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Algorithmic Trading Jobs in Houston, TX (NOW HIRING)

Hanwha Energy USA

Trading Analyst

Houston, TX

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 ...

Hanwha Energy USA

Trading Analyst

Houston, TX

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 ...

Hanwha Energy USA

Trading Analyst

Houston, TX · On-site

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 ...

ECI Group

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 ...

ECI Group

DevOps Engineer (Contract)

Houston, TX · On-site

... 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 ...

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All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Houston, TX

Algorithmic Trading information

See Houston, TX salary details

$69.4K

$79.9K

$87.6K

How much do algorithmic trading jobs pay per year?

As of Jul 20, 2026, the average yearly pay for algorithmic trading in Houston, TX is $79,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $84,800.00 per year, depending on experience, location, and employer.

What Is Algorithmic Trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative 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-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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 quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
More about Algorithmic Trading jobs
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Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Houston, TX as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $79,919 per year, or $38.4 per hour.

Production Support Engineer - Trading Systems

Qube Research & Technologies

Houston, TX

$40 - $52.25/hr

Other

Re-posted 15 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.

Apply