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Systematic Trading Jobs in Texas (NOW HIRING)

The Role As a Quantitative Research Analyst, you will contribute directly to the research and development of systematic trading strategies. You will work closely with portfolio managers, developers ...

Global Trading Lead, Derivatives

Houston, TX ยท On-site

$299K - $366K/yr

Develop systematic and macro trading models to complement the Phillips 66 trading portfolio * Coach, develop, and assess the Derivatives team, including leading succession planning and talent ...

Own the end-to-end development of systematic, mid to high-frequency trading strategies within the Delta One space, from research and design through to implementation and execution. * Develop a strong ...

Own the end-to-end development of systematic, mid to high-frequency trading strategies within the Delta One space, from research and design through to implementation and execution. * Develop a strong ...

C2C Bonding Engineer

Austin, TX ยท On-site

$131K - $206K/yr

Own all Systematic Yield/Reliability related issues for these steps. * Lead projects to cure these ... Trade Secrets Notice By submitting an application, you agree not to disclose to Samsung-or ...

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Systematic Trading information

See Texas salary details

$26.8K

$98.1K

$268.7K

How much do systematic trading jobs pay per year?

As of Aug 12, 2026, the average yearly pay for systematic trading in Texas is $98,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,971.00 and $132,794.00 per year, depending on experience, location, and employer.

What are some typical challenges faced in systematic trading?

One of the main challenges in Systematic Trading is staying ahead of rapidly changing market conditions while ensuring trading algorithms remain robust and effective. Professionals regularly work with large, complex data sets and must continuously monitor and optimize models for accuracy and risk management. Collaboration with other traders, researchers, and technology teams is common, requiring strong teamwork and communication skills. Overcoming these challenges requires both technical expertise and the willingness to learn and adapt quickly in a competitive, fast-paced financial environment.

What skills and qualifications are needed for systematic trading?

To thrive in Systematic Trading, you need a strong background in quantitative analysis, programming (often Python, R, or C++), and a degree in finance, mathematics, statistics, or a related field. Proficiency with trading platforms, quantitative research tools, and experience with databases and backtesting frameworks is highly valued, and certifications like CFA or FRM can also be beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills help professionals stand out in this data-driven environment. These skills and qualities are crucial for developing, executing, and refining algorithmic trading strategies in dynamic financial markets.

What is a systematic trading?

A Systematic Trading job involves developing and executing algorithmic trading strategies based on quantitative models and predefined rules. Professionals in this role use data analysis, programming, and statistical techniques to identify trading opportunities, manage risk, and optimize performance. They typically work with financial instruments like equities, futures, or currencies across various markets. This role requires expertise in coding (Python, C++, or Java), mathematics, and market microstructure. Systematic traders focus on automation and efficiency to minimize human biases and maximize profitability.

What are popular job titles related to Systematic Trading jobs in Texas? For Systematic Trading jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Systematic Trading jobs in Texas look for? The top searched job categories for Systematic Trading jobs in Texas are:
What cities in Texas are hiring for Systematic Trading jobs? Cities in Texas with the most Systematic Trading job openings:
Infographic showing various Systematic Trading job openings in Texas as of August 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 66% Full Time, 28% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $98,057 per year, or $47.1 per hour.

Quantitative Research Analyst

Eka Finance

Austin, TX โ€ข On-site

Full-time

Re-posted 5 days ago


Job description

Austin, TX (Candidates must be based in Austin or open to relocating)

We are a fast-growing quantitative investment firm focused on generating consistent, risk-adjusted performance across global markets. The team combines deep quantitative expertise with proprietary research technology that allows new ideas to be tested quickly and deployed efficiently. This is an opportunity to join a highly collaborative environment with clear progression into senior research and portfolio management roles.

The Role

As a Quantitative Research Analyst, you will contribute directly to the research and development of systematic trading strategies. You will work closely with portfolio managers, developers, and other researchers to turn data into actionable trading insights while continuously expanding your understanding of markets and quantitative methods.

Key Responsibilities

  1. Enhance and refine existing trading strategies to improve performance and scalability
  2. Research and develop new models, signals, and techniques designed to increase risk-adjusted returns
  3. Work closely with portfolio managers, researchers, and developers to translate complex research questions into practical, data-driven solutions
  4. Identify and evaluate new datasets, tools, and methodologies that can provide a competitive advantage
  5. Stay current with academic research and industry developments, and convert promising ideas into revenue-generating strategies

Requirements

  1. Strong quantitative and analytical skills with experience working on large and complex datasets
  2. Curious and adaptable mindset, with the ability to test new approaches and challenge assumptions when data supports it
  3. Solid programming and data analysis skills in Python and/or R
  4. Exposure to machine learning, statistical modelling, or optimisation techniques is a plus
  5. Bachelorโ€™s degree in a technical discipline (e.g., Mathematics, Physics, Computer Science, Engineering, or similar) from a well-regarded university
  6. At least 2+ years of experience in a quantitative research role within finance or another data-intensive, technology-driven environment