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Quantitative Analyst Jobs in Texas (NOW HIRING)

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Quantitative Risk Manager

Spring, TX · On-site

Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ... Strengthen the quantitative underpinnings of the firm's market risk framework, including model ...

Expand Energy

Quantitative Risk Manager

Spring, TX

Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ... Strengthen the quantitative underpinnings of the firm's market risk framework, including model ...

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Quantitative Analyst information

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$52.6K

$124.7K

$223.6K

How much do quantitative analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for quantitative analyst in Texas is $124,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

What are the key skills and qualifications needed to thrive as a quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.
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Quantitative Analyst jobs near you
Infographic showing various Quantitative Analyst job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $124,727 per year, or $60 per hour.

Valuation and Structuring Quant Analyst, LNG

ExxonMobil

Spring, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 231 frontline employees who took The Breakroom Quiz

71st of 87 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 LNG trading, portfolio optimization, and structured commercial activities across global gas markets. We are seeking a highly motivated quantitative analyst with strong valuation, structuring, and modeling capabilities to develop and enhance analytical frameworks, pricing models, optimization tools, and decision-support solutions that enable commercial decision-making across LNG and related gas value chains.
In this role, you will serve as a front-office quantitative partner to LNG traders, originators, and structurers, providing transparent, independent, and commercially actionable valuation expertise. You will evaluate and price embedded optionality within LNG supply and offtake agreements, shipping portfolios, regasification capacity, gas sourcing strategies, and complex structured transactions while supporting real-time commercial decisions. Success in this position requires the ability to translate sophisticated quantitative analysis into actionable insights that drive trading, optimization, hedging, and portfolio management decisions in a dynamic and evolving market environment.
What you will do
  • Develop, implement, and maintain quantitative valuation and optimization models supporting LNG trading, portfolio management, structured transactions, and commercial decision-making.
  • Partner directly with LNG traders, originators, and structuring teams to provide real-time valuation, optionality analysis, and quantitative support for commercial opportunities.
  • Evaluate and price embedded optionality across LNG supply and offtake agreements, destination flexibility, cargo diversion rights, volume tolerances, storage agreements, shipping portfolios, and regasification capacity.
  • Support traders and originators in structuring commercial transactions, including development of pricing methodologies, exposure analysis, valuation approaches, sensitivities, and commercial recommendations.
  • Build analytical frameworks to assess LNG portfolio optimization opportunities across global gas markets, including sourcing, transportation, storage, shipping, and market placement decisions.
  • Develop and enhance pricing, valuation, and optimization models utilizing stochastic methods, scenario analysis, Monte Carlo simulation, and optimization techniques.
  • Analyze market relationships across LNG, natural gas, shipping, storage, and related commodity markets to identify drivers of value, portfolio optimization opportunities, and commercial risks.
  • Support valuation and risk assessment of long-term LNG contracts, spot transactions, shipping agreements, tolling arrangements, regasification agreements, and other structured commercial opportunities.
  • Advise traders and originators on hedging strategies and risk mitigation approaches by identifying hedgeable and residual exposures across LNG and related gas markets.
  • Provide independent valuation and quantitative challenge to proposed transactions, ensuring robust commercial decision-making and transparent risk assessment.
  • Conduct back-testing, model validation, parameter calibration, and assumption analysis to improve model accuracy, robustness, and commercial relevance.
  • Collaborate closely with quantitative analysts, technology teams, and data engineers to develop scalable and production-ready analytical solutions.
  • Create and maintain valuation tools, optimization frameworks, dashboards, and model infrastructure that improve transparency, efficiency, and front-office decision support.
  • Participate in commercial discussions with traders, originators, and senior stakeholders, clearly communicating valuation methodologies, optionality drivers, sensitivities, and portfolio impacts.
  • Contribute to the development of quantitative best practices, valuation methodologies, and model governance standards across the organization.

What you bring
  • Master's or PhD degree in Applied Mathematics, Statistics, Financial Engineering, Operations Research, Economics, Physics, Engineering, Computer Science, or a related quantitative discipline.
  • Demonstrated front-office quantitative experience supporting commodity traders, originators, or structuring teams within LNG, natural gas, power, commodity trading, or energy trading organizations.
  • Experience working directly with traders and commercial decision-makers to evaluate transactions, develop pricing approaches, assess risk exposures, and identify value creation opportunities.
  • Strong quantitative and analytical problem-solving skills with the ability to translate complex modeling outputs into commercially actionable recommendations.
  • Experience developing valuation, optimization, or quantitative models supporting LNG, natural gas, power, shipping, commodity trading, or related energy markets.
  • Strong understanding of option pricing theory, stochastic modeling, optimization techniques, simulation methodologies, and risk analytics.
  • Experience evaluating and pricing commercial optionality including volume flexibility, destination flexibility, storage optionality, transportation optionality, shipping optionality, and structured commodity transactions.
  • Proficiency in Python and experience with quantitative analytics libraries, optimization frameworks, and data science toolsets.
  • Experience working with large and complex datasets to generate actionable business insights and commercial recommendations.
  • Knowledge of market risk concepts, valuation methodologies, portfolio analytics, and trading performance measurement.
  • Experience with model validation, back-testing, calibration, and analytical governance frameworks.
  • Understanding of global LNG markets, natural gas pricing hubs, shipping economics, transportation constraints, and portfolio optimization principles.
  • Proven ability to communicate effectively with traders and commercial stakeholders in a fast-paced front-office environment.
  • Demonstrated ability to work collaboratively while managing multiple priorities and delivering high-quality analytical support under tight commercial timelines.

Preferred Qualifications
  • Advanced degree in a quantitative field.
  • Significant experience partnering directly with traders and originators on transaction evaluation, deal structuring, portfolio optimization, and commercial strategy development.
  • Experience supporting LNG trading desks, LNG portfolio management teams, gas trading organizations, commodity trading houses, investment banks, or energy merchants.
  • Experience valuing LNG supply agreements, LNG offtake contracts, shipping portfolios, regasification capacity, storage assets, transportation agreements, and structured LNG transactions.
  • Knowledge of global LNG markets, including Atlantic and Pacific Basin trade flows, LNG pricing mechanisms, shipping dynamics, destination flexibility, and portfolio optimization strategies.
  • Experience with derivative pricing, Monte Carlo simulation, stochastic processes, optimization techniques, and advanced quantitative methods.
  • Familiarity with LNG contract structures, diversion economics, volume management provisions, and commercial optimization opportunities.
  • Experience with cloud-based analytics platforms, distributed computing environments, and modern data architectures.
  • Familiarity with software engineering best practices including version control, testing, documentation, and model deployment.
  • Experience supporting front-office trading and origination organizations where rapid commercial decision-making and direct trader engagement are critical to success.

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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