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Quantitative Research Jobs in Texas (NOW HIRING)

Eka Finance

Quantitative Research Analyst

Austin, TX · On-site

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 ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to identify opportunities, test ideas, and drive decision-making in rapidly evolving markets. Through ...

Optiver

Quantitative Intern (Summer 2027)

Austin, TX · On-site +1

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to identify opportunities, test ideas, and drive decision-making in rapidly evolving markets. Through ...

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Quantitative Research information

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$75.9K

$93.3K

$119.3K

How much do quantitative research jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative research in Texas is $93,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $96,000.00 per year, depending on experience, location, and employer.

What is a quantitative research?

A Quantitative Research job involves analyzing large datasets using mathematical models, statistical techniques, and programming to identify patterns, trends, and insights. Professionals in this field work in industries like finance, technology, and economics to develop data-driven strategies and predictions. They often use programming languages such as Python, R, or MATLAB and collaborate with traders, engineers, and analysts to optimize decision-making.

What does a quantitative research do?

A typical day in Quantitative Research involves analyzing large datasets, designing statistical models, back-testing strategies, and collaborating closely with other researchers, data scientists, and sometimes software engineers. You may spend time coding, conducting peer review of models, presenting findings to stakeholders, and refining research methodologies based on feedback or new market developments. The work environment is often collaborative, intellectually stimulating, and fast-paced, especially in industries like finance or technology where quick decision-making is key. This variety ensures that each day brings both new challenges and opportunities to learn and make a tangible impact on business outcomes.

What are the key skills and qualifications needed to thrive in quantitative research?

To thrive in Quantitative Research, a solid background in mathematics, statistics, and data analysis is essential, often complemented by an advanced degree in a quantitative field such as mathematics, finance, or computer science. Proficiency in statistical programming languages like Python or R, familiarity with data visualization tools, and experience with large data sets are commonly required. Strong problem-solving ability, attention to detail, and effective communication skills help analysts distill complex findings into actionable insights. These competencies are crucial for accurately interpreting data, delivering robust research, and driving decision-making in data-driven environments.

What careers use quantitative research?

Quantitative research is used in careers such as data analyst, financial analyst, market researcher, and economist, where analyzing numerical data to inform decisions is essential. These roles often require skills in statistical software, data modeling, and strong analytical abilities.

What are the most commonly searched types of Quantitative Research jobs in Texas?

The most popular types of Quantitative Research jobs in Texas are:

What are popular job titles related to Quantitative Research jobs in Texas?

For Quantitative Research jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Quantitative Research jobs in Texas look for?

The top searched job categories for Quantitative Research jobs in Texas are:

Quantitative Research jobs near you
Infographic showing various Quantitative Research job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $93,284 per year, or $44.8 per hour.

Quantitative Research Analyst

Eka Finance

Austin, TX • On-site

Full-time

Re-posted 10 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. Bachelor’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

Apply