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

This Audit Project Manager position supports the Model Risk team within Corporate Audit Services. This role is primarily responsible for managing and executing the administrative aspects of ...

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... Market Risk Manager is responsible for the monitoring of daily margin calculation and managing ...

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

Reports validation results and model risk trends/metrics to Enterprise Model Risk Management leadership. * Performs the independent model validation process aligned with the written risk and ...

Manages strategic initiatives and assists with the development and implementation of a risk-based ... Experience in Model Risk. * Experience in AI Governance. Compensation range: The salary range for ...

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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 Jun 13, 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 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 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 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 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 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 June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $102,325 per year, or $49.2 per hour.

Manager, Internal Audit- Risk Analytics/Modeling

Charles Schwab Inc.

Westlake, TX • On-site

$83K - $171K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Your Opportunity
Charles Schwab Internal Audit Department provides independent and objective assurance crafted to make valuable contributions and improve the operations of Schwab for all partners. Internal Audit assists Schwab to accomplish its objectives by using a detailed, focused approach to understand, evaluate, test and improve the effectiveness of business processes across the organization. Additionally, we evaluate the effectiveness of risk management, control and governance processes. Internal Audit leadership is responsible for overseeing the execution of internal audits, identifying and implementing process improvements, monitoring vendor performance, and periodically report to governance committees, federal regulators and the Audit Committee. The Internal Audit Department is exposed to and communicates with all areas of the company.
The Corporate Internal Audit team is seeking a Manager, Internal Audit, Risk Analytics/Modeling. The Corporate team is responsible for execution of audits over the firm's corporate and risk management functions including model risk.
We are hiring a quantitative senior specialist to perform testing as part of audit reviews of model development, governance and validation controls. This individual will contribute to the Corporate Internal Audit team.
The candidate will need strong quantitative acuity and developing understanding of how financial models are used in business contexts.
The role includes performing testing as part of audit reviews of various model types including: Capital Stress Testing (CST), Fraud, Anti-Money Laundering (AML), Machine Learning, Credit risk, Interest Rate risk, Margin risk, Investment risk, and Business Intelligence/Marketing.
The job responsibilities will include, but not be limited to:
  • Performing audit reviews of model development and validation following guidelines based on SR 11-7 Guidance on Model Risk Management, to include an assessment of model usage, documentation, conceptual soundness, data integrity, the control environment, and the software environment
  • Communicating work through formal audit reports and issues as well as through presentations to model owners, Model Risk Oversight (MRO) along with senior management
  • Working effectively as a team member with other quantitative analysts in Audit and at the company
  • Evaluating model performance monitoring reports, and conducting reviews of model annual reviews
  • Developing partnership with IAD business team, MRO, and model stakeholders, and summarizing findings to senior leadership and non-technical partners
  • Assist with the Model Centers of Excellence (COE) and subject matter experts including developing and supporting Model/Technical trainings to broader IAD (Senior Manager, Internal Audit)
  • Provide onboarding and ongoing support to new model team members
  • Performs initial reviews of model workpapers from a quantitative perspective to ensure effective challenge within model testing papers.

From an audit execution perspective:
  • Direct and supervise the design and execution of internal audits on models, ensuring work is performed in accordance with IAD methodology.
  • Participation on an audit team may include internal or co-sourced internal audit professionals.
  • Lead meetings with partners.
  • Ensure coordination with integrated and data analytic audit teams.
  • Prepare and/or review work papers to ensure clear identification of risks and issues, validating appropriateness of fieldwork testing, and sign-off on audit deliverables.
  • Handle and advance changes in audit timelines, budget, resourcing, and achievements.
  • Assess the quality of management's Risk & Control Self-Assessments.
  • Work with capital, interest rate, liquidity and model related audit areas.
  • Issues Identification: Based on the results of audit testing, identify and draft observations for review. Review draft issue observations, vet issues with key partners, identify compensating controls, and evaluate the appropriateness of the management action plan prior to finalizing the audit report.
  • Issue Management and Validation: Monitor and review issue validation testing to ensure comprehensive testing and adherence to SLAs.
  • Business and Project Monitoring: Participate in the department's business and project monitoring program execution to identify emerging risks.
  • Risk Assessment: Participate in the annual Risk Assessment process, including the scoring and documentation of risk ratings. Review audit universe updates after the completion of each audit.
  • Coaching: Provide support, mentoring, and feedback to the audit team throughout the audit. Provide assistance with onboarding and ongoing support to new team members.
  • This will be an individual contributor role.

What you have
Required skills and qualifications:
  • Advanced degree in a quantitative field (economics, statistics, finance, mathematics, physics)
  • 2-3 years of work experience in quantitative modelling
  • Advanced skill with one or more analytical tools, such as SAS, R, Python, or MATLAB
  • Strong oral and written communication skills
  • Excellent people skills
  • Clear understanding of methodology and regulatory expectations in the execution of audit work, issue validation, MRA validation, and the response to regulatory inquiries.

Preferred skills and qualifications:
  • Solid understanding of financial predictive modeling fields, such as consumer behavioral modeling, time series forecasting, dynamic equilibrium models, optimization theory, panel data analysis, and decision science
  • Experience with Non-Maturity Deposit Models, market risk analysis, and interest rate risk analysis
  • Experience working as a quant in the financial industry
  • Detailed knowledge of model governance processes and regulatory requirements for large US banks
  • CFA and or FRM certification