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Remote Quant Trading Jobs in Spring, TX (NOW HIRING)

... power trading, ideally within physical and short-term markets. Strong quantitative skills ... Houston, Texas or Remote How to Apply To apply, Please email your CV and cover letter to ...

Perform quantitative analysis on large scale derivatives portfolio * Advance new hedging strategies ... However, we are open to considering full remote candidates outside of these areas. #LI-SB1#LI-SAFG ...

Remote Quant Trading information

See Spring, TX salary details

$87.2K

$151K

$230.9K

How much do remote quant trading jobs pay per year?

As of May 31, 2026, the average yearly pay for remote quant trading in Spring, TX is $151,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $177,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Quant Trader, and why are they important?

To thrive as a Remote Quant Trader, you need strong quantitative analysis skills, programming expertise (often in Python, R, or C++), and a background in mathematics, statistics, or finance, typically supported by an advanced degree. Familiarity with trading platforms, algorithmic trading systems, and data analysis tools such as MATLAB or Bloomberg Terminal is common, and certifications like CFA can be advantageous. Exceptional problem-solving, decision-making, and self-motivation are crucial soft skills for excelling in a remote and fast-paced environment. These abilities ensure effective strategy development, rapid adaptation to market changes, and sustained profitability when working independently.

How do remote quant traders typically collaborate with other team members and stay aligned on trading strategies?

Remote quant traders often use digital communication platforms such as Slack, Zoom, and shared code repositories to collaborate closely with portfolio managers, developers, and data scientists. They participate in regular virtual meetings to discuss market conditions, strategy adjustments, and backtesting results. Staying proactive with clear documentation and frequent updates is crucial for maintaining alignment, as quant trading teams rely heavily on transparent communication to ensure strategies are robust and risks are well-managed.

What is remote quant trading?

Remote quant trading refers to quantitative trading roles that can be performed from any location, rather than requiring work at a specific office. Quantitative traders use mathematical models, statistical analysis, and algorithms to identify trading opportunities and make decisions in financial markets. By working remotely, they leverage technology to access trading platforms, data feeds, and collaboration tools. This setup allows greater flexibility and can attract talent from a global pool, but it also requires strong self-discipline and reliable internet connectivity.

What is the difference between Remote Quant Trading vs Remote Quant Researcher?

AspectRemote Quant TradingRemote Quant Researcher
Primary FocusDeveloping and implementing trading strategies to generate profitsConducting research to create new quantitative models and algorithms
Required SkillsProgramming, statistical analysis, market knowledgeMathematics, data analysis, model development
Work EnvironmentFinancial firms, hedge funds, trading desksResearch institutions, financial firms, academia
CredentialsQuantitative degrees, certifications like CFA or CQFAdvanced degrees in math, physics, or related fields

Remote Quant Trading involves applying quantitative models to execute trades and generate profits, often requiring real-time decision-making. Remote Quant Researcher focuses on developing new models and algorithms through research, typically in a more exploratory environment. Both roles require strong quantitative skills and programming expertise, but their core objectives differ: trading is profit-driven, while research emphasizes innovation and model creation.

What are popular job titles related to Remote Quant Trading jobs in Spring, TX? For Remote Quant Trading jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Quant Trading jobs in Spring, TX look for? The top searched job categories for Remote Quant Trading jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Quant Trading jobs? Cities near Spring, TX with the most Remote Quant Trading job openings:
Mid-Sr. Energy Trading Settlements Analyst, Renewables - REMOTE

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

ThinkBAC Consulting

Houston, TX โ€ข On-site, Remote

$84K - $111.20K/yr

Full-time

Medical, PTO

Posted 6 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