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Model Risk Manager Jobs in Garland, TX (NOW HIRING)

Strong knowledge of risk management functions, specifically financial risk (e.g., liquidity/treasury, market, counterparty credit risk) and related non-financial risk (e.g., model, operational) and ...

... model, operational) and audit functions. Prior auditing experience in these areas. Exposure in working with risk management personnel would be an asset. • Strong ability to assess design ...

Analyze forecasting models, debt rating models and ratings and execute remedial management action plans. Facilitate relationships with clients in Banking and Risk, and with regulators, Internal Audit ...

Job purpose The Manager, Credit Risk is responsible for performance analysis, operational reporting ... Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an ...

... Validation Risk Manager, you will play a pivotal role within our Risk & Regulatory practice ... You will utilize skills in data manipulation, visualization, and statistical modeling to support ...

Job purpose The Manager, Credit Risk is responsible for performance analysis, operational reporting ... Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an ...

The Catastrophe Risk Analyst analyzes data, models risk and provides strategic recommendations to enhance risk management strategies. What will your job entail? Responsibilities * Conduct detailed ...

The Catastrophe Risk Analyst analyzes data, models risk and provides strategic recommendations to enhance risk management strategies. What will your job entail? Responsibilities * Conduct detailed ...

Showing results 21-40

Model Risk Manager information

See Garland, TX salary details

$49.8K

$107.8K

$164.3K

How much do model risk manager jobs pay per year?

As of Aug 26, 2026, the average yearly pay for model risk manager in Garland, TX is $107,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $124,600.00 per year, depending on experience, location, and employer.

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 skills and qualifications are needed to be a model risk manager?

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 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 popular job titles related to Model Risk Manager jobs in Garland, TX?

For Model Risk Manager jobs in Garland, TX, the most frequently searched job titles are:

What job categories do people searching Model Risk Manager jobs in Garland, TX look for?

The top searched job categories for Model Risk Manager jobs in Garland, TX are:

What cities near Garland, TX are hiring for Model Risk Manager jobs?

Cities near Garland, TX with the most Model Risk Manager job openings:

Infographic showing various Model Risk Manager job openings in Garland, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $107,783 per year, or $51.8 per hour.

Data Scientist (Mid-level) - Risk Modeling

USAA

Plano, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


USAA rating

8.1

Company rating: 8.1 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

64th of 172 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO.

Relocation assistance is not available for this position.

What you'll do:

  • Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
  • Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
  • Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
  • Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
  • Composes technical documents for knowledge persistence, risk management, and technical review audiences.
  • Assesses business needs to propose/recommend analytical and modeling projects to add business value.
  • Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders.
  • Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
  • Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
  • Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards.
  • Maintains awareness of cutting-edge techniques.
  • Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience.
  • 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis.
  • 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
  • 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
  • Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
  • Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
  • Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
  • Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
  • Ability to assess regulatory implications and expectations of distinct modeling efforts.
  • Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
  • Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
  • Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.

What sets you apart:

  • Risk modeling experience
  • Experience building and deploying machine learning models in production
  • P&C Insurance domain experience
  • Experience solving data problems with high levels of ambiguity
  • Experience working in a collaborative environment with multiple stakeholders
  • Strong attention to detail

Compensation range: The salary range for this position is: $114,080- $218,030.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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