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Quant Engineer Jobs in Houston, TX (NOW HIRING)

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience in quantitative risk, quantitative analytics, structuring, valuation, or model ...

Gunvor

Quantitative Risk Analyst

Houston, TX · On-site

Quantitative Risk Analyst Contract Type: Permanent Time Type: Full time Quantitative Risk Analyst ... Programming experience or advanced knowledge of programming concepts. Experience working in a team ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience in quantitative risk, quantitative analytics, structuring, valuation, or model ...

ExxonMobil

Quantitative Analyst, V&S LNG

Spring, TX · On-site

Collaborate closely with quantitative analysts, technology teams, and data engineers to develop scalable and production-ready analytical solutions. * Create and maintain valuation tools, optimization ...

ExxonMobil

Quantitative Analyst, V&S LNG

Spring, TX

Collaborate closely with quantitative analysts, technology teams, and data engineers to develop scalable and production-ready analytical solutions. * Create and maintain valuation tools, optimization ...

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Showing results 1-20

All JobsQuant Engineer JobsQuant Engineer Jobs in Houston, TX

Quant Engineer information

See Houston, TX salary details

$36.3K

$86.5K

$143.7K

How much do quant engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for quant engineer in Houston, TX is $86,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $95,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Quantitative engineers, or quants, working in finance or hedge funds with extensive experience, advanced degrees, and strong programming skills can earn $500,000 or more annually through base salary, bonuses, and profit sharing. Such compensation typically requires expertise in mathematics, programming languages like Python or C++, and a deep understanding of financial markets. These roles are often located in major financial hubs and demand high levels of performance and specialization.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, firm size, and performance, with many quants also receiving performance-based bonuses and benefits. Strong skills in mathematics, programming, and finance are essential for higher salaries in this field.

What engineers make $300,000 a year?

Senior quantitative engineers, often called quant researchers or quant developers, can earn $300,000 or more annually, especially with experience, advanced degrees, and expertise in programming languages like Python or C++, as well as knowledge of financial markets and risk management. Compensation typically includes base salary, bonuses, and profit sharing, particularly in hedge funds, investment banks, and proprietary trading firms.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What are Quant Engineers?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

Do I need a PhD to be a quant?

A PhD is not strictly required to become a quantitative engineer, but many roles prefer candidates with advanced degrees in fields like mathematics, physics, or engineering. Strong programming skills, proficiency in tools like Python or C++, and solid quantitative knowledge are essential for success in the field.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do Quant Engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.
What are popular job titles related to Quant Engineer jobs in Houston, TX? For Quant Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Houston, TX look for? The top searched job categories for Quant Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Quant Engineer jobs? Cities near Houston, TX with the most Quant Engineer job openings:
Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in Houston, TX as of July 2026, with employment types broken down into 4% Internship, 76% Full Time, 7% Part Time, and 13% Contract. Highlights an 89% In-person, 5% Hybrid, and 6% Remote job distribution, with an average salary of $86,462 per year, or $41.6 per hour.

Risk Strategist/Quant Developer

Beth Page tech

Houston, TX • On-site

Contractor

Posted 2 days ago

Job description

Job Title: Risk Strategist/Quant Developer


Location: Houston, TX (Fulltime)
Environment: Standard, 5-days onsite
 

 Job Description :

Must-Have (Technical Expertise & Core Responsibilities)

  • Programming:
    • 3+ years developing enterprise-level solutions in C++
    • Working knowledge of Python
    • Experience developing robust, maintainable, and extensible code
  • Domain Knowledge:
    • Understanding of risk concepts in trading environments
    • Familiarity with trading desk technologies and workflows

Core Responsibilities:

  • Serve as Houston ambassador for the new Risk & PnL engine rollout
  • Collaborate with London team on development for Americas business needs
  • Develop reports, tools, and functionalities using the Risk & PnL engine components
  • Translate business needs into technical solutions for the CTRM system
  • Travel regularly to London for team collaboration (estimated 20-30%)

Qualifications & Skills:

  • Bachelor's/Master's degree in technical field (Computer Science, Engineering, etc.)
  • Excellent communication skills (full English proficiency)
  • Strong ownership mentality with ability to work independently
  • Problem-solving skills for ambiguous technical/business challenges

Nice-to-Have (Preferred Experience):

  • Knowledge of derivative risk concepts (option pricing, Greek risk measures)
  • Experience in energy markets/commodities trading
  • UI development experience (React)