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Quantitative Risk Analyst Jobs in Houston, TX (NOW HIRING)

Repsol

Project Risk Control Manager

Houston, TX · Hybrid

Track deviations, near misses, early warnings, and emerging sitebased risks. * undefined Schedule & Quantitative Cost Risk Analysis: * Lead full Monte Carlobased cost and schedule risk analyses using ...

Turing

Remote Quantitative Analyst (Finance)

Houston, TX · On-site +1

$100/hr

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... and risk quantification. * Create rubrics to assess model capabilities on tasks like options ...

Optimus

Middle Office Analyst

Houston, TX · On-site

Deliver daily analysis and explanations of key risk metrics and any limit breaches. * Coordinate ... quantitative discipline. * Strong understanding of risk management methodologies and valuation ...

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All JobsQuantitative Risk Analyst JobsQuantitative Risk Analyst Jobs in Houston, TX

Quantitative Risk Analyst information

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$54K

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How much do quantitative risk analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for quantitative risk analyst in Houston, TX is $127,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $138,900.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

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

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Houston, TX? The most popular types of Quantitative Risk Analyst jobs in Houston, TX are:
What are popular job titles related to Quantitative Risk Analyst jobs in Houston, TX? For Quantitative Risk Analyst jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Houston, TX look for? The top searched job categories for Quantitative Risk Analyst jobs in Houston, TX are:
What cities near Houston, TX are hiring for Quantitative Risk Analyst jobs? Cities near Houston, TX with the most Quantitative Risk Analyst job openings:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in Houston, TX as of June 2026, with employment types broken down into 4% As Needed, 81% Full Time, 7% Part Time, 3% Temporary, 4% Contract, and 1% Nights. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $127,849 per year, or $61.5 per hour.

Quantitative Analyst, Gas & Power Trading

Trafigura Group Pte. Ltd.

Houston, TX • On-site

Full-time

Posted 17 days ago

Job description

Main Purpose:
The North America Quantitative Analysis team at Trafigura provides modeling and pricing support for our North America trading and origination activities, with a primary focus on U.S. power and gas.
We are seeking a highly motivated professional who aspires to excel in one of the leading global commodity trading organizations. Join us to contribute to our continued success in areas requiring quantitative expertise.
Knowledge Skills and Abilities, Key Responsibilities:
Skills and Qualifications:
  • Advanced degree in mathematics, physics, finance, engineering, or computer science.
  • Prior experience supporting trading and origination activities.
  • In-depth knowledge and experience in financial mathematics, including option theory, derivative pricing, and risk analytics.
  • Working experience in building large-scale pricing model libraries in a team environment, utilizing software lifecycle collaboration tools such as GitLab or GitHub.
  • Development experience in object-oriented programming and design patterns.
  • Proficiency in coding with programming languages such as Python, C#, C++, and/or VBA.
  • Working knowledge of database applications, including Amazon Redshift, Oracle, and Snowflake.
  • Familiarity with web-based applications such as Streamlit or DASH.
  • Knowledge and experience with ETRM/CTRM systems like Allegro or Endur.
  • Competency in MS Office applications.
  • Strong verbal and written communication, and good interpersonal skills.
  • Minimum of 3-5 years of experience in similar roles within commodity trading, preferably in U.S. power and gas.

Key Responsibilities
  • Developing and maintaining proprietary valuation library and internal pricing tools.
  • Participating in and contributing to valuation requests for highly structured transactions.
  • Conducting bespoke analyses using historical and forward-looking data.
  • Bringing innovative solutions to ongoing modeling efforts.
  • Managing mission-critical databases.
  • Troubleshooting and enhancing existing data processes and analytics.
  • Documenting modeling approaches and methodologies.

Location
Houston, TX or Denver, CO
Key Relationships and Department Overview:
Reports into the Head of North America Quantitative Analysis, working closely with front office gas and power trading functions for North America.

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