1

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

... model risk management standards. • Lead change management efforts related to AI adoption, including stakeholder engagement, communication, and education. • Translate complex AI concepts into ...

Ensure AI initiatives comply with regulatory, ethical, data governance, and model risk management standards. Change Leadership & Enablement * Lead change management efforts related to AI adoption ...

Ensure AI initiatives comply with regulatory, ethical, data governance, and model risk management standards. Change Leadership amp; Enablement * Lead change management efforts related to AI adoption ...

Demonstrate ownership by balancing growth, operational soundness, and talent decisions while proactively managing risk, resolving issues, and modeling behaviors that protect customers, employees, and ...

Demonstrate ownership by balancing growth, operational soundness, and talent decisions while proactively managing risk, resolving issues, and modeling behaviors that protect customers, employees, and ...

... modeling, projections, and sensitivity analysis • Strong analytical judgment with sound risk awareness • Ability to manage multiple complex assignments and meet deadlines • Collaborative ...

... modeling, projections, and sensitivity analysis • Strong analytical judgment with sound risk awareness • Ability to manage multiple complex assignments and meet deadlines • Collaborative ...

... risk. Perks and Benefits Forgen offers a comprehensive benefits package, including medical, dental ... We support a flexible work model for most non-craft positions and provide additional perks like ...

Be familiar with company risk policies. * Lead safety efforts for team and ensure team follows ... Responsible for creating and modeling a safe work environment; demonstrates safety practices.

Be familiar with company risk policies. * Lead safety efforts for team and ensure team follows ... Responsible for creating and modeling a safe work environment; demonstrates safety practices.

next page

Showing results 1-20

Model Risk Manager information

See Waco, TX salary details

$45.7K

$99K

$150.9K

How much do model risk manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for model risk manager in Waco, TX is $99,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $114,500.00 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 Waco, TX look for? The top searched job categories for Model Risk Manager jobs in Waco, TX are:
What cities near Waco, TX are hiring for Model Risk Manager jobs? Cities near Waco, TX with the most Model Risk Manager job openings:
AI Specialist

Full-time

Posted 26 days ago


Job description

Job Summary:
Extraco Banks is seeking an experienced, strategic, and forward-thinking AI Specialist to lead the responsible adoption and optimization of Artificial Intelligence across the organization. This on-site role partners closely with business leaders and technology teams to identify high-value AI opportunities and ensure alignment with business objectives and regulatory expectations.
Responsibilities:
• Develop and execute the bank’s enterprise AI adoption strategy aligned with business goals and risk appetite.
• Identify, evaluate, and prioritize AI use cases across lines of business, including fraud detection, credit risk, operations, and customer experience.
• Define success metrics, KPIs, and maturity indicators to measure AI performance and value realization.
• Serve as the internal subject matter expert on AI capabilities, trends, limitations, and financial services applications.
• Ensure AI initiatives comply with regulatory, ethical, data governance, and model risk management standards.
• Lead change management efforts related to AI adoption, including stakeholder engagement, communication, and education.
• Translate complex AI concepts into clear, actionable guidance for executive and non‑technical audiences.
• Partner with HR and Learning & Development to build enterprise AI awareness and skills.
• Promote a culture of responsible AI use, innovation, and continuous improvement.
• Serve as a bridge between business teams, Data Intelligence, Information Systems, Audit, Compliance, and third‑party vendors.
• Guide intake, evaluation, and implementation of AI tools, platforms, and vendor solutions.
• Monitor emerging AI technologies, regulatory guidance, and industry best practices; recommend strategic adjustments as needed.
• Serve as backup support for Process Improvement Specialists when necessary, including:
• Workflow creation and management
• Leading process improvement initiatives
• Implementing workflow enhancements
• Creating and maintaining SQL databases
• Providing technical and analytical support for 'Lean 2 Green' process improvement submissions.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Business, Finance, or a related field required
• 5+ years of experience in technology, data, analytics, automation, or related roles
• Demonstrated experience leading or managing AI, machine learning, analytics, or automation initiatives
• Experience working within financial institutions, fintechs, or other highly regulated industries
• Strong understanding of AI concepts, limitations, and risks in a regulated environment
• Familiarity with model risk management, data governance, and regulatory expectations related to AI
• Experience working with vendors and third‑party AI solutions
• Strong AI and data literacy with a practical, business‑focused mindset
• Proven ability to influence across teams and lead organizational change
• Strategic thinker with strong analytical and problem‑solving skills
• Exceptional written and verbal communication skills
• High level of governance, risk, and compliance awareness
• Self‑directed learner capable of mastering new technologies quickly
• Effective collaborator with accountability and initiative
• Commitment to long‑term career development and organizational success
Preferred:
• Master’s degree preferred
• Certifications or formal training in AI, data science, cloud platforms, or change management preferred
Company:
Extraco Banks is a banking firm that provides banking, mortgage, and investment services. Founded in 1991, the company is headquartered in Belton, USA, with a team of 201-500 employees. The company is currently Growth Stage.