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Model Risk Analyst Jobs in Texas (NOW HIRING)

If so, being a Model Validation Analyst II with Frost could be for you. At Frost, it's about more ... You will provide recommendations on how to adjust model risk. By turning data into insights, you ...

If so, being a Model Validation Analyst II with Frost could be for you. At Frost, it's about more ... You will provide recommendations on how to adjust model risk. By turning data into insights, you ...

Strong experience with Python for data analysis and modeling * Working knowledge of credit risk concepts: scorecards, vintage analysis, delinquency curves, loss forecasting * Ability to communicate ...

... Model Risk Management (MRM), Legal, and Compliance teams to ensure adherence to governance and ... Strong analytical and statistical skills with experience evaluating predictive model performance ...

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Model Risk Analyst information

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$14

$37

$61

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.

Middle Office Market Risk Analyst (1935)

Houston, TX โ€ข On-site

Full-time

Re-posted 7 days ago


Job description

JOB DESCRIPTION SUMMARY

The Middle Office Market Risk Analyst primary role is to support trading by monitoring daily trading activity and produce daily reports and alerts to management. Assume a pivotal role in assessing and managing market risks within trading environments. You will provide market risk analysis for global and regional trading activities. Responsibilities encompass conducting daily price exposure, reporting mark-to-market and P&L, analyzing exposure limits, and evaluating value at risk (VaR) to fortify risk management strategies. 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 and risk reports; working alongside with traders, operators and IT to manage market risk.
  • Ensure daily data integrity, validate positions and reconcile data inconsistences with traders.
  • Monitor and report daily price exposure, mark-to-market and P&L to management for designated book
  • Coordinate with the risk management team to ensure alignment with regulatory mandates and internal protocols.
  • Contribute to the development and upkeep of risk management models and tools tailored for market risk evaluation.
  • Collaborate on ad-hoc projects and tasks under the direction of senior analysts, fostering continuous improvement in market risk management practices.
  • Monitor market trends and analyze data to detect potential risks within trading settings.
  • Explore innovative approaches to analyze market data, identify emerging risks, and enhance risk management strategies.
  • Engage in discussions to furnish insights into market risk factors and their potential effects on trading operations.
  • Support the implementation of risk mitigation strategies to curtail potential losses.
  • Contribute to the development and enhancement of market risk models, including VaR models, stress testing frameworks, and scenario analysis tools.
  • Collaborate with quantitative analysts to refine model assumptions, validate model outputs, and ensure accuracy in risk measurement.
  • Apply advanced statistical techniques and machine learning algorithms to improve the accuracy and predictive power of market risk models.
  • Execute stress testing and scrutinize exposure limits under senior guidance for accurate risk assessment.
  • Assist in crafting reports detailing market risk metrics like VaR and scenario analysis.

COMMUNICATION

Internal Communication

  • Collaborate with traders, operators and IT to produce accurate daily risk reports.
  • Actively participate in team discussions to analyze risk assessment findings and propose effective mitigation strategies.
  • Provide regular updates to the direct manager, ensuring clear communication on ongoing risk analysis initiatives and emerging concerns.

External Communication

  • Collaborate with market data providers to gather relevant information essential for risk analysis and decision-making.
  • Interface with external auditors or regulatory bodies as needed to facilitate discussions on market risk assessment and compliance matters.

JOB REQUIREMENTS

Education and Skills (Required, Preferred)

  • Bachelor's degree in finance, economics, mathematics, engineering or a related field.
  • Proficiency in Microsoft Excel and other relevant analytical tools.
  • Strong numerical and analytical skills.
  • Excellent written and verbal communication skills.
  • Excellent problem-solving skills and the ability to think critically under pressure.

Preferred

  • Proficiency in advanced analytical tools such as Python, R, or MATLAB.
  • Strong understanding of financial derivatives and their application in risk management.

Experience and Knowledge (Required, Preferred)

  • Minimum 5 years of experience in a related field.
  • Ability to work with financial data and perform quantitative analysis.
  • Familiarity with risk management concepts and methodologies.
  • Basic understanding of financial markets and trading strategies.

Preferred

  • Experience in quantitative finance, risk management, or related fields.
  • Proven track record in developing and implementing risk models and methodologies.
  • Familiarity with advanced statistical techniques and machine learning algorithms for risk analysis.

Abilities and Specific Requirements (Required, Preferred)

  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong problem-solving skills and critical thinking ability.
  • Capacity to prioritize tasks and manage time effectively.
  • Adherence to strict confidentiality and ethical standards in handling sensitive financial information.

Preferred

  • Demonstrated ability to adapt to evolving market conditions and regulatory requirements.
  •  Strong interpersonal skills for effective collaboration with colleagues and stakeholders.

NO THIRD-PARTY CANDIDATES ACCEPTED

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