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Python Quant Jobs in Houston, TX (NOW HIRING)

iShare Inc

SENIOR MODELING LEAD

Houston, TX · On-site

Hands on experience in Model Development, Model Monitoring of advanced ML/quantitative/finance models * Strong proficiency in Python; familiarity with modern AI/ML frameworks, ML-Ops, and large-scale ...

Invesco

Senior Engineer-1

Houston, TX · Hybrid

$99K - $137K/yr

This role will partner closely with quantitative research teams, model owners, and downstream ... Implementing scalable Python services, microservices, and automation tools supporting the endtoend ...

iShare, Inc.

SENIOR MODELING LEAD

Houston, TX · On-site

$145K - $165K/yr

Hands on experience in Model Development, Model Monitoring of advanced ML/quantitative/finance models * Strong proficiency in Python; familiarity with modern AI/ML frameworks, ML-Ops, and large-scale ...

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All JobsPython Quant JobsPython Quant Jobs in Houston, TX

Python Quant information

See Houston, TX salary details

$12

$55

$82

How much do python quant jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for python quant in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What are the 33 words in Python?

In the context of a Python quant role, the 33 words typically refer to the reserved keywords in Python, which are fundamental for writing syntax and control structures. Python has 33 keywords such as 'False', 'None', 'True', 'and', 'as', 'assert', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'nonlocal', 'not', 'or', 'pass', 'raise', 'return', 'try', 'while', 'with', 'yield'. These keywords are essential for developing quantitative trading algorithms and data analysis scripts in Python.

What are some typical challenges faced by Python Quants in the financial industry?

Python Quants often face challenges related to sourcing, cleaning, and managing large sets of complex financial data, as well as ensuring their models remain robust under rapidly-changing market conditions. Navigating tight deadlines while maintaining code quality and accuracy is a common aspect of the job. Additionally, the need to explain complex quantitative concepts to non-technical stakeholders, such as portfolio managers or traders, requires strong communication skills. Overcoming these challenges helps Python Quants deliver real, actionable insights and contribute effectively to investment strategies.

What are the key skills and qualifications needed to thrive in the Python Quant position, and why are they important?

To thrive as a Python Quant, you need strong quantitative skills, proficiency in Python programming, and a solid foundation in mathematics, statistics, or financial engineering, typically supported by an advanced degree. Familiarity with scientific computing libraries (e.g., NumPy, pandas, SciPy), version control systems like Git, and experience with financial data platforms are essential. Analytical thinking, attention to detail, and effective communication enable collaboration with traders and researchers. These skills and tools are crucial for developing, testing, and implementing robust quantitative models in dynamic financial environments.

What's harder, C++ or Python?

For a Python Quant, C++ is generally considered more difficult due to its complexity, lower-level memory management, and steeper learning curve. Python is easier to learn and use for rapid development and data analysis, but C++ offers higher performance and control, often used in latency-sensitive trading systems. Mastering both can be beneficial in quantitative finance roles.

What exactly is Python used for?

Python is a programming language commonly used by Python Quants for data analysis, algorithm development, and automation in finance. It offers libraries like NumPy, pandas, and scikit-learn that facilitate quantitative modeling and machine learning tasks. Proficiency in Python is essential for building and testing trading strategies and managing large datasets.

Is Python difficult to learn?

Python is considered one of the easier programming languages to learn due to its simple syntax and readability, making it popular among quantitative analysts and data scientists. For a Python Quant, understanding core programming concepts and practicing with real-world financial data can help accelerate learning. Consistent study and use of resources like online tutorials and coding environments are beneficial.

What is a Python Quant job?

A Python Quant (Quantitative Analyst) job involves using Python to analyze financial data, develop trading algorithms, and build risk models. Python Quants work in hedge funds, investment banks, or proprietary trading firms, leveraging data science, machine learning, and statistical techniques. They write and optimize code for backtesting strategies, automating trades, and processing large datasets. Strong programming, mathematical, and financial knowledge are essential for success in this role.

What are popular job titles related to Python Quant jobs in Houston, TX? For Python Quant jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Python Quant jobs in Houston, TX look for? The top searched job categories for Python Quant jobs in Houston, TX are:
Python Quant jobs near you
Infographic showing various Python Quant job openings in Houston, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

Full stack Developer

Ruri Software Technologies LLC

Spring, TX • On-site

Other

Posted 10 days ago

Key responsibilities

  • Design, develop, and maintain scalable web applications.

  • Collaborate with quantitative analysts to deliver data products and models.

  • Build and optimize front-end interfaces and back-end services.

Job description

Full Stack Developer
Spring, TX, 
 
Only W2 position
 
Onsite required
 
No C2C
 
Job Description
Full Stack Developer – Global Trading
We are seeking a Full Stack Developer to join the Global Trading team, supporting the Quantitative Analytics group. In this role, you will build and enhance data-driven applications, models, and visualizations that power trading operations.
What You’ll Do
Design, develop, and maintain scalable web applications
Collaborate with quantitative analysts to deliver data products and models
Build and optimize front-end interfaces and back-end services
Ensure code quality, performance, and system reliability
Contribute to data pipelines, databases, and cloud-based solutions
What You Bring
Strong communication and collaboration skills
Ability to work in fast-paced environments with shifting priorities
Analytical mindset with a focus on innovation and problem-solving
Adaptability and eagerness to learn new technologies
Core Technical Skills
Front End: HTML, CSS, JavaScript (React or Angular)
Back End: Node.js, Python, or similar
Databases: SQL, PostgreSQL, MongoDB
Cloud: AWS, Azure, or Google Cloud
Experience developing modern, high-performance web applications
Preferred Experience
3+ years of software development experience
Strong SQL skills and experience with data modeling & optimization
Experience building and supporting data pipelines and databases
Exposure to Databricks, Snowflake
Knowledge of web performance, security, and best practices
Oil & gas trading or financial markets experience (nice to have)
Bachelor’s degree in Computer Science, Engineering, or related field
Top Skills for Success
Full stack development (React/Angular + Node.js/Python)
Building scalable web applications
Database and data pipeline expertise

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