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

Perform quantitative analysis on large scale derivatives portfolio * Advance new hedging strategies ... Strong programming skills with knowledge of C++/VBA/Python/MATLAB preferred * Knowledge/experience ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong programming ability in a language such as Python * Comfort working in UNIX-based ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong Python programming skills and experience with common data and ML libraries such as numpy ...

Quant Python Remote information

See Houston, TX salary details

$12

$55

$82

How much do quant python remote jobs pay per hour?

As of May 31, 2026, the average hourly pay for quant python remote 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 key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

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

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are popular job titles related to Quant Python Remote jobs in Houston, TX? For Quant Python Remote jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Houston, TX look for? The top searched job categories for Quant Python Remote jobs in Houston, TX are:
What cities near Houston, TX are hiring for Quant Python Remote jobs? Cities near Houston, TX with the most Quant Python Remote job openings:
Infographic showing various Quant Python Remote job openings in Houston, TX as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.
Mid-Sr. Energy Trading Settlements Analyst, Renewables - REMOTE

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

ThinkBAC Consulting

Spring, TX โ€ข On-site, Remote

$78.30K - $103.70K/yr

Full-time

Medical, PTO

Posted 19 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 a focus 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, or Data Analyst

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