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

Expand Energy

Market Risk Manager

Spring, TX · On-site

Build and enhance models for optional and structured transactions, including storage, transport ... traders, risk managers, finance, and executives * High standards for accuracy, transparency ...

Expand Energy

Market Risk Manager

Spring, TX · On-site

Build and enhance models for optional and structured transactions, including storage, transport ... traders, risk managers, finance, and executives * High standards for accuracy, transparency ...

WSP

Senior Risk Manager

Houston, TX · On-site

Develop and maintain quantitative economic risk models to evaluate the probability and impact of ... Ability to manage challenging behaviors and maintain effective working relationships based on ...

WSP

Senior Risk Manager

Houston, TX · On-site

Develop and maintain quantitative economic risk models to evaluate the probability and impact of ... Ability to manage challenging behaviors and maintain effective working relationships based on ...

Deloitte

Financial Risk Manager

Houston, TX

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

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Build and enhance models for optional and structured transactions, including storage, transport ... traders, risk managers, finance, and executives. * High standards for accuracy, transparency ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Build and enhance models for optional and structured transactions, including storage, transport ... traders, risk managers, finance, and executives. * High standards for accuracy, transparency ...

Aramco

Head of Market Risk

Houston, TX · On-site

Risk Management Strategy and Oversight * Lead the development and execution of the risk management ... Advanced Risk Modeling * Utilize sophisticated quantitative techniques to model market and credit ...

Huntington

Cybersecurity Risk Manager

Houston, TX · On-site +1

$70K - $140K/yr

Bachelor's degree in cybersecurity, risk management, or similar field * Minimum of 5 years of ... modeling * 2 + years' experience with cybersecurity related policy, procedures, or standards ...

New

Huntington

Cybersecurity Risk Manager

Houston, TX · On-site +1

$70K - $140K/yr

Bachelor's degree in cybersecurity, risk management, or similar field * Minimum of 5 years of ... modeling * 2 + years' experience with cybersecurity related policy, procedures, or standards ...

Chevron

Risk Control Digital Analyst

Houston, TX · Hybrid

Total Number of Openings 1 Manages the company's finance risk management strategy (interest rate ... Evaluate and model risk profiles using scenario analysis, stress testing, and VaR methodologies

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All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Houston, TX

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 13, 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:
Model Risk Manager jobs near you
Market Risk Manager

Market Risk Manager

Expand Energy

Spring, TX • On-site

Full-time

Posted 24 days ago

Job description

Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.
We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.
Job Summary
We are seeking a Quantitative Risk Manager to develop, enhance, and govern quantitative models used to value, risk assess, and explain exposures across natural gas, LNG, power, and related structured/optional physical and financial transactions in a commodity trading business. The role will partner closely with trading, structuring, origination, middle office, risk, technology, and finance to deliver decision-quality analytics, robust model governance, and scalable reporting.
This role is designed for a candidate who combines cross-commodity quantitative rigor in their quantitative risk leadership with practical energy trading valuation and risk-control orientation.
Job Duties & Responsibilities
1) Quantitative Modeling, Valuation, and Analytics
  • Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios
  • Build and enhance models for optional and structured transactions, including storage, transport, tolling, heat-rate optionality, basis/spread structures, swing optionality, and other asset-backed or logistics-driven exposures
  • Support mark-to-market, fair value, forward curve construction, volatility surfaces, scenario analysis, and P&L attribution for complex positions and portfolios
  • Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting, component risk, sensitivity analysis, and scenario analysis

2) Trading and Commercial Support
  • Partner directly with traders, originators, and structurers to evaluate transactions, challenge assumptions, explain model outputs, and support hedging and optimization decisions
  • Translate market views, deal structures, and operational realities into actionable analytics that support commercial decisions across gas, LNG, and power
  • Provide analysis of risk drivers, spread movements, optionality value, and changes in valuation or risk metrics to risk committees and senior leadership

3) Risk Framework, Controls, and Governance
  • Strengthen the quantitative underpinnings of the firm's market risk framework, including model documentation, assumptions governance, testing standards, and auditability
  • 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 tolerances, internal policies, and evolving control requirements

4) Systems, Data, and Automation
  • Build or enhance scalable analytics in Python and related tools to automate recurring calculations, improve transparency, and reduce manual risk processes
  • Work with ETRM/CTRM systems and market data infrastructure to ensure robust integration of curves, positions, valuation logic, and risk outputs. Experience with systems such as Endur, Allegro, ZEMA, or comparable platforms is valuable
  • Create reports, dashboards, and visualizations that communicate complex quantitative results clearly to both technical and non-technical stakeholders

Job Specific Skills
  • Advanced Python skills for quantitative analytics, risk engines, data pipelines, and automated reporting; familiarity with pandas, NumPy, SciPy, and production-quality coding practices is expected
  • Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages
  • Strong understanding of probability, statistics, stochastic modeling, option pricing, numerical methods, Monte Carlo simulation, and time-series analysis
  • Experience with data visualization and reporting tools and the ability to present quantitative insights clearly to senior stakeholders
  • Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data exploration, or insight generation, with appropriate controls for model risk, reproducibility, and governance
  • Familiarity with Git/GitHub/GitLab, software lifecycle controls, and documentation standards is highly desirable
  • Strong commercial judgment with the ability to connect quantitative outputs to real trading decisions
  • Clear communicator who can explain complex model behavior, assumptions, and limitations to traders, risk managers, finance, and executives
  • High standards for accuracy, transparency, governance, and documentation
  • Comfortable operating in a fast-moving, front-office-adjacent trading environment where priorities evolve and analytics must be both rigorous and timely

Education
Minimum: Bachelor's degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Preferred: Advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Preferred: PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Experience
  • Strong experience in quantitative risk, quantitative analytics, structuring, valuation, or model development in a commodity trading, energy trading, merchant energy, utility trading, hedge fund, or investment banking environment.
  • Demonstrated hands-on experience modeling, valuing, and risk assessing instruments and portfolios in natural gas, LNG, and power.
  • Strong understanding of both physical and financial commodity markets, including forwards, swaps, options, structured transactions, and asset-backed exposures.
  • Experience with market risk metrics, including VaR/GMaR/EaR/stress/scenario frameworks, and the ability to explain risk in a trading context rather than only from a theoretical perspective.
  • Experience in asset-backed trading, including storage, transport, generation, renewables, batteries, or tolling structures in North America gas markets.
  • Proven success working cross-functionally with front office, risk, operations, finance, and technology teams.

Additional Qualifications
  • Experience spanning both financial trading and physical energy trading, especially where the role bridged derivatives pricing with logistics, dispatch, storage, or LNG optionality
  • Model validation, model governance, or formal model review experience
  • Exposure to LNG portfolio modeling, shipping/scheduling optionality, or international gas/LNG valuation frameworks
  • Experience supporting power market analytics such as nodal pricing, CRRs/FTRs, heat-rate modeling, dispatch logic, congestion analysis, or ISO/RTO market behavior
  • Ability to mentor junior analysts and influence standards for quantitative methods across the organization

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.
Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.

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