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Weekend Model Risk Management Jobs in Roanoke, TX

Sunflower Bank NA

Model Risk Analyst

Dallas, TX · On-site

Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ...

Sunflower Bank, N.A.

Model Risk Analyst

Dallas, TX · On-site

Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ...

Sunflower Bank NA

Model Risk Analyst

Dallas, TX · Hybrid

Sunflower Bank is seeking a Model Risk Analyst to join its Enterprise Risk Management Department. The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ...

US Bank

Audit Project Manager - Model Risk

Irving, TX · On-site

$99.90K - $131.10K/yr

The Model Risk APM is primarily responsible for completing audit engagements with minimal ... Performing other duties as requested by management. Basic Qualifications * Bachelor's degree, or ...

Power Finance Texas

Risk Management Analyst

Dallas, TX · On-site

$70K - $85K/yr

Develop and maintain risk models, reports, and dashboards to support decision-making * Monitor ... risk management, financial analysis, or lending operations * Strong analytical and quantitative ...

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Weekend Model Risk Management information

See Roanoke, TX salary details

$49.5K

$107.1K

$163.2K

How much do weekend model risk management jobs pay per year?

As of May 30, 2026, the average yearly pay for weekend model risk management in Roanoke, TX is $107,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $123,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Weekend Model Risk Management, and why are they important?

To thrive in Weekend Model Risk Management, you need a solid background in quantitative analysis, statistics, and risk management, typically supported by a degree in finance, mathematics, or a related field. Familiarity with risk management frameworks, financial modeling software (such as SAS, Python, or R), and regulatory guidelines is crucial. Strong analytical thinking, attention to detail, and effective communication skills help differentiate top performers in this role. These skills ensure accurate risk assessment, compliance with regulations, and the ability to communicate complex findings to stakeholders even during off-peak hours.

What are some unique challenges faced by professionals working in Weekend Model Risk Management roles?

Professionals in Weekend Model Risk Management often face the challenge of addressing urgent model validation or risk assessment tasks outside of standard business hours, which requires strong time management and clear communication with weekday teams. Since model risk issues can arise unexpectedly, weekend teams must be adept at quickly assessing model performance, documenting findings, and escalating concerns as needed. Additionally, collaboration with cross-functional teams—such as compliance, IT, and front-office staff—is essential to ensure continuity of oversight and to resolve issues that may impact critical business decisions before the next trading week. This role offers exposure to a range of models and scenarios, helping build expertise and visibility within risk management functions.

What is Weekend Model Risk Management?

Weekend Model Risk Management refers to the process of identifying, assessing, and mitigating risks associated with financial and statistical models specifically over weekends or during non-standard business hours. This role is crucial for institutions that operate globally or require continuous monitoring to ensure models function properly and remain compliant even when regular staff may be unavailable. Weekend Model Risk Management professionals review model performance, validate data, and implement controls to prevent errors or breaches during off-peak times. Their work helps maintain the integrity and reliability of models used for trading, risk assessment, and decision-making.

What is the difference between Weekend Model Risk Management vs Weekend Quantitative Analyst?

AspectWeekend Model Risk ManagementWeekend Quantitative Analyst
CredentialsTypically requires risk management certifications, finance or quantitative degreesRequires quantitative degrees, often with programming skills
Work EnvironmentFocuses on risk assessment, model validation, complianceInvolves data analysis, model development, financial modeling
Industry UsageCommon in banking, asset management, financial institutionsCommon in hedge funds, investment banks, trading firms

Weekend Model Risk Management professionals focus on identifying and mitigating risks associated with financial models, ensuring compliance and accuracy. Weekend Quantitative Analysts primarily develop and analyze models to support trading and investment decisions. While both roles require quantitative skills and finance knowledge, their core responsibilities differ: risk management emphasizes validation and oversight, whereas quantitative analysis centers on model creation and optimization.

What cities near Roanoke, TX are hiring for Weekend Model Risk Management jobs? Cities near Roanoke, TX with the most Weekend Model Risk Management job openings:
Weekend Model Risk Management jobs near you
Head of Governance - Model Risk Management

Head of Governance - Model Risk Management

Vangard, Inc.

Dallas, TX • On-site

Full-time

Posted 18 days ago

Job description

Overview:
We're seeking a strategic and forwardthinking Head of Governance - Model Risk Management to shape and lead an enterprisewide model risk framework in an environment where models, data, and AI are rapidly evolving. This leader will ensure models across the organization are transparent, wellgoverned, and aligned with global regulatory expectations-driving defensible practices, strong oversight, and meaningful risk insight for senior leadership and regulators.
If you are passionate about elevating governance, influencing enterprise decisionmaking, and building a culture of accountability and risk excellence, this is a highimpact opportunity to lead the future of model and AI governance.

Responsibilities:

Framework Leadership

  • Lead the development, adoption and maintenance of the model risk framework, including policies, standards, business processes, and controls.
  • Monitor industry trends to ensure the model risk framework remains effective and efficient in managing evolving risks.
  • Partner with leaders across Vanguard to ensure model risk practices are well integrated with Enterprise, Data, Technology, Operational, and AI risk frameworks.


Committees and Senior Management Engagement

  • Support the Model Risk committee and oversee establishment of supporting Divisional Model Risk Governance forums.
  • Prepare executive-level materials for Risk Committees, Audit Committees and the Board.
  • Provide meaningful insights on model risk themes, emerging issues and model performance trends.
  • Establish robust processes for challenge, escalation and dispute resolution.


Regulatory, Audit and Compliance

  • Serve as liaison for model risk with internal (audit) and external (regulatory) stakeholders.
  • Ensure timely remediation of regulatory and audit findings.
  • Stay current on evolving global regulations, execute gap assessments and drive remediation efforts to ensure on-going compliance.


Model Inventory and Risk Appetite

  • Direct cross-functional processes such as enterprise-wide model inventory attestation to support completeness and accuracy.
  • Support development and reporting of the model risk appetite and associated Key Risk Indicators.


Technology, Data and Processes

  • Partner with the technology product owner to define requirements for model life cycle platforms.
  • Ensure governance processes are automated, scalable and executed to high data quality standards.


Leadership and Stakeholder Management

  • Lead the team of governance professionals.
  • Partner closely with the broader model risk community and connecting stakeholders (Developers, Owners, Validators, IT, Audit, AI and Enterprise Risk).
  • Promote a culture of transparency, accountability and the risk mindset.


Qualifications:

  • Advanced degree in a technical field (e.g., math, statistics, computer science).
  • At least eight years of relevant experience, including four years developing enterprise-wide policies, standards and protocols in model risk, AI or a related discipline.
  • Deep knowledge of model risk frameworks (SR11-7, SS1/23); experience with AI frameworks and the EU AI Act preferred.
  • Ability to drive enterprise-wide change and managing complex stakeholder environments.
  • Strong analytical, problem-solving and decision-making capabilities.
  • Exceptional communication and executive-presence skills with proven experience presenting to senior committees and managing executive-level stakeholders.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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