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Quantitative Researcher Jobs in Texas (NOW HIRING)

Citadel

$4.5K - $5.8K/wk

Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

Research and implement new trading strategies * Analyze existing strategies to identify potential ... No previous Quant Finance or specific asset class experience required. * History of diverse ...

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 ...

Anson McCade

Quant Research Analyst

Austin, TX · On-site

$120K - $150K/yr

Collaborate with other team members across a range of quantitative disciplines Requirements: * 2+ years of experience in a Quantitative Analyst or Research position * Strong experience in Python or R

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How much do quantitative researcher jobs pay per year?

As of Sep 12, 2026, the average yearly pay for quantitative researcher in Texas is $111,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $142,100.00 per year, depending on experience, location, and employer.

What is a quantitative researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

What are the key skills and qualifications needed to thrive as a quantitative researcher?

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.

What are some common challenges quantitative researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

Do I need a PhD to be a quantitative researcher?

A PhD is often preferred for quantitative researcher roles, especially in finance or academia, as it demonstrates advanced analytical and statistical skills. However, some positions may accept candidates with a master's degree or equivalent experience in mathematics, statistics, or related fields, along with strong programming skills in tools like Python or R.
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Quantitative Researcher jobs near you
Infographic showing various Quantitative Researcher job openings in Texas as of September 2026, with employment types broken down into 4% Internship, 79% Full Time, 4% Part Time, and 13% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $111,021 per year, or $53.4 per hour.

Quantitative Researcher, PhD

Austin, TX • On-site

Teza Technologies
Securities, Commodity Contracts, and Financial Investments • 11 - 50 employees
Learn more about Teza Technologiesexternal

Other

Medical

Re-posted 5 days ago

Job description

We are looking for exceptional quantitative researchers to develop systematic trading strategies based on market microstructure.

This role is focused on extracting predictive signals from high-frequency market data and turning them into robust, scalable trading models. You will explore large datasets, develop new features, test hypotheses, and work closely with researchers and engineers to deploy ideas into production.

Location

Austin, TX (5 days in-office requirement)

Key Responsibilities
  • Research predictive signals from market microstructure data.
  • Design and evaluate new features using the most granular market data.
  • Develop statistical and machine learning models for systematic trading.
  • Build robust research infrastructure and analytical tools.
  • Work directly with experienced researchers and Portfolio Managers to take ideas from hypothesis to live trading.
Basic Requirements
  • PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or a related quantitative discipline.
  • Outstanding mathematical and statistical skills.
  • Strong programming ability in Python and C++/Java.
  • Experience working with quantitative models.
  • Curiosity, creativity, and proven academic track record.
What you’ll get
  • On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
  • Build Strategies while becoming the best at what you do
  • Professional guidance from experienced mentors
Benefits
  • Health insurance
  • Flexible sick time policy
  • Office Lunches
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