Market Risk Manager

Market Risk Manager

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

• Quantitative Modeling, Valuation, and Analytics
• Trading and Commercial Support
• Risk Framework, Controls, and Governance
• Systems, Data, and Automation

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.