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

Deep understanding of end-to-end model lifecycle, including model risk management, validation frameworks, and regulatory expectations. * Proven ability to lead and develop cross-functional modeling ...

... management Qualifications Experience with Risk Register Design and Framework Experience with Risk Scoring and Prioritization Model Experience with Governance Processes and Workflows Experience with ...

SENIOR MODELING LEAD

Houston, TX · On-site

$145K - $165K/yr

Deep understanding of end-to-end model lifecycle, including model risk management, validation frameworks, and regulatory expectations. * Proven ability to lead and develop cross-functional modeling ...

... model oversight, stress testing, and executive reporting to support informed decision-making across NRG's commercial and risk management activities. The leader serves as a strategic partner to senior ...

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Model Risk Manager information

See Houston, TX salary details

$49.2K

$106.5K

$162.3K

How much do model risk manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for model risk manager in Houston, TX is $106,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $123,200.00 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 are popular job titles related to Model Risk Manager jobs in Houston, TX? For Model Risk Manager jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Houston, TX look for? The top searched job categories for Model Risk Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Model Risk Manager jobs? Cities near Houston, TX with the most Model Risk Manager job openings:
Market Risk Senior II - Risk Management

Market Risk Senior II - Risk Management

Sempra

Houston, TX • On-site

Full-time

Re-posted 29 days ago


Job description

Primary Purpose


The Market Risk Senior II role designs scalable Market Risk frameworks spanning multiple portfolios, desks, and asset classes, shaping governance, analytical standards, and enterprise adoption of Market Risk practices. It monitors trading in line with Market Risk policies and develops tools supporting daily Trading. The role performs qualitative and quantitative analysis for Sempra Infrastructure's wholesale trading and commercial activities. Working across San Diego and Houston, it provides guidance, delivers insights to leadership, and produces key market risk reporting.
Duties and Responsibilities

  • Develop and manage risk models, processes, and data frameworks; produce periodic metrics, reports, and summaries to support business insights, performance monitoring, and informed decision-making across functions.
  • Maintain and support core risk systems, data structures, and configurations; ensure data integrity and operational accuracy while partnering with technology teams to enhance system functionality, scalability, and reporting capabilities.
  • Provide analytical and modeling support across risk-related activities; conduct independent reviews of models, assumptions, and outputs to ensure accuracy, consistency, and adherence to internal standards.
  • Collaborate cross-functionally to investigate and resolve issues, improve workflows, and coordinate responses; support regulatory compliance, audit readiness, and documentation requirements across processes and systems.
  • Provides insightful commentary of key portfolio activity including market intelligence, exposure changes and new deal activity.
  • Leads crossfunctional evaluations of new or emerging marketrisk drivers and develops recommendations to strengthen portfolio resilience.
  • Oversees the integration of enhanced data sources, analytics tools, and automation methods into risk workflows to improve the timeliness and depth of marketrisk insights.
  • Performs other duties as assigned.

Qualifications

Education

  • Required: Typically requires a 4 year degree in a relevant field, or equivalent combination of relevant education and experience.
  • Preferred: Masters in mathematics, statistics, economics, business, or other quantitative field from a top tier program is preferred.

Experience

  • Required: Typically requires 8 years of related experience.
  • Preferred: 5 + years of experience in trading, structuring or quantitative analysis experience in energy or financial markets.

Knowledge, Skills and Abilities

  • Market Risk Management - Market risk management is the process of identifying, assessing, and mitigating potential financial losses due to changes in market prices, using strategies like risk measurement, monitoring, and mitigation to protect an organization's financial health and overall value.
  • Statistical Analysis - The collection and interpretation of data in order to uncover patterns and trends. It is a component of data analytics.
  • Financial Modeling - Develop financial models and valuation models to arrive at a valuation conclusion.
  • Scenario Analysis - Evaluate the potential effects of different hypothetical scenarios on financial health and performance, used for strategic planning and risk management by assessing impacts of economic shocks or policy changes.
  • Stress Testing - A form of deliberately intense or thorough testing used to determine the stability of a given system or entity. It involves testing beyond normal operational capacity, often to a breaking point, in order to observe the results.
  • Data Analysis - Measuring and managing organization data, identifying methodological best practices and conducting statistical analyses.
  • Risk Management Information System (RMIS) - Managing a specialized software or database that organizations use to collect, store, and analyze data related to risk and insurance, which helps businesses assess and manage various risks, such as operational, financial, and insurable risks, by providing a centralized platform for tracking and reporting on risk-related information, claims, and insurance policies.
  • Liquidity Management - Optimizing, maximizing and safeguarding an organization's liquidity and maintaining a cash position to ensure the business has cash available when needed.
  • Portfolio Management - An integrated, multi-disciplinary, customer-first, approach to help organize and present brands and help them perform.
  • Technical Reporting - The creation of detailed and clear reports documenting technical findings, incidents, and resolutions, often including data analysis and recommendations.
  • Knowledge of VaR, Stress Testing, options valuation, and risk management methodologies.
  • Knowledge of Energy commodities markets (especially natural gas/LNG) and common finance/risk management practices.
  • Experienced with analytical and data manipulation. Knowledge of Excel/VBA/SQL/Python/Power BI.

Licenses and Certifications

  • Preferred: FRM or CFA is preferred.