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Quantitative Trading Developer Jobs in Houston, TX

The role will partner closely with trading, structuring, origination, middle office, risk ... Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages.

The role will partner closely with trading, structuring, origination, middle office, risk ... Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages.

Within SEM, the Asset Backed Trading (ABT) group is responsible for pricing and managing risks ... Bachelor's degree in which you completed courses in Mathematics, Statistics, Engineering, Economics ...

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Quantitative Trading Developer information

See Houston, TX salary details

$93.6K

$162.1K

$247.8K

How much do quantitative trading developer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for quantitative trading developer in Houston, TX is $162,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $190,000.00 per year, depending on experience, location, and employer.

What is a quantitative trading developer?

A Quantitative Trading Developer is a professional who designs, develops, and implements automated trading strategies using mathematical models, statistical analysis, and programming skills. They work closely with quantitative analysts and traders to transform trading ideas into code that can execute trades in financial markets. These developers typically use programming languages like Python, C++, or Java to build high-performance trading systems that can handle large volumes of market data and execute trades with minimal latency. Their role is crucial in leveraging technology to gain a competitive edge in financial markets.

What are the key skills and qualifications needed to thrive as a quantitative trading developer?

To thrive as a Quantitative Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid background in mathematics or statistics, and typically a degree in computer science, engineering, or a related quantitative field. Familiarity with trading platforms, financial data APIs, version control systems like Git, and experience with low-latency systems or high-frequency trading infrastructure is highly valued. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for building robust and innovative trading solutions. These skills and qualities are vital for developing, testing, and deploying algorithms that perform efficiently and reliably in fast-paced financial markets.

What are some common challenges faced by quantitative trading developers when implementing trading algorithms in a live environment?

Quantitative Trading Developers often face challenges such as managing latency, ensuring data integrity, and handling real-time risk management when deploying algorithms in live markets. Transitioning from a simulation or backtest to a live trading environment can reveal issues like unexpected market conditions, slippage, or connectivity problems that may not have been apparent during development. Collaboration with traders, system engineers, and risk managers is essential to quickly diagnose and resolve production issues, making adaptability and strong communication skills crucial for success in this role.

What is the difference between Quantitative Trading Developer vs Quantitative Analyst?

AspectQuantitative Trading DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, Mathematics; strong analytical skills
Work EnvironmentCollaborates with traders and developers; focuses on building trading systemsAnalyzes market data; develops models for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, proprietary trading firmsInvestment banks, asset management firms, hedge funds

In summary, Quantitative Trading Developers primarily focus on building and maintaining trading systems using programming skills, while Quantitative Analysts concentrate on developing models and analyzing data to inform trading decisions. Both roles are essential in quantitative finance but differ in their core responsibilities and skill sets.

What cities near Houston, TX are hiring for Quantitative Trading Developer jobs?

Cities near Houston, TX with the most Quantitative Trading Developer job openings:

Infographic showing various Quantitative Trading Developer job openings in Houston, TX as of September 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $162,086 per year, or $77.9 per hour.

Graduate Program - Quantitative Analysis

Houston, TX • On-site

Full-time

Posted 11 days ago


Job description

Job Title:
Graduate Program - Quantitative Analysis
Contract Type:
Permanent
Time Type:
Job Description:
Turn data into commercial insight.
At Gunvor, quantitative analysis plays a critical role in helping our commercial teams understand markets, identify opportunities and make informed trading decisions.
Our 18-month Quantitative Analysis Graduate Program is designed for curious, analytical graduates who want to apply mathematics, technology and data to real-world trading challenges while building a long-term career in commodity markets.
You'll join an international environment where quantitative research, analytics and commercial thinking come together to solve complex business problems.
Your Journey
During the Program, you'll complete two 9-month rotations, giving you exposure to different quantitative and commercial functions across the business.
Depending on business needs, rotations may include:
  • Quantitative Analysis
  • Market Risk
  • Research
  • Trading Analytics

You'll be based in Houston, with the opportunity for an international rotation in one of our global offices, including Geneva, Singapore or London.
Alongside your rotations, you'll follow a structured development journey combining technical learning, industry knowledge and professional development to prepare you for a career in quantitative analysis within commodity trading.
What You'll Do
Throughout the Program, you'll:
  • Build and enhance quantitative models that support commercial and trading decisions.
  • Analyse market data to identify trends, relationships and opportunities.
  • Develop forecasting, optimisation and analytical tools.
  • Work closely with quantitative analysts, traders, researchers and Market Risk teams.
  • Apply programming and statistical techniques to solve real business challenges.
  • Present analytical findings and recommendations to stakeholders.
  • Take ownership of meaningful projects from the beginning of your career.

Who We're Looking For
We're looking for analytical thinkers who enjoy solving complex problems and applying quantitative methods to commercial challenges.
You'll ideally have:
  • A Master's or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, Data Science, Quantitative Finance or another highly quantitative discipline.
  • Up to 24 months of professional experience, excluding internships.
  • Strong programming skills, particularly in Python.
  • Experience using modern analytical tools and AI-enabled solutions to enhance research, modelling or decision-making.
  • Excellent analytical, critical thinking and problem-solving skills.
  • Strong communication skills and the ability to explain complex ideas clearly.
  • Curiosity about global commodity markets and quantitative trading.
  • Fluency in English.

Previous internships or professional experience within quantitative finance, banking, commodities, energy trading or research will be considered a strong advantage.
What We Offer
  • A structured 18-month Graduate Program with two rotations.
  • Formal onboarding and a comprehensive learning and development journey.
  • Mentorship from experienced quantitative professionals.
  • Exposure to real commercial challenges and trading decisions.
  • International rotation opportunities across our global offices.
  • A collaborative, entrepreneurial and international working environment.
  • A competitive compensation and benefits package.

Selection Process
Our recruitment process consists of the following stages:
  • Application - Application through our Careers website launches on September 1st and runs through October 2nd 2026.
  • Online Assessment - Complete online assessments, including a HireVue interview, numerical reasoning and a Python assessment.
  • Application Review - Assessment of your academic background, relevant experience and eligibility to work in the hiring location.
  • Interviews - Meet with our Talent Acquisition team and business representatives to discuss your motivation, technical capabilities and potential.
  • Assessment Day - Final-stage candidates will complete interviews and a technical Python assessment with our business teams.

If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.