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Quantitative Associate Jobs in Texas (NOW HIRING)

Research Associate Department: Research Employment Type: Permanent - Full Time Location: Austin ... Develop timely and rigorous quantitative analyses to enhance clients' decision making. * Work ...

Associate Technician IV

Irving, TX · On-site

$26.50 - $53/hr

Apply statistical, mathematical, and other quantitative and qualitative methods and measurements. Required Qualifications * Associate's degree * 2 years of relevant experience * Advanced skills in ...

The Insights team members work to design both qualitative and quantitative insights that ultimately drive the strategies and recommendations made to our clients. This is a consulting and market ...

Advisory Associate Department: Advisory Employment Type: Permanent - Full Time Location: Austin ... Develop timely and rigorous quantitative analyses to enhance clients' decision making * Work ...

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Quantitative Associate information

See Texas salary details

$28.9K

$84.4K

$136K

How much do quantitative associate jobs pay per year?

As of Jun 11, 2026, the average yearly pay for quantitative associate in Texas is $84,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $110,900.00 per year, depending on experience, location, and employer.

How do Quantitative Associates typically collaborate with traders and technology teams in a financial firm?

Quantitative Associates often work closely with traders to understand their strategies and provide data-driven insights that improve trading outcomes. They also collaborate with technology teams to implement models into production systems, ensuring that algorithms are both effective and efficient. This cross-functional teamwork requires strong communication skills and a willingness to learn from professionals in different disciplines. Regular meetings, joint problem-solving sessions, and collaborative project management tools are commonly used to keep everyone aligned and drive successful outcomes.

What is the difference between Quantitative Associate vs Quantitative Analyst?

AspectQuantitative AssociateQuantitative Analyst
Required CredentialsTypically a master's degree in finance, mathematics, or related field; strong programming skillsSimilar educational background; often requires advanced quantitative skills and certifications
Work EnvironmentFinancial firms, hedge funds, asset management; collaborative teamsSame as Quantitative Associate; focused on model development and data analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersUsed interchangeably in many firms; both roles involve quantitative modeling
Search & Comparison IntentHigh overlap; both roles involve quantitative analysis and modeling

Both Quantitative Associates and Quantitative Analysts work in similar environments, requiring advanced degrees and strong analytical skills. The roles often overlap in responsibilities, focusing on developing models, analyzing data, and supporting trading or investment decisions. The main difference may lie in job titles used by different firms, but their core functions are quite comparable.

What are the key skills and qualifications needed to thrive as a Quantitative Associate, and why are they important?

To thrive as a Quantitative Associate, you need strong quantitative analysis skills, advanced knowledge of mathematics and statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in programming languages like Python or R, data analysis tools, and experience with financial modeling platforms are commonly required. Attention to detail, problem-solving abilities, and effective communication help you translate complex data insights into actionable business strategies. These skills are critical for developing accurate models, managing risk, and supporting data-driven decision-making in financial environments.

What are Quantitative Associates?

Quantitative Associates are professionals who use mathematical, statistical, and computational techniques to analyze financial data and develop models for decision-making in fields such as banking, investment, and risk management. They often support senior quantitative analysts or traders by implementing algorithms, conducting data analysis, and providing insights to improve business strategies. These roles typically require strong skills in programming, mathematics, and finance, and are commonly found in investment banks, hedge funds, and financial technology firms.
What are the most commonly searched types of Quantitative jobs in Texas? The most popular types of Quantitative jobs in Texas are:
What job categories do people searching Quantitative Associate jobs in Texas look for? The top searched job categories for Quantitative Associate jobs in Texas are:
What cities in Texas are hiring for Quantitative Associate jobs? Cities in Texas with the most Quantitative Associate job openings:
Infographic showing various Quantitative Associate job openings in Texas as of June 2026, with employment types broken down into 6% As Needed, 70% Full Time, 12% Part Time, 6% Temporary, 3% Contract, and 3% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $84,389 per year, or $40.6 per hour.
Postdoctoral Fellow in Education Research - Quantitative Analyses #00054896

Postdoctoral Fellow in Education Research - Quantitative Analyses #00054896

Southern Methodist University

Dallas, TX • On-site

$48K - $65K/yr

Full-time

Posted 14 days ago


Southern Methodist University rating

7.4

Company rating: 7.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

285th of 535 rated colleges and universities


Job description

Description
The Research in Mathematics Education unit at Southern Methodist University seeks a full-time postdoctoral research associate to conduct research related to Tier 2 mathematics interventions implemented with students experiencing mathematics difficulty (MD). The successful candidate will join an interdisciplinary team of education researchers and practitioners. They will play a key role in studying student and interventionist interactions with a Tier 2 fraction intervention and the outcomes of participating in the intervention program. The available data covers multiple clustered randomized controlled trials with elementary and middle school students and multiple outcome measures related to mathematics and motivation. Examples of targeted areas for scholarship include mathematics education, Multi-Tiered Systems of Support (MTSS), development of intervention programs, and measurement and assessment.
The postdoctoral researcher will have opportunities to collaborate with faculty, graduate students, and project staff from all project sites (Southern Methodist University, University of Texas at Austin, University of Missouri, and American Institutes for Research). The postdoctoral researcher will be expected to develop and lead their own complementary research activities aligned with the scope of the research unit.
The postdoctoral research associate will have expertise in education, mathematics, statistics and/or psychometrics. Applicants must demonstrate promise for a tenure-track appointment at a research college or university.
Statement of Duties and Responsibilities
Support implementation of research activities for the U.S. Department of Education Office of Education Innovation and Research-funded project: S411B210032.
Mentor graduate and undergraduate students, oversee data organization and processing, participate in communication with the external evaluation team. Participate in the analysis of mainly quantitative student and interventionist assessment, interventionist training, and implementation data. Contribute to manuscript preparation, grant-related reporting, and other dissemination efforts. Conduct research complementary to the existing research activities to establish one's own research agenda.
Salary and Appointment
The initial appointment is for one year with the possibility of renewal for an additional year, based on satisfactory performance. The preferred start date is August 1, 2026. The salary is competitive and commensurate with experience and relevant research.
Qualifications
Minimum Qualifications
The initial appointment is for one year with the possibility of renewal for an additional year, based on satisfactory performance. The preferred start date is August 1, 2026. The salary is competitive and commensurate with experience and relevant research.
Applicants must have completed requirements for a doctoral or other terminal degree in education, learning sciences, mathematics education, statistics, or related fields within the past five years or have evidence of completion of all requirements for the doctoral degree by the start date.
Evidence of scholarly activity/potential is required.
Preferred Qualifications
Content expertise in mathematics, education, and/or statistics. Experience in MTSS and assessment. Interest and knowledge in quantitative methods, including multivariate statistics, multi-level modeling, psychometrics, and/or meta-analysis. Teaching experience in primary or middle school grades. Research and publications related to mathematics, MTSS, educational psychology, or mathematics education. Demonstrated commitment to mentoring undergraduate and graduate students.
Application Instructions
Priority Consideration Date: Review of applications will begin June 22, 2026. To ensure full consideration for the position, the application must be received by June 22, 2026, but the committee will continue to accept applications until the position is filled. The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check.
Submission Materials
• Application
• CV
• Cover letter should include detailed information about qualifications for this position, including a clear statement of research interests, relevant content/subject area, and/or data analysis/management experiences
• 1-3 relevant publications with a description of applicant's contribution
• 3-5 professional references, including doctoral dissertation advisor (Letters may be requested.)
Hiring is contingent upon the satisfactory completion of a background check.
SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

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