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Remote Python Trading Jobs in Texas (NOW HIRING)

Houston, TX (Hybrid - 80% Onsite / 20% Remote) Team: Gas & Power Benefits: Dental, Healthcare, ... Develop production-quality Python applications for analytics and decision support * Design and ...

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Senior Software Engineer

Irving, TX · On-site +1

$117K - $155K/yr

Hybrid -- Trilogy NextGen office (3 days on-site / 2 days remote) Employment: Full-Time -- Direct ... Required Technical Skills CORE ENGINEERING -- PYTHONPython 3.x -- advanced proficiency (type ...

Strong programming skills with knowledge of C++/VBA/Python/MATLAB preferred * Knowledge/experience ... However, we are open to considering full remote candidates outside of these areas. #LI-SB1#LI-SAFG ...

IT Project Manager Officer

Houston, TX · Remote

$94K - $111K/yr

... remote team coordination * Proven experience in vendor management for IT solutions Skills ... trading technologies, and risk analytics tools; preferred exposure to scripting (SQL, Python) for ...

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Remote Python Trading information

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 job categories do people searching Remote Python Trading jobs in Texas look for? The top searched job categories for Remote Python Trading jobs in Texas are:
What cities in Texas are hiring for Remote Python Trading jobs? Cities in Texas with the most Remote Python Trading job openings:
Mid-Sr. Energy Trading Settlements Analyst, Renewables - REMOTE

Mid-Sr. Energy Trading Settlements Analyst, Renewables - REMOTE

ThinkBAC Consulting

Houston, TX • On-site, Remote

$81K - $101K/yr

Full-time

Medical, PTO

Posted 14 days ago


Job description

Job Description
Mid-Senior Energy Trading Settlements Analyst - Renewables Energy Storage (BESS)
Locations: HYBRID REMOTE - Houston, TX Area
This an opportunity to join an industry leading renewable energy venture and IPP with strong private equity backing that is focused on the development/execution of dynamic utility-scale energy storage projects. They are at the forefront of the industry, have accumulated over 9GW+ of projects in a relatively short period of time, and are currently in an accelerated expansion phase.
The Energy Trading Settlements Analyst will report into a Director on the Energy Trading Team and help pioneer the company's power trading settlement reconciliation process. A strong data analytics background working with SQL or Python is strongly preferred.
They are committed to creating more renewable infrastructure solutions for the grid and are offering comprehensive 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, health benefits, the opportunity to work with a transparent Executive Leadership Team..and more.
RESPONSIBILITIES:
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst - prepares, evaluates, and validates settlement invoices in coordination with energy trading partners
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst- leads the ISO, RTO, and counterparty daily accounting initiatives with afocus on shadow settlements
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst- manages the checkout process for physical trades before scheduling with ISOs and RTOs
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst- coordination of financial energy trading and physical trading AP/AR (Accounts Payable and Accounts Receivables) activities
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst- analysis and cross comparison of power trading derivatives to support the creation of a commercial disparity reports

QUALIFICATIONS:
  • 2-4+ years of Data analytics, Energy trading and power markets settlements experience
  • Hands-on experience with power trading reconciliations, confirmations, derivatives, and AR/AP settlement validations
  • Proven track record communicating with power trading counterparties and key internal cross-functional resources on the commercial asset management team
  • Well versed in the utilization of SQL, Python, and Power BI for portfolio optimization and physical/virtual power trading dynamics dealing with various energy platforms (renewables, solar, wind, BESS, energy storage, natural gas, O&G, Hydro...etc)
  • Solid analytical background focused on power market pricing, hedging strategies, transaction structuring, and risk assessments
  • Understanding of real-time energy trading, derivatives, power marketing, and transmission market operations including any relevant NERC, FERC, or transmission tariff/compliance initiatives
  • Must have an understanding of national energy markets and renewable energy portfolios (PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO)
  • Candidate who have held the following titles may be ideal: Energy Trading Analyst, Settlements Analyst, Data Science Analyst, Credit Analyst, orData Analyst

*The deadline for applications is 75 days from the original posting date