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

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Translate market views, deal structures, and operational realities into actionable analytics that ... traders, risk managers, finance, and executives. * High standards for accuracy, transparency ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Translate market views, deal structures, and operational realities into actionable analytics that ... traders, risk managers, finance, and executives. * High standards for accuracy, transparency ...

IKG USA LLC

Continuous Improvement Manager

Houston, TX · On-site

$90K - $121K/yr

The Continuous Improvement & Risk Manager is responsible for driving operational excellence, reducing organizational risk, and improving workplace safety across manufacturing operations. This role ...

IKG

Continuous Improvement Manager

Houston, TX · On-site

$90K - $121K/yr

The Continuous Improvement & Risk Manager is responsible for driving operational excellence, reducing organizational risk, and improving workplace safety across manufacturing operations. This role ...

IKG USA LLC

Continuous Improvement Manager

Houston, TX · On-site

$90K - $121K/yr

The Continuous Improvement & Risk Manager is responsible for driving operational excellence, reducing organizational risk, and improving workplace safety across manufacturing operations. This role ...

jbpco

Risk Manager - Claims

Houston, TX

Reporting to the JBPCO Claims Manager, the Claims Manager will be responsible for driving optimum claims outcomes, supporting operational goals and business objectives and providing customer service ...

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Operational Risk Manager information

See Houston, TX salary details

$44.9K

$115.3K

$226.3K

How much do operational risk manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for operational risk manager in Houston, TX is $115,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $151,800.00 per year, depending on experience, location, and employer.

What does an operational risk manager do?

An operational risk manager works to identify and limit the risk associated with a company’s operations. As an operational risk manager, your responsibilities involve assessing business operations, identifying issues, and creating reports on your findings. You then help develop policies and implement changes to lessen operational risks. Other duties include continually monitoring the business to find potential new threats and ensuring company compliance with laws and regulations.

What are the key skills and qualifications needed to thrive as an operational risk manager, and why are they important?

To thrive as an Operational Risk Manager, you need a solid understanding of risk assessment, regulatory compliance, and internal controls, typically supported by a degree in finance, business, or a related field. Familiarity with risk management frameworks, GRC (governance, risk, and compliance) systems, and certifications such as FRM or ORM are highly valued. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for identifying, mitigating, and communicating operational risks, ensuring organizational stability and regulatory adherence.

What are some common challenges faced by operational risk managers in maintaining effective risk controls across different departments?

Operational Risk Managers often encounter challenges in ensuring consistent risk controls due to varying processes, priorities, and risk appetites across departments. Communication gaps and resistance to change can make it difficult to implement standardized procedures. Successfully overcoming these challenges involves building strong cross-functional relationships, conducting regular training, and fostering a risk-aware culture to ensure alignment on risk management practices throughout the organization.

What is the difference between Operational Risk Manager vs Risk Analyst?

AspectOperational Risk ManagerRisk Analyst
CertificationsCFA, FRM, or similarCFA, FRM, or similar
Work EnvironmentFinancial institutions, banks, insurance companiesFinancial firms, consulting, corporate risk teams
ResponsibilitiesIdentify, assess, and mitigate operational risks; develop risk frameworksAnalyze risk data, support risk assessments, prepare reports

The Operational Risk Manager focuses on managing and mitigating operational risks within organizations, often holding certifications like CFA or FRM. In contrast, Risk Analysts primarily analyze risk data and support risk management processes. Both roles are vital in financial sectors and share similar credentials, but the Operational Risk Manager has a broader responsibility for risk mitigation strategies.

More about Operational Risk Manager jobs

What are the most commonly searched types of Operational Risk jobs in Houston, TX?

The most popular types of Operational Risk jobs in Houston, TX are:

What are popular job titles related to Operational Risk Manager jobs in Houston, TX?

For Operational Risk Manager jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Operational Risk Manager jobs in Houston, TX look for?

The top searched job categories for Operational Risk Manager jobs in Houston, TX are:

What cities near Houston, TX are hiring for Operational Risk Manager jobs?

Cities near Houston, TX with the most Operational Risk Manager job openings:

Operational Risk Manager jobs near you
Infographic showing various Operational Risk Manager job openings in Houston, TX as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $115,270 per year, or $55.4 per hour.

Quantitative Risk Manager

Spring, TX • On-site

Expand Energy
1 - 5K employees
Learn more about Expand Energyexternal

Full-time

Re-posted 26 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 Senior 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.

Education
  • Bachelor's degree from an accredited University required in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related.
  • Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related.

Experience
  • 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.

Preferred Experience / Strong Pluses
  • 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.

Additional Qualifications
Core Competencies
  • 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.

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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