Quantitative Risk Analyst

Expand Energy Corporation; Town of Texas (WI); On-site; USD 110,000 - 150,000; Full time

Job summary

Expand Energy is seeking a Quantitative Risk Analyst to develop, govern, and enhance models for valuation and risk across natural gas, LNG, and power portfolios. You will partner with trading, structuring, risk, finance, and technology to deliver decision-quality analytics and scalable reporting.

You will build VaR- and ES-related frameworks, support hedging and optimization decisions, and continuously improve model governance and data automation using Python and ETRM/CTRM integrations.

Qualifications

• Bachelor's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related.
• Master's degree preferred or equivalent experience.
• Strong Python for quantitative analytics and risk engines is required.
• Experience with ETRM/CTRM systems and data infrastructure is valued.

Responsibilities

• Develop, maintain, and govern quantitative models for valuation, risk, and exposure across gas, LNG, power, and related transactions.
• Support trading, origination, risk, and finance with analytics and decision-quality outputs.
• Strengthen the risk framework, model governance, and auditability of risk processes.
• Develop scalable analytics in Python and integrate with ETRM/CTRM systems and market data.
• Create dashboards and reports to communicate complex results to technical and non-technical stakeholders.

Skills

Python

Pandas

NumPy

SciPy

SQL

C#

C++

VBA

Statistics

Monte Carlo

Time series

Data visualization

AI tools

Git

Education

Bachelor's degree

Master's degree

Tools

Endur

Allegro

ZEMA

Job description

Quantitative Risk Analyst

Date: Jul 18, 2026

Location: Spring, TX, US, 77389

Company: Expand Energy

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 Analyst 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\.

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\.
• 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

Technical 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 degr