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Quantitative Modeling Analyst Jobs (NOW HIRING)

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Job Duties & Responsibilities 1) Quantitative Modeling, Valuation, and Analytics * Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical ...

OVA.Work

Quantitative AI Analyst

The role involves developing predictive models and analytical solutions to support data-driven ... quantitative modeling techniques. Qualifications : Required : • Bachelor's or Master's degree in ...

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Quantitative Modeling Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative modeling analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for quantitative modeling analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quantitative modeling analyst?

To thrive as a Quantitative Modeling Analyst, you need strong quantitative skills, a background in mathematics, statistics, or finance, and typically a relevant degree such as in mathematics, statistics, economics, or engineering. Proficiency with data analysis tools and programming languages like Python, R, MATLAB, and experience with statistical modeling software are commonly required. Analytical thinking, attention to detail, and effective communication skills help you stand out in translating complex data into actionable insights. These skills are crucial for accurately building models, interpreting results, and supporting data-driven decision-making in finance or business environments.

What are some of the typical challenges quantitative modeling analysts face when collaborating with cross-functional teams?

Quantitative Modeling Analysts often work closely with teams from finance, IT, and business operations, which can present challenges such as communicating complex mathematical concepts to non-technical stakeholders and aligning model outputs with business objectives. Bridging the gap between technical model development and practical business application requires strong communication and collaboration skills. Additionally, analysts may need to adapt their models based on feedback from these teams, ensuring solutions are both accurate and actionable within operational constraints.

What is the difference between Quantitative Modeling Analyst vs Quantitative Analyst?

AspectQuantitative Modeling AnalystQuantitative Analyst
Required CredentialsDegree in Finance, Mathematics, or related field; often certifications like CFA or CQFSimilar credentials; often holds advanced degrees and certifications
Work EnvironmentFinancial institutions, hedge funds, asset management firmsFinancial firms, investment banks, asset managers
Primary FocusDeveloping and maintaining complex financial modelsAnalyzing data to inform investment decisions and risk management
Common UsageUsed when emphasizing model development and quantitative techniquesUsed for broader data analysis and investment strategy

While both roles require strong quantitative skills and similar credentials, the Quantitative Modeling Analyst primarily focuses on building and refining financial models, whereas the Quantitative Analyst often handles data analysis to support investment decisions. The roles overlap but differ in their core responsibilities within financial organizations.

What does a quantitative modeling analyst do?

A Quantitative Modeling Analyst uses mathematical models and statistical techniques to analyze data and solve complex problems in fields like finance, risk management, and business strategy. They develop and validate models to forecast outcomes, assess risks, and support decision-making. Their work often involves programming, data analysis, and collaborating with other teams to interpret results and improve business performance.
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What cities are hiring for Quantitative Modeling Analyst jobs? Cities with the most Quantitative Modeling Analyst job openings:
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What job categories do people searching Quantitative Modeling Analyst jobs look for? The top searched job categories for Quantitative Modeling Analyst jobs are:
Quantitative Modeling Analyst jobs near you
Infographic showing various Quantitative Modeling Analyst job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Risk Analyst

Expand Energy

Spring, TX • On-site

Full-time

Re-posted 17 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 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.
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.

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 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 Master's or PhD program focusing on commodity trading, energy trading, merchant energy, utility trading, hedge fund, or investment banking environment.
  • Demonstrated hands-on experience modeling optionality of complex and / or dynamical systems.

Preferred Experience / Strong Pluses
  • Understanding of both physical and financial commodity markets, including forwards, swaps, options, structured transactions, and asset-backed exposures a plus.
  • 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.
  • 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.

Additional Qualifications
Core Competencies
  • Ability to do independent research and apply theoretical techniques to real world problems.
  • 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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