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Weekend Algorithmic Trading Quant Jobs in Texas (NOW HIRING)

... algorithmic trading strategies. Duties will include: * Supervising and optimizing strategy ... Bachelor's degree in a quantitative field preferred. Strong graduates will also be considered. * 1 ...

... algorithmic trading strategies. Duties will include: * Supervising and optimizing strategy ... Bachelor's degree in a quantitative field preferred. Strong graduates will also be considered. * 1 ...

Trading Analyst

Houston, TX · On-site

$75K - $110K/yr

Support development of algorithmic trading platform * Providing key financial analysis to enable ... Bachelor's Degree Required in Finance, Economics or any other hard science quantitative. * 1-3 ...

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Weekend Algorithmic Trading Quant information

What is a Weekend Algorithmic Trading Quant?

A Weekend Algorithmic Trading Quant is a quantitative analyst who specializes in developing, testing, and implementing trading algorithms specifically for financial markets that operate or are accessible during weekends, such as cryptocurrency markets. These professionals use mathematical models, statistical analysis, and programming skills to identify trading opportunities, manage risk, and optimize trading strategies outside of traditional market hours. Their work often involves analyzing large datasets, backtesting strategies, and deploying automated trading systems to generate profits while minimizing human intervention.

What are some common challenges faced by a Weekend Algorithmic Trading Quant, and how can they be addressed?

One of the main challenges for a Weekend Algorithmic Trading Quant is ensuring the robustness and reliability of trading algorithms during periods of lower market liquidity and higher volatility, which are common on weekends in certain asset classes like cryptocurrencies. Additionally, effective monitoring and quick response to unexpected market events can be more difficult with limited team availability outside regular business hours. To address these challenges, quants typically implement thorough backtesting, automated alert systems, and clear escalation protocols to manage risk and maintain performance even during off-peak times.

What are the key skills and qualifications needed to thrive as a Weekend Algorithmic Trading Quant, and why are they important?

To thrive as a Weekend Algorithmic Trading Quant, you need strong quantitative analysis skills, programming proficiency (such as Python or C++), and a degree in mathematics, finance, or a related field. Familiarity with trading platforms, statistical modeling libraries, and backtesting systems is typically required, along with experience using market data APIs. Exceptional problem-solving abilities, attention to detail, and the capacity to work independently under time constraints are valuable soft skills in this role. These competencies are crucial for developing, testing, and executing profitable trading strategies in dynamic weekend markets where rapid decision-making is essential.
What are the most commonly searched types of Algorithmic Trading Quant jobs in Texas? The most popular types of Algorithmic Trading Quant jobs in Texas are:
What are popular job titles related to Weekend Algorithmic Trading Quant jobs in Texas? For Weekend Algorithmic Trading Quant jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Weekend Algorithmic Trading Quant jobs in Texas look for? The top searched job categories for Weekend Algorithmic Trading Quant jobs in Texas are:
Infographic showing various Weekend Algorithmic Trading Quant job openings in Texas as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Production Support Engineer - Trading Systems

Qube Research & Technologies

Houston, TX

$40 - $52.25/hr

Other

Posted 4 days ago


Job description

Q-Tx LLC, based in Houston, Texas, is an independent commodities trading business, leveraging our passion for data, research, technology and trading expertise to deliver consistent and high-quality returns for our investors.

Q-Tx is affiliated with Qube Research & Technologies, a global quantitative and systematic investment manager.

Your future role within Q-Tx:

  • Your core objective will be to provide high-touch user support to the Q-Tx team who trade across major US markets.
  • Provide prompt user support for investigations & resolution of any system issues impacting front office trading flows.
  • Liaise with internal and external teams on a day-to-day basis to provide effective management of the QRT trading infrastructure, resolving issues through to completion.
  • Support trading platforms on different OS environments - Windows & Linux (Manual trading application, Algorithmic trading platforms, Exchange/FIX connectivity system, and Risk systems).
  • Ensure all trading components are up and running before the start of each trading day and support the release management process ensuring stability of the production environment.
  • Provide maintenance and support of static databases and supporting processes.
  • Develop tools to continuously improve our ability to monitor the trading environment.
  • Evening/weekend support requirements (normally through remote access).

Your present skillset:

  • >2yrs of Bash, Command Dos, Powershell or Python scripting experience is essential.
  • Minimum 3yrs in a support role.
  • Excellent problem solving and highly effective business analytics capabilities required.
  • Must have a keen focus on ownership of issues and commitment to resolving them.
  • Excellent written and oral communication skills are essential.
  • Expert windows desktop and server administration experience is essential.
  • High level of Linux OS experience is essential.
  • Expert relational database skills (in order of preference: SQL Server, Postgres) are essential.
  • Experience of managing the expectations of Front Office traders and senior management is desirable.
  • Knowledge of Equities, Futures, Commodities and FX asset classes is an advantage.
  • Knowledge of market data feed handlers and execution feeds is an advantage.
  • Knowledge of market-making/liquidity provision and algorithmic trading is an advantage.