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Remote Python Trading Jobs in Houston, TX (NOW HIRING)

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Remote Python Trading information

See Houston, TX salary details

$12

$55

$82

How much do remote python trading jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for remote python trading 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 is a Remote Python Trading job?

A Remote Python Trading job involves developing, maintaining, and optimizing trading algorithms or systems using the Python programming language, all while working remotely. Professionals in this role typically work for financial institutions, hedge funds, or fintech companies, analyzing market data, building automated trading strategies, and ensuring their code runs efficiently and securely. Strong programming skills in Python, knowledge of financial markets, and experience with trading platforms or APIs are essential. The remote nature of the job allows professionals to work from anywhere with a reliable internet connection.

What is the difference between Remote Python Trading vs Remote Quantitative Analyst?

AspectRemote Python TradingRemote Quantitative Analyst
Required CredentialsPython programming, finance knowledge, data analysis skillsMathematics, statistics, programming, finance or economics degree
Work EnvironmentFinancial firms, hedge funds, trading companiesFinancial institutions, investment firms, research organizations
Industry UsageHigh in trading and algorithm developmentHigh in risk modeling and quantitative research
Common Search/ComparisonYesYes

Remote Python Trading focuses on developing trading algorithms using Python, primarily in trading firms. Remote Quantitative Analysts work on financial modeling and risk analysis, often requiring similar skills but with a broader focus on quantitative research. Both roles involve programming and finance, but their core responsibilities differ in application and industry emphasis.

What are the key skills and qualifications needed to thrive as a Remote Python Trading professional, and why are they important?

To thrive as a Remote Python Trading professional, you need strong proficiency in Python programming, quantitative analysis, and a solid understanding of financial markets, often supported by a relevant degree in finance, mathematics, or computer science. Experience with trading platforms, APIs, backtesting frameworks, and familiarity with libraries like pandas, NumPy, and scikit-learn are typically required. Analytical thinking, problem-solving, and effective remote communication are essential soft skills for success in this role. These skills enable the development of robust trading algorithms, effective risk management, and seamless collaboration in a distributed work environment.

What are some common challenges faced by remote Python trading developers, and how can they be addressed?

Remote Python trading developers often encounter challenges such as managing effective communication with distributed teams, ensuring code reliability in automated trading systems, and keeping up with rapidly evolving market requirements. To address these, it’s important to establish clear communication channels (such as daily stand-ups or regular check-ins), write well-documented and thoroughly tested code, and stay updated on current trading technologies and market regulations. Additionally, leveraging collaborative tools like version control systems and implementing robust monitoring for trading algorithms helps ensure both team alignment and system stability.
What are popular job titles related to Remote Python Trading jobs in Houston, TX? For Remote Python Trading jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python Trading jobs in Houston, TX look for? The top searched job categories for Remote Python Trading jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Python Trading jobs? Cities near Houston, TX with the most Remote Python Trading job openings:

Sr/Lead/Principal Fundamentals Analyst

EQT Corporation

Houston, TX • On-site, Remote

Other

Re-posted 28 days ago


Job description

As a Fundamentals Analyst/Senior/Lead or Principal (title commensurate with experience), you will be responsible for developing and managing detailed international natural gas supply and demand models, delivering insights to support trading, commodities strategy, and executive decision-making. This is a high-impact role requiring strong analytical capabilities, market expertise, and the ability to collaborate across trading, commodity, and research functions.

The Fundamentals Analyst responsibilities include but are not limited to:

Global Market Modeling: Build and maintain detailed international supply-demand models for LNG and pipeline gas flows, including liquefaction/export, regasification/import, vessel tracking, storage, industrial/power/residential demand, and interregional flows.

Data-Driven Insights: Leverage global datasets (e.g., Kpler, IEA, customs data, price indices, shipping and weather models) to identify trends, bottlenecks, arbitrage opportunities, and disruptions across key markets (Asia, Europe, Latin America).

Scenario Planning: Develop multi-scenario global outlooks (e.g., geopolitical events, policy changes, weather shocks, trade flows, sanctions) to forecast market behavior.

Real-Time Market Monitoring: Track global forward and spot indicators - LNG vessel movements, pricing differentials, storage levels, policy updates - to flag directional shifts and risks.

Strategic Collaboration: Partner closely with trading, origination, strategy, and analytics teams to align views and provide actionable insights.

Thought Leadership: Represent EQT in external discussions, conferences, and industry forums focused on global gas and LNG trends.

Required Experience and Skills:

  • 5+ years of experience in global energy or commodity markets, with a focus on natural gas/LNG fundamentals.
  • Bachelor's degree in economics, engineering, energy systems, finance, or related field. Advanced degree is a plus.
  • Deep understanding of global gas pricing mechanisms (TTF, JKM, Henry Hub, etc.), shipping logistics, and interregional trade dynamics.
  • Strong modeling skills in Excel; familiarity with tools like Python, SQL, Power BI, or equivalent a plus.
  • Excellent analytical and communication skills - able to synthesize complex data and convey insights clearly to technical and non-technical audiences.
  • Proven ability to manage multiple priorities in a fast-paced, collaborative environment.
  • This role requires up to 25% travel to offices in Houston, Texas and Canonsburg, PA, as well as domestic and international conferences and events.

Preferred Experience and Skills:

  • Experience using datasets/tools such as Kpler, IEA, Bloomberg, customs/trade flows, or similar.
  • Prior experience supporting a trading desk.

Work Location:

This role is primarily remote; however, the selected candidate must reside within the Houston, Texas area.