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Model Risk Manager Jobs in Flower Mound, TX (NOW HIRING)

Financial Services Manager - Financial Risk Our Deloitte Regulatory, Risk & Forensic team helps ... Knowledge of financial services business models, products, and services * Experience in banking ...

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Model Risk Manager information

See Flower Mound, TX salary details

$47.2K

$102.3K

$155.9K

How much do model risk manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for model risk manager in Flower Mound, TX is $102,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $118,300.00 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 job categories do people searching Model Risk Manager jobs in Flower Mound, TX look for?

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

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

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

Infographic showing various Model Risk Manager job openings in Flower Mound, TX as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $102,325 per year, or $49.2 per hour.

Manager, Risk Analytics/Modeling

Westlake, TX • On-site

$140 - $190/hr

Other

Posted 11 days ago


Job description

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

The Asset Liability Management and Market Risk Modeling team within Corporate Treasury develops and maintains models that inform financial forecasting, market risk measurement, capital stress testing, and balance sheet strategy. As a Manager, ALM & Market Risk Modeling, you will serve as an individual contributor supporting fixed-income and mortgage modeling capabilities used to evaluate investment securities, loans, structured products, spreads, accumulated other comprehensive income, capital, and net interest income.

In this role, you will execute, monitor, test, and enhance AD&Co models and related analytics for agency and non-agency mortgage products, prepayment behavior, credit performance, asset-backed securities, option-adjusted spreads, fair value, income, and capital stress scenarios. You will apply analytical thinking and sound decision-making to assess model performance, investigate changes in results, conduct backtesting and benchmarking, and strengthen documentation, controls, and issue remediation.

Your work will help Schwab produce controlled, reliable, and insightful modeling outputs that support business-as-usual forecasting, market risk management, capital planning, and investment portfolio decisions. You will collaborate across Treasury, Finance, Investments, Risk, Capital Planning, and Model Risk Oversight, adapting your approach as priorities and market conditions evolve while clearly communicating model results, key drivers, production status, and emerging risks.

What you have

Required qualifications

  • Bachelor’s degree in Applied Mathematics, Engineering, Finance, Economics, Statistics, Computer Science, or a related quantitative discipline
  • 3+ years of relevant professional experience, or an equivalent combination of professional experience and graduate study, in banking, balance sheet management, asset liability management, market risk, or capital stress testing
  • Experience using in-house or third-party prepayment models, including AD&Co or a comparable platform, to support balance sheet management, financial forecasting, or stress testing
  • Knowledge of fixed-income modeling concepts, including duration, optionality, option-adjusted spreads, accumulated other comprehensive income, sensitivity analysis, and scenario-based risk analysis
  • Knowledge of mortgage prepayment behavior, including refinance incentives, burnout, turnover, seasonality, and borrower credit characteristics
  • Experience supporting model development and evaluation through feature selection, backtesting, performance monitoring, benchmarking, and model tuning
  • Experience using Python, SQL, Microsoft Excel, or comparable analytical tools for data analysis, model monitoring, workflow automation, and controlled evidence retention
  • Ability to apply analytical thinking, problem solving, and attention to detail when evaluating model results, identifying risks, and escalating issues in a controlled environment

Preferred qualifications

  • Advanced degree in a quantitative or technical discipline
  • CFA, FRM, PRM, or a comparable professional designation
  • Experience with capital stress testing, including Comprehensive Capital Analysis and Review or company-run stress testing processes
  • Experience developing or supporting models for asset-backed securities, mortgage products, structured finance, spreads, option-adjusted spreads, fair value, income, or accumulated other comprehensive income
  • Experience establishing and executing model controls, including input reviews, output reasonableness checks, sensitivity analysis, documentation, and evidence retention
  • Experience supporting model validation, regulatory or internal audits, issue remediation, and audit readiness
  • Ability to interpret complex analytical results, identify meaningful drivers of change, and communicate conclusions clearly to technical and nontechnical stakeholders
  • Demonstrated adaptability when managing multiple priorities, responding to changing assumptions, and solving problems with incomplete or evolving information
  • Ability to build collaborative relationships across Treasury, Finance, Investments, Risk, Capital Planning, and Model Risk Oversight

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

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