diocese of Austin

Associate Risk Manager

Austin, TX · On-site

The Associate Risk Manager reports to and supports the Director of Risk Management to administer ... modeling the teachings of the Catholic Church. • Continuously grow in your ministry by ...

Optimus

Risk Manager, Oil Liquids

Houston, TX · On-site

Our client is looking to add a Risk Manager to support an established trading desk in Houston. This ... Identify and implement improvements to reporting, controls, and risk models (automation, tools ...

Optimus

Risk Manager, Natural Gas

Houston, TX · On-site

... add a Risk Manager to the team. This role sits close to the trading desk, owning daily P&L and ... Enhance reporting, models, and processes through automation and system improvements * Work cross ...

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Model Risk Manager information

See Texas salary details

$48K

$103.9K

$158.4K

How much do model risk manager jobs pay per year?

As of May 29, 2026, the average yearly pay for model risk manager in Texas is $103,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $120,200.00 per year, depending on experience, location, and employer.

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 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 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.

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 popular job titles related to Model Risk Manager jobs in Texas? For Model Risk Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Texas look for? The top searched job categories for Model Risk Manager jobs in Texas are:
What cities in Texas are hiring for Model Risk Manager jobs? Cities in Texas with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $103,932 per year, or $50 per hour.

Model Validation Analyst II

Frost Bank

San Antonio, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Description

It's about insights that are out of sight.

Does deciphering a secret code and discovering its hidden meaning excite you? Would you consider math to be your second language? Do you want the autonomy to improve processes and find solutions? If so, being a Model Validation Analyst II with Frost could be for you.

At Frost, it's about more than a job. It's about having a flourishing career where you can thrive, both in and out of work. At Frost, we're committed to fostering an environment that reflects our values and encourages team members to be the best they can be. In joining our adaptable, integrity-driven team, you'll become part of Frost's over 150-year legacy of providing unparalleled banking services.

Who you are:

As a Model Validation Analyst II with Frost, you are our monitor. In this role, you monitor and validate aggregate model risk in alignment with Frost's risk strategy. You will provide recommendations on how to adjust model risk. By turning data into insights, you will help us discover the accuracy of the most complex and significant financial, statistical, and behavioral models that are used within the organization. More than that, this role is about constant improvement and doing so with our signature all-win approach in mind.

What you'll do:

  • Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings. Focus on the most complex and significant models used within the organization. Ensure a thorough review by challenging key aspects of each model

  • Validate and review models regarding their theoretical soundness, testing design, and points of weakness

  • Interpret data to recognize any potential risk exposure; additionally, identify opportunities to use data in ways that enhance the strategic and tactical decisions made by management.

  • Develop challenger models that help validate existing models and assist with outcome analysis

  • Ensure compliance with the model risk monitoring framework

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

  • Evaluate the Bank's compliance with SR 11-7 regulatory guidance

  • Provide guidance and direction to less experienced analysts

  • Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes

What you'll need:

  • Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics

  • 2+ years of experience in the development or validation of financial, statistical, or mathematical models, preferably within the financial services industry

  • Mastery of statistics and numerical techniques

  • Demonstrated experience with documenting technical aspects of a model as well as presenting results/findings

  • Proficient in either SQL, SAS, R, or Python

  • Advanced knowledge of Microsoft Excel

  • Proficient in Microsoft computer applications

  • Excellent written and verbal communication skills

Additional Preferred Skills:

  • Ph.D. degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics

Our Benefits:

At Frost, we care about your health, your family, and your future and strive to have our benefits reflect that. This includes:

  • Medical, dental, vision, long-term disability, and life insurance

  • 401(k) matching

  • Generous holiday and paid time off schedule

  • Tuition reimbursement

  • Extensive health and wellness programs, including our Employee Assistance Program

  • Referral bonus program + more!

Since 1868, Frost has dedicated their expertise to provide exceptional banking, investment, and insurance services to businesses and individuals throughout Texas. Frost is one of the 50 largest U.S. banks by asset size and is a leader in banking customer satisfaction. At Frost, it's about being part of something bigger. If this sounds like you, we encourage you to apply and see what's possible at Frost.

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