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Python Quant Jobs in Houston, TX (NOW HIRING)

ExxonMobil

Quant V&S Gas and Power

Spring, TX · On-site

Collaborate with quant modelling/technology/data teams to ensure robust model deployment ... Advanced Python for pricing tools, optimization routines and scalable analytics. * Ability to ...

Quanta Search

Senior Software Engineer (Python)

Houston, TX · On-site

$117K - $154K/yr

As a Senior Research Software Engineer based in Houston, TX you'll support quantitative and ... In Python-oriented environment, you'll refine processes and deliver scalable solutions. Role ...

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

This role requires a unique combination of deep Python expertise, mastery of modern data processing ... Quantitative Analysis & Optimization * Collaborate with reservoir and operations teams to translate ...

SaltHill Group

Commodity Quantitative Strategist

Houston, TX · On-site

$116K - $149K/yr

The Quantitative Strategist works directly with the originators, traders, quants, and customers to ... Experience in Python and an object-oriented language (C#, C++, Java, or similar) required. * Good ...

Expand Energy

Market Risk Manager

Spring, TX

Advanced Python skills for quantitative analytics, risk engines, data pipelines, and automated reporting; familiarity with pandas, NumPy, SciPy, and production-quality coding practices is expected

Expand Energy

Market Risk Manager

Spring, TX · On-site

Advanced Python skills for quantitative analytics, risk engines, data pipelines, and automated reporting; familiarity with pandas, NumPy, SciPy, and production-quality coding practices is expected

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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.
Quant V&S Gas and Power

Quant V&S Gas and Power

ExxonMobil

Spring, TX • On-site

Part-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday

Key responsibilities

  • Provide fair valuation and independent risk assessment for gas storage, swing options, pipeline capacity rights, load following structures and power asset linked deals.

  • Support traders and originators with structure design, including exercise rules, dispatch/flow logic, strike/index formulas, exposure mapping, sensitivities and commercial explanation of optionality value drivers.

  • Build valuation templates and analytics tools capable of modelling storage injection/withdrawal optimization, swing flexibility, dispatch optionality and capacity arbitrage, using stochastic, scenario based and optimization techniques.

ExxonMobil rating

6.1

Company rating: 6.1 out of 10

Based on 221 frontline employees who took The Breakroom Quiz

53rd of 74 rated oil and gas companies

Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. 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 can work together.

What role you will play in our team

Join a high performing Front Office Valuation and Structuring quant team supporting Gas and Power trading, asset optimization and structured transactions. You will provide transparent, independent and commercially actionable valuation expertise, with a strong focus on identifying, modelling and pricing embedded physical and financial optionality across storages, swing contracts, transportation/pipeline capacity and power generation assets.

Your work will support traders, originators and senior stakeholders in evaluating structured supply/offtake agreements, capacity deals, dispatch linked structures and cross commodity strategies, while contributing to global corporate initiatives requiring rigorous valuation, optionality analysis and risk translation beyond the core Trading organization.

What you will do
  • Provide fair valuation and independent risk assessment for gas storage, swing options, pipeline capacity rights, load following structures and power asset linked deals, quantifying operational, volume, flexibility and market optionality.
  • Support traders and originators with structure design, including exercise rules, dispatch/flow logic, strike/index formulas, exposure mapping, sensitivities and commercial explanation of optionality value drivers.
  • Build valuation templates and analytics tools capable of modelling storage injection/withdrawal optimization, swing flexibility, dispatch optionality and capacity arbitrage, using stochastic, scenario based and optimization techniques.
  • Contribute optionality and valuation insight to large global corporate projects, such as long term gas supply frameworks, optimization of cross border capacity, and power asset commercialization initiatives.
  • Advise on hedging strategies for complex exposures across gas hubs (NBP, TTF, Henry Hub), power markets, capacity rights and cross commodity structures, identifying hedgeable and residual components.
  • Conduct back testing, assumption validation and parameter research, including calibration of illiquid curves, volatility structures, correlation frameworks and dispatch driven price dynamics.
  • Collaborate with quant modelling/technology/data teams to ensure robust model deployment, integration into FO tools, and support for asset optimization workflows. 
What you bring
  • Strong quantitative background (MSc/PhD preferred) with Front Office Gas & Power valuation/structuring or optimization experience. 
  • Expertise in storage modelling, swing option valuation, pipeline/transport optionality, and power asset/dispatch optionality, alongside strong option pricing and curve/vol modelling skills.
  • Advanced Python for pricing tools, optimization routines and scalable analytics.
  • Ability to communicate complex optimization and valuation logic clearly to traders and commercial teams.
  • Experience calibrating illiquid parameters and running back tests for storage/swing/power optionality frameworks.
  • Understanding of gas hubs, power markets, capacity auctions, congestion patterns, spark/dark spreads, and operational constraints across pipes and generation assets.
  • High attention to detail, strong documentation discipline and a proactive improvement mindset
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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