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Quantitative Risk Management Jobs in Texas (NOW HIRING)

WSP

Project Manager- Power & Energy

Dallas, TX · Remote

Deep understanding of project and program risk management methodologies, tools, and lifecycle application. Advanced proficiency with quantitative risk modeling techniques, including Monte Carlo ...

Scotiabank

Manager, Risk Management Audit

Dallas, TX · On-site

Global Banking & Markets provides a full range of investment banking, credit and risk management ... quantitative processes in line with internal and regulatory standards. Ability to quickly ...

Repsol

Project Risk Control Manager

Houston, TX · Hybrid

Design, implement, and govern the Project Risk Management Framework across the portfolio. * Develop ... Train PMs, engineers, and project controls staff on qualitative and quantitative risk methodologies.

Scotiabank

Manager, Risk Management Audit

Dallas, TX · On-site

Exposure in working with risk management personnel would be an asset. • Strong ability to assess design, assumptions, data integrity, and governance of complex quantitative processes in line with ...

WSP

Project Manager- Power & Energy

Dallas, TX · On-site

... risk management methodologies, tools, and lifecycle application. • Advanced proficiency with quantitative risk modeling techniques, including Monte Carlo simulations. • Experience supporting ...

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All JobsQuantitative Risk Management JobsQuantitative Risk Management Jobs in Texas

Quantitative Risk Management information

See Texas salary details

$48K

$103.9K

$158.4K

How much do quantitative risk management jobs pay per year?

As of Jul 22, 2026, the average yearly pay for quantitative risk management in Texas is $103,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $120,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantitative Risk Manager, you need strong analytical skills, expertise in statistics or mathematics, and typically a degree in finance, economics, or a quantitative discipline. Familiarity with risk modeling software, programming languages like Python or R, and industry certifications such as FRM or CFA is often required. Outstanding problem-solving abilities, attention to detail, and effective communication set top professionals apart in this role. These skills are crucial for accurately assessing financial risks, making informed decisions, and communicating complex findings to stakeholders.

What is quantitative risk management?

Quantitative risk management is the process of using mathematical models, statistical techniques, and data analysis to identify, measure, and manage financial risks within an organization. Professionals in this field apply quantitative methods to assess potential losses from market movements, credit events, or operational failures, and help organizations make informed decisions to mitigate these risks. This approach is widely used in banking, insurance, asset management, and other financial sectors to ensure regulatory compliance and optimize risk-adjusted returns.

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

AspectQuantitative Risk ManagementQuantitative Analyst
Primary FocusAssessing and managing financial risksDeveloping models for investment strategies
CertificationsFRM, PRMCFA, CQF
Work EnvironmentFinancial institutions, risk departmentsInvestment banks, asset management firms
Key SkillsRisk modeling, regulatory knowledgeStatistical analysis, programming

Quantitative Risk Management focuses on identifying and mitigating financial risks within organizations, often requiring risk-specific certifications like FRM. In contrast, Quantitative Analysts develop models to support trading and investment decisions, emphasizing statistical and programming skills. Both roles are vital in finance but serve different strategic purposes.

How does a Quantitative Risk Management professional typically collaborate with other departments within a financial institution?

Quantitative Risk Management professionals frequently work closely with departments such as trading, finance, and compliance. They provide analytical support by developing risk models and stress-testing scenarios, ensuring that trading strategies and investment decisions align with the institution's risk appetite. Regular communication with IT teams is also common, as these professionals often need to implement or improve risk measurement tools and data systems. This cross-functional collaboration is essential for maintaining a robust risk management framework and responding effectively to emerging risks.
What are popular job titles related to Quantitative Risk Management jobs in Texas? For Quantitative Risk Management jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Management jobs in Texas look for? The top searched job categories for Quantitative Risk Management jobs in Texas are:
Quantitative Risk Management jobs near you
Infographic showing various Quantitative Risk Management job openings in Texas as of July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution, with an average salary of $103,932 per year, or $50 per hour.
Commodity Risk Management Lead

Commodity Risk Management Lead

Atlas Oil Company

Houston, TX • On-site

Full-time

Posted 20 days ago

Job description

Commodity Risk Management Lead
Company Overview: We are a dynamic commodity trading firm specializing in gasoline, crude oil, ultra-low sulfur diesel (ULSD), and natural gas liquids (NGLs). Our operations span across physical and financial trading, logistics, and risk management. We leverage sophisticated technologies and trading platforms to maximize market opportunities and manage commodity risks effectively.
Position Overview: We seek a seasoned Risk Management Lead to support our Middle Office functions, driving excellence in risk oversight and management. This role requires deep experience in commodity trading risk management, particularly with gasoline, crude oil, ULSD, and NGLs. Critical to this role is the ability to code using Python as well as quantify, analyze, and report trading positions using Value at Risk (VaR) methodologies and proficiency with Right Angle Energy Trading and Risk Management (ETRM) systems.
Key Responsibilities:
  • Help oversee middle office operations, ensuring accurate and timely risk monitoring, reporting, and controls.
  • Analyze daily position exposure and monitor trading activities to ensure compliance with company risk policies and limits.
  • Calculate and manage Value at Risk (VaR) and other relevant risk metrics using Python, providing comprehensive reporting to senior management.
  • Develop and implement robust risk management frameworks and enhance existing policies, procedures, and controls.
  • Collaborate closely with Front Office traders, Back Office, and senior management to ensure effective communication and risk awareness.
  • Maintain and enhance Right Angle ETRM system processes, ensuring data integrity, accurate trade capture, risk analytics, and settlement integration.
  • Prepare comprehensive and clear risk reporting packages for stakeholders, including scenario analyses and stress testing.
  • Provide strategic insights and recommendations to mitigate identified risks and enhance trading risk-reward profiles.
  • Coordinate audits and regulatory inquiries related to trading and risk management.

Qualifications:
  • Bachelor's degree in Finance, Economics, Engineering, or a related quantitative discipline; advanced degree (MBA or relevant Master's) is a plus.
  • Minimum of 3+ years' experience in commodity risk management or trading, specifically with exposure to gasoline, crude oil, ULSD, and NGL markets.
  • Proven experience leading middle office teams within commodity trading environments.
  • Deep expertise in calculating, interpreting, and reporting VaR and related risk metrics.
  • Extensive hands-on experience with Right Angle ETRM system; proficiency in system configurations and analytics.
  • Strong analytical, problem-solving, and decision-making skills.
  • Exceptional communication and leadership capabilities, fostering collaboration across various functions.

Preferred Attributes:
  • Certification in risk management or financial analysis (e.g., FRM, CFA).
  • Demonstrated experience managing complex trading portfolios in dynamic market conditions.
  • Proven ability to innovate risk processes and improve system functionality.

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