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

Experience in quantitative finance, risk management, or related fields. * Proven track record in developing and implementing risk models and methodologies. * Familiarity with advanced statistical ...

... management decisions in a dynamic and evolving market environment. What you will do * Develop ... Support valuation and risk assessment of long-term LNG contracts, spot transactions, shipping ...

... management decisions in a dynamic and evolving market environment. What you will do * Develop ... Support valuation and risk assessment of long-term LNG contracts, spot transactions, shipping ...

... management decisions in a dynamic and evolving market environment. What you will do * Develop ... Support valuation and risk assessment of long-term LNG contracts, spot transactions, shipping ...

Partner with Commercial, Risk, and Operations teams to optimize asset utilization, manage market ... Strong understanding of physical natural gas markets, derivatives, quantitative risk metrics ...

Showing results 21-40

Quantitative Risk Manager information

See Houston, TX salary details

$49.2K

$106.5K

$162.3K

How much do quantitative risk manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantitative risk manager in Houston, TX is $106,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $123,200.00 per year, depending on experience, location, and employer.

How does a quantitative risk manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

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 abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is a quantitative risk manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

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

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

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

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

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

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

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

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

Infographic showing various Quantitative Risk Manager job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $106,533 per year, or $51.2 per hour.

Modeling Quantitative Analyst, Cross-Asset Trading Analytics

ExxonMobil

Spring, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 229 frontline employees who took The Breakroom Quiz

71st of 86 rated oil and gas companies


Job description

About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we canwork together.
What role you will play in our team
If successful, you will be an integral part of our Global Trading Analytics organization, supporting commercial and trading activities across energy, environmental, and commodity markets. We are seeking a highly motivated quantitative analyst with strong modeling and analytical capabilities to develop and enhance quantitative models, models calibration, analytical frameworks, and decision-support tools that enable trading, risk management, and commercial optimization.
In this role, you will work closely with quants, traders, originators, technologists and risk professionals to help the Global Trading organization and business grow. You will contribute to the development of scalable state-of-the-art quantitative solutions that support commercial decisions in a fast-paced and evolving market environment.
What you will do
  • Develop, implement and maintain quantitative models supporting trading, risk management, valuation, and portfolio optimization across multiple energy commodities (Crude Oil, Natural Gas, Power, LNG, Freight etc ...)
  • Build analytical frameworks to evaluate market fundamentals, price formation, asset relationships, and cross-commodity trading opportunities.
  • Conduct statistical analysis, time-series modeling, scenario analysis, and forecasting to support commercial decision-making.
  • Develop and enhance pricing, volatility, correlation, and risk models used by trading, origination and risk management teams.
  • Partner closely with traders and commercial teams to translate business challenges into quantitative solutions and actionable market insights.
  • Create and maintain analytical tools, dashboards, and model infrastructure to improve trading efficiency and decision support.
  • Analyze market behavior and emerging trends across energy, environmental products, freight, foreign exchange, and related financial markets.
  • Evaluate model performance, conduct back-testing, and implement model enhancements to improve predictive accuracy and commercial value.
  • Collaborate with technology teams to deploy robust, scalable, and production-ready quantitative solutions.
  • Communicate complex analytical findings and model outputs to commercial stakeholders in a clear and concise manner.
  • Contribute to the development of quantitative best practices, analytical methodologies, and model governance standards across the organization.

What you bring
  • Master's, or PhD degree in Applied Mathematics, Statistics, Financial Engineering, Physics, Computer Science, Operations Research or a related quantitative discipline.
  • Strong quantitative and analytical problem-solving skills with the ability to develop practical solutions to complex commercial challenges.
  • Experience developing quantitative models in commodities or other asset classes either in energy companies, hedge funds or banks.
  • Strong understanding of probability, stochastic calculus, statistics, optimization techniques and machine learning methodologies.
  • Experience working with large and complex datasets to generate actionable business insights.
  • Proficiency in Python ideally or other programming languages such as C++, C#, C or Java. Experience with quantitative analytics libraries and data science toolsets.
  • Knowledge of market risk concepts, valuation methodologies, portfolio analytics, and trading performance measurement.
  • Experience with model validation, back-testing, and analytical governance frameworks.
  • Ability to communicate technical concepts effectively to both quantitative and non-quantitative stakeholders.
  • Demonstrated ability to work collaboratively in a fast-paced commercial environment while managing multiple priorities.

Preferred Qualifications
  • Advanced degree in a quantitative field.
  • Experience supporting commodity trading, energy markets, environmental products, or financial trading organizations.
  • Experience with derivative pricing, stochastic calculus, Monte Carlo simulation, PDEs, stochastic optimal control and optimization techniques.
  • Knowledge of power, natural gas, crude oil, refined products, LNG, biofuels, carbon markets, freight, or foreign exchange markets.
  • Experience with cloud-based analytics platforms, distributed computing environments, and modern data architectures.
  • Familiarity with software engineering best practices including version control, testing, and model deployment.

Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
We offer you:
  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life
  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match
  • Workplace Flexibility: We have several programs such as "Flex your Day", providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work
  • Comprehensive medical, dental, and vision plans
  • Culture of Health: Programs and resources to support your wellbeing
  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you
  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you

More information on our Company's benefits can be found at www.exxonmobilfamily.com.
Please note benefits may be changed from time to time without notice, subject to applicable law.
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Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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