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Contract Model Risk Governance Jobs in Texas (NOW HIRING)

iShare, Inc.

SENIOR MODELING LEAD

Houston, TX · On-site

$145K - $165K/yr

Act as a primary escalation point for model risk, governance issues, technical challenges, partnering with risk, compliance as needed. * Lead model review and approval processes, ensuring all models ...

NRG Energy

Senior Director, Market Risk

Houston, TX · On-site

Risk Governance, Controls & Model Oversight * Ensure risk policies, methodologies, and procedures remain current, effective, and aligned with corporate risk tolerance and governance expectations.

Synchrony Financial

AVP, Model Validation

Dallas, TX · On-site

... Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline.

PayPal

Sr Machine Learning Engineer

Austin, TX · On-site

$55.25 - $73/hr

The position also supports AI and model risk governance to ensure compliance with PayPal's enterprise risk framework and evolving regulatory standards. Essential Responsibilities: * Develop and ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards that are required to manage modeling processes ...

Expand Energy

Market Risk Manager

Spring, TX · On-site

Lead or support model review, model validation readiness, model governance, and remediation of model limitations and control gaps * Ensure analytics and reporting align with board-approved risk ...

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Contract Model Risk Governance information

What are some common challenges faced by professionals in Contract Model Risk Governance roles, and how can they be addressed?

Professionals in Contract Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring thorough model documentation, and effectively communicating risk findings to both technical and non-technical stakeholders. Balancing the need for detailed model validation with tight project timelines can also be demanding. To address these challenges, it's important to foster strong cross-functional collaboration, stay updated on industry best practices, and develop clear communication strategies for reporting risk and compliance issues.

What is the difference between Contract Model Risk Governance vs Contract Model Validation?

AspectContract Model Risk GovernanceContract Model Validation
Primary FocusOverseeing and managing risks associated with contract models, ensuring compliance and risk mitigationAssessing and testing contract models to ensure accuracy and reliability
ResponsibilitiesEstablishing policies, monitoring risk exposure, and implementing controlsPerforming independent reviews, testing model assumptions, and validating outputs
Work EnvironmentRisk management teams, compliance departments, regulatory interactionsQuantitative teams, model validation units, audit functions

While Contract Model Risk Governance focuses on managing and overseeing risks related to contract models, Contract Model Validation involves the technical assessment and testing of those models to ensure their accuracy and reliability. Both roles are essential in a comprehensive risk management framework within financial institutions and industries relying on contract models.

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

To excel in Contract Model Risk Governance, you need a strong background in risk management, quantitative analysis, and familiarity with regulatory requirements, often supported by a degree in finance, mathematics, or a related field. Proficiency with risk management software, model validation tools, and knowledge of frameworks such as SR 11-7 is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for evaluating model risk and collaborating with stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and support sound decision-making within financial institutions.

What is Contract Model Risk Governance?

Contract Model Risk Governance refers to the framework and processes used by organizations to identify, assess, monitor, and mitigate risks associated with the use of models in contracts or contractual obligations. This role ensures that the use of quantitative models in financial and business contracts complies with regulatory standards and internal policies, reducing the likelihood of errors, misinterpretations, or financial losses. Professionals in this field often oversee model validation, implementation, and documentation, and work closely with compliance, risk, and legal teams. Effective governance helps maintain model integrity and supports sound decision-making across the organization.
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Contract Model Risk Governance jobs near you
Infographic showing various Contract Model Risk Governance job openings in Texas as of July 2026, with employment types broken down into 63% Full Time, 20% Part Time, 1% Temporary, and 16% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.
Senior Modeling Lead - an Antonio, TX & Plano, TX - Hybrid - Fulltime Role

Senior Modeling Lead - an Antonio, TX & Plano, TX - Hybrid - Fulltime Role

Lorven Technologies, Inc.

San Antonio, TX • On-site

Other

Posted 10 days ago

Job description

Looking for the consultants who have extensive experience in model development, data science, Python, and knowledge of AI/ML.

NOTE: Not looking for IT consultants

Role: Senior Modeling Lead

Location: San Antonio, TX & Plano, TX - Hybrid

Full-time Role

Job description:

We are seeking a Senior Modeling Lead to provide strategic and technical oversight across multiple AI/ML workstreams. In this role, you will direct a team of data scientists / modelers through full model development lifecycle, ensure consistency in modeling standards and governance practices, and serve as primary liaison between technical teams and senior stakeholders. Ideal candidate brings 9-10+ years of modeling experience and a proven ability to operate effectively at both strategic and technical levels.

Key Responsibilities:

  1. Provide strategic and technical leadership across multiple AI/ML modeling workstreams, ensuring alignment with business
  2. Oversee full model lifecycle across all workstreams — including development, validation, independent assessment, performance optimization, monitoring, documentation, and governance.
  3. Establish and enforce consistent modeling standards, methodology frameworks, explainability practices, and bias testing protocols across team.
  4. Act as a primary escalation point for model risk, governance issues, technical challenges, partnering with risk, compliance as needed.
  5. Lead model review and approval processes, ensuring all models meet internal governance requirements and applicable regulatory standards.
  6. Translate complex modeling outcomes and technical findings into clear, actionable insights for executive and non-technical stakeholders.
  7. Drive evaluation and adoption of emerging AI/ML tools, platforms, and methodologies, providing evidence-based recommendations to leadership.
  8. Recruit, mentor, and develop a high-performing team of senior and mid-level modelers, fostering a culture of technical rigor and continuous improvement.
  9. Define team's long-term analytical roadmap, balancing innovation with BAU delivery.
  10. Collaborate cross-functionally with data engineering, technology, operations, and business teams to align modeling solutions with broader organizational objectives.

Qualifications & Experience:

  1. 10+ years of progressive experience in quantitative modeling, data science, or applied AI/ML, with at least 3 years in a team leadership or senior technical lead capacity.
  2. Broad expertise across multiple modeling domains, such as predictive analytics, NLP, optimization, or AI platform evaluation.
  3. Strong proficiency in Python; familiarity with modern AI/ML frameworks, MLOps tooling, and large-scale data platforms.
  4. Deep understanding of end-to-end model lifecycle, including model risk management, validation frameworks, and regulatory expectations.
  5. Proven ability to lead and develop cross-functional modeling teams in a fast-paced, delivery-oriented environment.
  6. Experience engaging with model risk, audit, compliance, or regulatory stakeholders, and navigating governance and approval processes.
  7. Exceptional communication skills & ability to present complex technical concepts clearly to stakeholders.
  8. Track record of driving adoption of emerging AI/ML technologies in a structured manner.
  9. Advanced degree (Master’s or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline preferred.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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