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Algorithmic Trading Developer Jobs in Texas (NOW HIRING)

USM

JB061646 - Senior DevOps Engineer - Tr

Houston, TX · On-site

$124K - $159K/yr

... algorithmic trading technology in a compliant and flexible way. • Experience of Algo regulation, audit , and compliance & RTS6) is highly desirable • Being part of the on-call rota, working as ...

USM

JB061646 - Senior DevOps Engineer - Tr

Houston, TX · On-site

$124K - $159K/yr

... algorithmic trading technology in a compliant and flexible way. • Experience of Algo regulation, audit , and compliance & RTS6) is highly desirable • Being part of the on-call rota, working as ...

Hudson River Trading

HPC Network Engineer

Austin, TX · On-site

... algorithmic trading firm operating at the forefront of technology and finance. This position ... Proven ability to select and work with vendors to engineer switches for next-generation computing ...

Hanwha Energy USA

Trading Analyst

Houston, TX

Our expertise covers the entire energy value chain from project development and engineering to ... Support development of algorithmic trading platform * Providing key financial analysis to enable ...

Hanwha Energy USA

Trading Analyst

Houston, TX

Our expertise covers the entire energy value chain from project development and engineering to ... Support development of algorithmic trading platform * Providing key financial analysis to enable ...

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All JobsAlgorithmic Trading Developer JobsAlgorithmic Trading Developer Jobs in Texas

Algorithmic Trading Developer information

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How much do algorithmic trading developer jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for algorithmic trading developer in Texas is $55.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $66.30 per hour, depending on experience, location, and employer.

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

To thrive as an Algorithmic Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or related fields. Expertise in trading platforms, financial data APIs, and familiarity with machine learning libraries and version control systems is common, alongside relevant certifications like CFA or CQF. Exceptional analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for success in this role. These capabilities enable developers to design, test, and optimize trading algorithms that perform reliably and profitably in dynamic financial markets.

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

AspectAlgorithmic Trading DeveloperQuantitative Analyst
Required CredentialsBachelor's or Master's in Computer Science, Finance, or related fields; programming skillsDegree in Mathematics, Statistics, Finance, or Economics; strong analytical skills
Work EnvironmentDevelops trading algorithms, codes, tests, and implements trading systemsBuilds models, analyzes data, and provides trading insights
Employer & Industry UsageFinancial firms, hedge funds, trading firms focusing on system developmentInvestment banks, hedge funds, asset managers focusing on data analysis

While both roles work within the finance industry and require quantitative skills, Algorithmic Trading Developers primarily focus on coding and implementing trading algorithms, whereas Quantitative Analysts analyze data and develop models to inform trading strategies.

What is an Algorithmic Trading Developer?

An Algorithmic Trading Developer is a software professional who designs, builds, and maintains computer programs (algorithms) that automatically execute trades in financial markets. These developers combine knowledge of programming, quantitative analysis, and financial markets to create strategies that can analyze market data and place trades faster and more efficiently than human traders. Their work often involves working with large datasets, optimizing code for speed, and ensuring low-latency execution. They may also collaborate with traders and quantitative analysts to implement and test new trading ideas.

What are some common challenges Algorithmic Trading Developers face when deploying new trading strategies?

Algorithmic Trading Developers often encounter challenges such as ensuring low-latency execution, accurately backtesting strategies with real-world data, and managing the risks of live trading. Deployment requires close collaboration with quantitative analysts, traders, and IT teams to validate models and maintain robust infrastructure. Additionally, developers must monitor for unexpected market conditions and quickly address any system failures or regulatory changes that could impact trading performance.
What are popular job titles related to Algorithmic Trading Developer jobs in Texas? For Algorithmic Trading Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading Developer jobs in Texas look for? The top searched job categories for Algorithmic Trading Developer jobs in Texas are:
Algorithmic Trading Developer jobs near you
Infographic showing various Algorithmic Trading Developer job openings in Texas as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $116,311 per year, or $55.9 per hour.
JB061646 - Senior DevOps Engineer - Tr

JB061646 - Senior DevOps Engineer - Tr

USM

Houston, TX • On-site

$124K - $159K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

  • Start Date: Interview Types
  • Skills TDS, DACS, ADH/ADS, .. Visa Types Green Card, US Citiz..

    • Position: Senior DevOps Engineer - Trading & Supply
    Duration: 6 Months Contract
    Location: Houston, Texas 77002
    Only on W2
    What We Need From You
    Required Industry Knowledge:
    • Understanding of all major global futures exchanges
    • Knowledge of the full exchange-traded derivatives trade lifecycle
    • Minimum of 8 years' experience in Commodity Trading & Capital Markets / Investment Banks - to bring credible externalisation of mindset and approach, and ensure we are cost: value competitive
    • Knowledge of market data providers (Bloomberg, Refinitiv, etc.) and liquidity aggregation platforms.
    Minimum of 8 years of knowledge of Realtime Market Data distribution platforms, individual Feedhandlers, and Enterprise-level realtime consolidated feeds
    • Minimum of 8 years of knowledge of time series analytic framework, including KDB, Shakti, or similar technologie
    Role Overview
    As a DevOps Engineer, you will be a hands-on Engineer and be a member of a small, high-performing team responsible for global derivatives trading production environments. Your work will be driven by product teams, but also the engineering team's backlogs of improvements and tech debt. Work includes
    • Ensure proactive management of critical end-to-end workflows, continuously improving stability and resilience through close collaboration with delivery and infrastructure teams
    • Assist with troubleshooting and issue resolution across development, support, and technical business users.
    • Serve as a subject matter expert for trading systems initiatives.
    • Hands-on experience in supporting scalable algorithmic trading technology in a compliant and flexible way.
    • Experience of Algo regulation, audit , and compliance & RTS6) is highly desirable
    • Being part of the on-call rota, working as part of a global team of development engineer
    Key Skills and Experience required
    • Solid track record in application deployment best practices
    • 10 years+ experience with Front Office application support and vendor management
    • Rapid incident response to maintain continuous trading operations, turning quick fixes into robust, scalable solutions
    • Proactive system monitoring and troubleshooting, owning reliability improvements, and ensuring their successful delivery
    • Understanding of trading lifecycle, including order capture & execution, allocation workflow, settlement, and compliance requirements
    • Strong analytical and problem-solving skills, with the ability to analyze complex data sets and propose innovative solutions.
    • Must have strong technical skills in scripting, Python, PowerShell, C#, SQL, L, or other programming languages
    • 8 years+ solid relevant FIX Engineering experience
    • Proven experience with exchange and vendor certification
    • Knowledge of Third Party Networks and EMS/OMS software vendors. (e.g., TT, NYFIX, Bloomberg, TradingScreen)
    • Experience in messaging systems, and experience debugging network protocols such as T andP, multicast, would be highly regarded.
    • 8 years+ operational experience in supporting market data distribution platforms, such as Real Time Distribution Systems (RTDS) , knowledge of DACS, ADH & ADS components
    • Knowledge of Multicast data traffic management, arbitration, and message queueing
    • 5 years+ operational experience in supporting time series frameworks such as KDB, shakti
    Soft Skills:
    • Excellent communication skills to interact with traders, developers, and stakeholders.
    • Thrives in high-pressure situations while working alongside traders, developers,s and other engineering teams
    • Proactive, self-motivated, and flexible with a positive attitude
    • Ability to work under demanding deadlines with changing priorities in a trading room environment

    Apply