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Python Quant Jobs in Houston, TX (NOW HIRING)

Pantheon

Palantir Data Architect

Spring, TX

$54 - $69.50/hr

Bachelor s degree in computer science, engineering, quantitative sciences, or mathematics ... Knowledge of distributed computing frameworks (e.g., Spark) and programming languages (e.g., Python ...

Airswift

Data Modeller / Engineer II

Houston, TX · On-site

Undergraduate degree in a STEM or quantitative discipline . * 3-5 years of hands on experience with machine learning models and regression techniques. * Strong Python skills with a solid ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Utilize programming languages such as SQL, Python for data manipulation, analysis and model development SUGGESTED QUALIFICATIONS * Master's degree in a quantitative discipline * Five or more years of ...

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$12

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How much do python quant jobs pay per hour?

As of Jun 8, 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 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 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 the most commonly searched types of Python Quant jobs in Houston, TX? The most popular types of Python Quant jobs in Houston, TX are:
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 May 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.
Energy Storage Real-time Power Trading Analyst - HYBRID REMOTE

Energy Storage Real-time Power Trading Analyst - HYBRID REMOTE

ThinkBAC Consulting

Houston, TX • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

Job Description
Energy Storage Real-time Power Trading Analyst
Locations: HYBRID (Houston, TX area)
This is an opportunity to join an industry leading renewable energy venture with strong private equity backing that is focused on the development, execution, and operations of dynamic utility-scale energy storage projects. They are at the forefront of the industry, have accumulated over 9GW+ nationwide portfolio of projects that include a utility-scale fleet of grid-connected operating standalone battery storage assets
The Real-time Power Trading Analyst will help optimize energy trading performance and forecast revenues for active assets. The right candidate will bring strong initiative, focus, and analytical discipline to the role. Solid experience with SQL and Python REQUIRED. Quantitative or analytical trade desk experience is a HUGE PLUS
They are committed to creating more renewable infrastructure solutions for the grid and are offering industry competitive compensation packages to their employees leading the drive to meet company goals. Other perks included a competitive base salary, open PTO policy, flex work hours, 401K match, solid health benefits, the opportunity to work with a transparent Executive Leadership Team..and more.
RESPONSIBILITIES:
  • Renewables Power Trading Analyst / Energy Trading Analyst - Trading Operations & Strategy Support: Assist in daily trading execution and administrative tasks under the VP of Trading & Risk, including support for market participation, performance KPIs (e.g., MAPE), and alignment of realized vs. expected PnL with Settlement Analysts.
  • Renewables Power Trading Analyst / Energy Trading Analyst - Market Analysis & Forecasting: Work with Market Managers to analyze performance across markets and conditions. Help develop fundamentals-based price forecasts (ERCOT & ISO-NE), incorporating supply/demand, congestion, and fuel pricing data.
  • Renewables Power Trading Analyst / Energy Trading Analyst - Data & Modeling: Gather and analyze market data (via API, web scraping) to inform and optimize BESS trading strategies. Use Python-based models to enhance bidding efficiency and profitability in DA and RT markets.
  • Renewables Power Trading Analyst / Energy Trading Analyst - Process Optimization & Training: Support internal teams by delivering training on trading procedures and ensuring compliance with operational protocols and market rules.
  • Renewables Power Trading Analyst / Energy Trading Analyst - Regulatory Monitoring: Track and assess market rule changes in ERCOT and ISO-NE to evaluate their impact on trading strategies and system performance

QUALIFICATIONS:
  • Education & Experience: Bachelor's degree in a quantitative field (Computer Science preferred) with 2+ years of relevant experience in the energy sector; power settlement experience (especially ERCOT and ISO-NE) is strongly preferred.
  • Technical Skills: Proficient in Microsoft Office Suite (Excel, Outlook, Word, PowerPoint); preferred experience with Python, SQL, and PowerBI. Familiarity with battery energy storage systems (BESS) is a plus.
  • Analytical & Problem-Solving Abilities: Skilled in data analysis, problem definition, and drawing valid conclusions from complex datasets.
  • Communication & Collaboration: Strong written and verbal communication skills, with the ability to simplify technical analysis for both internal stakeholders and external audiences. Proven ability to collaborate across diverse, geographically dispersed teams.
  • Location Requirement: Must be able to commute to the office in North Houston, TX area.

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