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Associate Quantitative Risk Analyst Jobs in Houston, TX

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 ...

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 ...

Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ... Strengthen the quantitative underpinnings of the firm's market risk framework, including model ...

Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ... Strengthen the quantitative underpinnings of the firm's market risk framework, including model ...

Collaborate with quantitative analysts to refine model assumptions, validate model outputs, and ensure accuracy in risk measurement. * Apply advanced statistical techniques and machine learning ...

Specialist knowledge in Risk Management software (i.e., MCS software) and experienced with quantitative cost & schedule risk analysis. * Demonstrable involvement / history in the relevant project ...

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

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

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Associate Quantitative Risk Analyst information

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How much do associate quantitative risk analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for associate quantitative risk analyst in Houston, TX is $38.66, according to ZipRecruiter salary data. Most workers in this role earn between $28.46 and $47.07 per hour, depending on experience, location, and employer.

What is an associate quantitative risk analyst?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an associate quantitative risk analyst?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.

What are some common challenges faced by associate quantitative risk analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

What are popular job titles related to Associate Quantitative Risk Analyst jobs in Houston, TX?

For Associate Quantitative Risk Analyst jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Associate Quantitative Risk Analyst jobs in Houston, TX look for?

The top searched job categories for Associate Quantitative Risk Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Associate Quantitative Risk Analyst jobs?

Cities near Houston, TX with the most Associate Quantitative Risk Analyst job openings:

Infographic showing various Associate Quantitative Risk Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $80,418 per year, or $38.7 per hour.

Quantitative Risk Analyst

Executive Search Partners Inc.

Houston, TX • On-site

Other

Posted 6 days ago


Key responsibilities

  • Analyze price volatility, correlation structures, operational uncertainty, and margin/earnings drivers across fuels, basis, and power markets

  • Conduct margin, earnings, and cash-flow at-risk analysis of thermal, renewable, and intermittent generation

  • Support transaction-level risk measurement, including exposure, sensitivities, and VaR-type metrics


Job description

ABOUT THE POSITION


The Quantitative Risk Analyst will play a key role in advancing the firm's modeling and risk analytics capabilities to support critical commercial and operational decision-making across our power and natural gas portfolio. This position is embedded within the Commercial Operations and Risk Management teams and is responsible for delivering actionable quantitative insights that inform fuel strategy, dispatch optimization, margin and basis exposure, capacity planning, liquidity management, and new project evaluation. This role requires strong quantitative acumen and the ability to build practical, decision-ready models in environments where data may be incomplete or evolving.

The Quantitative Risk Analyst will apply both deterministic and probabilistic methodologies across fuel supply analysis, dispatch optimization, portfolio risk measurement, and broader commercial analytics. Working cross-functionally with commercial, operations, and finance teams, this individual will translate complex analytical outputs into clear, decision-focused insights for leadership. The position will be instrumental in maturing the organization’s analytical framework—supporting both near-term operational performance and long-term capital planning initiatives.


KEY RESPONSIBILITIES Modeling & Risk Analytics

• Analyze price volatility, correlation structures, operational uncertainty, and margin/earnings drivers across fuels, basis, and power markets

• Conduct margin, earnings, and cash-flow at-risk analysis of thermal, renewable, and intermittent generation

• Model plant-level earnings and variable margin at risk using deterministic and probabilistic methods

• Support transaction-level risk measurement, including exposure, sensitivities, and VaR-type metrics appropriate for the firm's portfolio

• Estimate potential future exposure (PFE) for collateral and commodity transactions using available inputs and practical simulations • Evaluate fuel supply, storage, transport options, and dual-fuel dispatch constraints • Support structured contract and PPA valuation • Analyze project economics for new development and acquisitions

• Run deterministic cases, sensitivities, scenario analysis across fuels, basis, weather, and dispatch drivers, and historical/hypothetical/asset-specific stress tests

• Execute probabilistic or Monte Carlo simulations, as appropriate

• Document methods, implement model and data audit controls, and ensure models are reproducible


Market & Portfolio Risk Measurement

• Measure and explain exposure across hub and nodal power markets

• Track and analyze natural gas, transportation, storage, and basis exposures

• Evaluate congestion, DA/RT dynamics, and operating uncertainty impacts on exposure

• Monitor capacity market/auctions and ancillary services exposure

• Provide clear P&L, liquidity, and operating exposure attribution to management


Forward Curves & Marking

• Assist with forward curve development and maintenance for power and natural gas, and adjacent commodities and markets

• Develop and maintain basis curves

• Build nodal and hourly shape curves and seasonal adjustments, where appropriate

• Model seasonal and weather-driven price sensitivities, and other fundamental factors

• Support curve validation and publishing for internal use


Professional

o 2–6 years in energy modeling, risk analytics, or quantitative valuation

o

Understanding of power and natural gas markets (heat rates, dispatch, basis/transport)

o Ability to apply and explain stochastic or probabilistic methods

o Demonstrated ability to work in a hands-on role in a lean environment, requiring independent problem-solving and comfort operating with incomplete data

o Experience in PJM, ERCOT, ISO-NE, NYISO, MISO, SPP, or CAISO markets

o Experience with market data from ISOs, pipeline postings, and market data vendors

o Familiarity with valuation tools (MATLAB, R, @Risk, CQuant, or similar)

o Exposure to PPA valuation, tolling, hedging, or structured transactions

o Understanding of BESS concepts and modelling