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Algorithmic Trading Analyst Jobs in Texas (NOW HIRING)

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Algorithmic Trading Analyst information

See Texas salary details

$29K

$92.4K

$149.9K

How much do algorithmic trading analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for algorithmic trading analyst in Texas is $92,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,404.00 and $123,120.00 per year, depending on experience, location, and employer.

What is an Algorithmic Trading Analyst?

An Algorithmic Trading Analyst is a finance professional who designs, develops, and tests automated trading strategies using mathematical models and computer algorithms. They analyze market data, identify patterns, and create systems that can execute trades at optimal times and prices without human intervention. Their work involves programming, data analysis, and a deep understanding of financial markets. These analysts often collaborate with traders, quants, and software engineers to improve trading performance and manage risks.

What is the difference between Algorithmic Trading Analyst vs Quantitative Analyst?

AspectAlgorithmic Trading AnalystQuantitative Analyst
Required CredentialsBachelor's in finance, computer science, or related field; often certifications like CFA or CQFDegree in mathematics, statistics, or finance; advanced certifications like CFA or FRM common
Work EnvironmentFinancial firms, hedge funds, trading desks; focus on developing and implementing trading algorithmsInvestment banks, asset management firms; focus on modeling and data analysis for investment strategies
Employer & Industry UsagePrimarily in trading and hedge fund industriesBroader across finance, risk management, and research roles

While both roles require strong quantitative skills and familiarity with financial markets, Algorithmic Trading Analysts focus on developing and deploying trading algorithms, whereas Quantitative Analysts often work on broader financial modeling and risk assessment. The roles overlap in skills and certifications but differ in daily tasks and primary objectives.

What are some of the main challenges faced by Algorithmic Trading Analysts in their daily work?

Algorithmic Trading Analysts often encounter challenges such as adapting to rapidly changing market conditions and ensuring that trading algorithms remain robust and effective. They must vigilantly monitor algorithm performance, quickly troubleshoot issues, and fine-tune models to minimize risk and maximize returns. Additionally, collaborating with software developers, traders, and risk managers is essential to implement updates and maintain compliance with regulatory standards. Staying current with the latest financial technologies and market trends is also crucial for long-term success in this dynamic field.

What are the key skills and qualifications needed to thrive as an Algorithmic Trading Analyst, and why are they important?

To thrive as an Algorithmic Trading Analyst, you need a solid background in quantitative analysis, programming skills (often in Python, C++, or Java), and a degree in finance, mathematics, statistics, or a related field. Familiarity with trading platforms, market data feeds, backtesting frameworks, and certifications such as CFA or FRM can be highly beneficial. Exceptional problem-solving abilities, attention to detail, and strong communication skills help analysts adapt strategies and collaborate with trading teams. These skills are crucial for developing robust trading algorithms, minimizing risk, and capitalizing on market opportunities in a fast-paced environment.
What job categories do people searching Algorithmic Trading Analyst jobs in Texas look for? The top searched job categories for Algorithmic Trading Analyst jobs in Texas are:
What cities in Texas are hiring for Algorithmic Trading Analyst jobs? Cities in Texas with the most Algorithmic Trading Analyst job openings:

Production Support Engineer - Trading Systems

Qube Research & Technologies

Houston, TX

$40 - $52.25/hr

Other

Posted 7 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.