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Algorithmic Trader Jobs in Houston, TX (NOW HIRING)

Support development of algorithmic trading platform * Providing key financial analysis to enable both day-to-day and strategic decisions * Responsible for coordinating Supply related management ...

Support development of algorithmic trading platform * Providing key financial analysis to enable both day-to-day and strategic decisions * Responsible for coordinating Supply related management ...

Support development of algorithmic trading platform * Providing key financial analysis to enable both day-to-day and strategic decisions * Responsible for coordinating Supply related management ...

... algorithmic trading technology in a compliant and flexible way • Being part of the on-call rota working as part of a global team development engineers Qualifications : Required : • Must have ...

Senior DevOps Engineer - Trading & Supply

Houston, TX · On-site

$124K - $159K/yr

... algorithmic trading technology in a compliant and flexible way • Being part of the on-call rota working as part of a global team development engineers Qualifications : Required : • You must be a ...

.Net Developer

Houston, TX · On-site

$46 - $61/hr

Capacity to handle multiple tasks to support traders and other business users * Good understanding of data structures, design patterns and algorithms * Agile methodology and practices * Eagerness to ...

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for ...

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for ...

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Algorithmic Trader information

See Houston, TX salary details

$37.7K

$92.4K

$257.4K

How much do algorithmic trader jobs pay per year?

As of Jul 26, 2026, the average yearly pay for algorithmic trader in Houston, TX is $92,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $100,700.00 per year, depending on experience, location, and employer.

How much do algorithmic traders make?

Algorithmic traders typically earn between $80,000 and $200,000 annually, with experienced professionals and those working at hedge funds or proprietary trading firms earning higher salaries and bonuses. Compensation often depends on skill level, trading performance, and the firm's size, with many traders also receiving performance-based incentives.

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

To thrive as an Algorithmic Trader, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills and quantitative analysis. It can be financially rewarding and offers opportunities in finance firms and hedge funds, but it requires strong technical knowledge, risk management skills, and continuous learning. Success depends on market conditions, technical proficiency, and the ability to adapt strategies over time.

Who is the richest Algo trader in the world?

The richest algorithmic trader is often considered to be Jim Simons, founder of Renaissance Technologies, a highly successful quantitative hedge fund. His firm employs advanced mathematical models and computer algorithms to generate trading strategies, making him one of the wealthiest individuals in the trading industry. Many top algo traders leverage skills in mathematics, programming, and data analysis to succeed in this field.

Is algo trading really profitable?

Algorithmic traders use automated systems and algorithms to execute trades based on predefined criteria. While successful algo trading can be profitable, it requires advanced programming skills, market knowledge, and risk management; profitability varies depending on strategy, market conditions, and execution quality.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

What are the most commonly searched types of Algorithmic Trader jobs in Houston, TX? The most popular types of Algorithmic Trader jobs in Houston, TX are:
What are popular job titles related to Algorithmic Trader jobs in Houston, TX? For Algorithmic Trader jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trader jobs in Houston, TX look for? The top searched job categories for Algorithmic Trader jobs in Houston, TX are:
What cities near Houston, TX are hiring for Algorithmic Trader jobs? Cities near Houston, TX with the most Algorithmic Trader job openings:
Infographic showing various Algorithmic Trader job openings in Houston, TX as of July 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $92,416 per year, or $44.4 per hour.

Production Support Engineer - Trading Systems

Qube Research & Technologies

Houston, TX • On-site

$40 - $52.25/hr

Other

Posted 21 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.