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Risk Quant Jobs (NOW HIRING)

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

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 ...

Ryan Specialty

Quantitative Risk Modeling Lead

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at Ryan Specialty, you will leverage your actuarial and quantitative expertise to shape the underwriting ...

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How much do risk quant jobs pay per year?

As of Jun 22, 2026, the average yearly pay for risk quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Risk Quant?

A Risk Quant typically spends their day developing and implementing quantitative models to measure and manage different types of financial risk, such as market, credit, or operational risk. They analyze data sets, conduct backtesting and stress testing, and report findings to risk managers or senior executives. Collaboration with traders, IT teams, and compliance professionals is also a routine part of the job to ensure models are both accurate and aligned with business goals. This role often involves continuous learning and adapting to new regulations, market conditions, and emerging quantitative techniques.

How much do risk quants get paid?

Risk quants typically earn between $100,000 and $200,000 annually, with senior professionals and those at top firms earning higher salaries and bonuses. Compensation often includes performance-based bonuses and may require advanced skills in quantitative analysis, programming, and risk modeling tools.

What is the salary of a quant risk analyst?

The salary of a risk quant analyst typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of the role. Senior risk quants with advanced skills in programming and financial modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

What are the key skills and qualifications needed to thrive in the Risk Quant position, and why are they important?

To thrive as a Risk Quant, you need a solid background in quantitative finance, statistics, mathematics, and advanced analytical skills, typically supported by a relevant degree such as in math, physics, or financial engineering. Expertise in programming languages like Python, R, or C++, familiarity with statistical modeling tools, and knowledge of financial risk management certifications (e.g., FRM or CFA) are highly valued. Strong communication, problem-solving skills, and the ability to work collaboratively with cross-functional teams make someone stand out in this position. These skills are important for accurately assessing complex financial risks, developing effective models, and providing actionable insights within a dynamic financial environment.

What does a Risk Quant do?

A Risk Quant (Risk Quantitative Analyst) is responsible for identifying, measuring, and managing financial risks using mathematical models and statistical techniques. They develop risk models, analyze market and credit risk, and ensure regulatory compliance in financial institutions. Their work involves programming, quantitative finance, and data analysis to assess potential losses and optimize risk strategies. Risk Quants typically work in investment banks, hedge funds, and asset management firms.

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations.

Do quants do risk management?

Risk quants, or quantitative analysts focused on risk, develop models and strategies to measure and manage financial risks such as market, credit, and operational risk. They often work closely with risk management teams and use tools like statistical analysis, programming, and risk assessment software to support decision-making and compliance. Their role is integral to implementing risk controls and ensuring financial stability within organizations.
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Risk Quant jobs near you
Infographic showing various Risk Quant job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Risk Manager

Expand Energy

Spring, TX • On-site

Other

Posted 3 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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