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Model Risk Analyst Jobs in Texas (NOW HIRING)

Catastrophe Risk Analyst

Dallas, TX ยท On-site

$72K - $90K/yr

The Catastrophe Risk Analyst analyzes data, models risk and provides strategic recommendations to enhance risk management strategies. What will your job entail? Responsibilities * Conduct detailed ...

Catastrophe Risk Analyst

Dallas, TX ยท On-site

$72K - $90K/yr

The Catastrophe Risk Analyst analyzes data, models risk and provides strategic recommendations to enhance risk management strategies. What will your job entail? Responsibilities * Conduct detailed ...

Collaborate closely with senior analysts to contribute to the refinement of risk models and offer insights into market dynamics KEY DUTIES and RESPONSIBILITIES * Execute daily risk control process ...

This is a Director level position within the NFR Data & Analytics team, which is responsible for ... Model Risk Management, and Internal Audit D. Part 2: Scope of Role - What you'll bring: > Ability ...

Support model risk oversight by reviewing model performance results, validation findings ... Analyze governance results, credit decisioning trends, policy exceptions, model monitoring outputs ...

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

Modeling and analytics are not a support function--they are core strategic capability dictates how we grow, price risk, optimize our portfolio, and maintain a sustainable competitive advantage. The ...

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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Model Risk Analyst information

See Texas salary details

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How much do model risk analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for model risk analyst in Texas is $37.72, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $45.91 per hour, depending on experience, location, and employer.

What is a model risk analyst?

A Model Risk Analyst evaluates, validates, and monitors financial models to ensure they function correctly and comply with regulatory standards. They identify potential risks in model assumptions, data quality, and methodologies. Their work helps financial institutions mitigate model-related risks that could lead to inaccurate decision-making. Analysts collaborate with model developers, risk managers, and auditors to improve model performance and documentation. Strong analytical, statistical, and programming skills are essential for this role.

What skills and qualifications are needed to be a model risk analyst?

To thrive as a Model Risk Analyst, you need strong quantitative analysis skills, a background in mathematics, statistics, finance, or a related field, and experience in model validation practices. Familiarity with programming languages such as Python, R, SAS, and tools like Excel, along with knowledge of regulatory requirements such as SR 11-7, is typically essential; certifications like FRM or CFA can be advantageous. Excellent communication, attention to detail, and critical thinking are important soft skills for presenting findings and collaborating with cross-functional teams. Mastery of these skills ensures the integrity and reliability of risk models, supporting sound business decisions and regulatory compliance.

What challenges might a model risk analyst face in their daily work?

Model Risk Analysts often encounter challenges such as ensuring data quality, identifying model limitations, and keeping up with evolving regulatory standards. They must frequently balance the technical rigor needed to validate complex financial models with the need to communicate their findings clearly to stakeholders without a technical background. Additionally, adapting quickly to new modeling methodologies or changing business priorities is common. Overcoming these challenges requires ongoing learning, strong collaboration with model developers, and a proactive approach to risk management.

Do model risk analysts make good money?

Model risk analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions often start around $70,000 annually, with experienced professionals earning over $120,000, especially in financial services and banking sectors. Certifications like CFA or FRM and proficiency in programming tools such as Python or SAS can enhance earning potential.

What does a model risk analyst do?

A model risk analyst evaluates and monitors the risks associated with financial and operational models used by organizations. They review model assumptions, validate model accuracy, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent financial loss and supports decision-making processes.
Infographic showing various Model Risk Analyst job openings in Texas as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, 2% Temporary, and 6% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $78,454 per year, or $37.7 per hour.

Quantitative Risk Analyst

Houston, TX โ€ข On-site

Other

Posted 10 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 organizationโ€™s analytical frameworkโ€”supporting both near-term operational performance and long-term capital planning initiatives.


KEY RESPONSIBILITIES Modeling & Risk Analytics

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

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

โ€ข Model plant-level earnings and variable margin at risk using deterministic and probabilistic methods

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

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

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

โ€ข Execute probabilistic or Monte Carlo simulations, as appropriate

โ€ข Document methods, implement model and data audit controls, and ensure models are reproducible


Market & Portfolio Risk Measurement

โ€ข Measure and explain exposure across hub and nodal power markets

โ€ข Track and analyze natural gas, transportation, storage, and basis exposures

โ€ข Evaluate congestion, DA/RT dynamics, and operating uncertainty impacts on exposure

โ€ข Monitor capacity market/auctions and ancillary services exposure

โ€ข Provide clear P&L, liquidity, and operating exposure attribution to management


Forward Curves & Marking

โ€ข Assist with forward curve development and maintenance for power and natural gas, and adjacent commodities and markets

โ€ข Develop and maintain basis curves

โ€ข Build nodal and hourly shape curves and seasonal adjustments, where appropriate

โ€ข Model seasonal and weather-driven price sensitivities, and other fundamental factors

โ€ข Support curve validation and publishing for internal use


Professional

o 2โ€“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