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Graduate Quantitative Analyst Jobs in Texas (NOW HIRING)

Sr Analyst, Credit Risk Mgmt

Frisco, TX · On-site

$84K - $152K/yr

Graduate degree in a quantitative field a plus * Intermediate or higher proficiency in SAS or other statistical/analytical programming languages highly preferred * Prior consumer risk management ...

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Graduate Quantitative Analyst information

See Texas salary details

$52.6K

$124.7K

$223.6K

How much do graduate quantitative analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for graduate quantitative analyst in Texas is $124,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $135,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Graduate Quantitative Analyst position, and why are they important?

To thrive as a Graduate Quantitative Analyst, you need a strong background in mathematics, statistics, data analysis, and a relevant degree such as mathematics, statistics, finance, or engineering. Proficiency with technical tools like Python, R, SQL, and statistical modeling software is commonly required, and familiarity with data visualization platforms is a plus. Strong problem-solving abilities, attention to detail, and clear communication skills help you stand out in this collaborative and analytical role. These qualifications are crucial for effectively analyzing complex data sets, generating insights, and supporting strategic decision-making in quantitative-driven organizations.

What does a typical day look like for a Graduate Quantitative Analyst?

A typical day for a Graduate Quantitative Analyst involves collecting, cleaning, and analyzing large data sets to identify trends or support financial and business modeling efforts. You’ll collaborate closely with senior analysts, portfolio managers, and IT teams to design and implement quantitative strategies, build statistical models, and run simulations. In addition, you may present your findings to team members or contribute to ongoing research projects, which helps you quickly build your technical and communication skills. This dynamic environment offers excellent opportunities to learn from experienced professionals and gain exposure to different aspects of quantitative analysis.

What is a Graduate Quantitative Analyst job?

A Graduate Quantitative Analyst is an entry-level role in finance, typically within investment banks, hedge funds, or asset management firms. The role involves using mathematical and statistical models to analyze financial data, develop trading strategies, and assess risk. Candidates usually have a strong background in mathematics, statistics, physics, or computer science. They work closely with traders, data scientists, and risk managers to optimize decision-making. Programming skills in Python, R, or C++ are often required.

What are the most commonly searched types of Graduate Quantitative Analyst jobs in Texas? The most popular types of Graduate Quantitative Analyst jobs in Texas are:
What are popular job titles related to Graduate Quantitative Analyst jobs in Texas? For Graduate Quantitative Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Graduate Quantitative Analyst jobs in Texas look for? The top searched job categories for Graduate Quantitative Analyst jobs in Texas are:
Infographic showing various Graduate Quantitative Analyst job openings in Texas as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $124,727 per year, or $60 per hour.

Graduate Quantitative Researcher, PhD (2027 Start)

Optiver

Austin, TX • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

As a Graduate Quantitative Researcher, you'll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to better understand market behavior and identify trading opportunities. 

Research at Optiver is highly applied and end-to-end. You'll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, you'll transform insights into solutions that directly influence how we trade. 

This opportunity is also available in our Chicago office.

What You'll Do: 

Your onboarding 

You'll participate in Global Optiver Academy, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business. 

Your responsibilities 

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas: 

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities 
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance 
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management 
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency 

What You'll Get:  

You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions. 

In addition, you'll receive: 

  • The opportunity to work alongside best-in-class professionals from over 40 different countries 
  • Highly competitive compensation package 
  • Global profit-sharing pool and performance-based bonus structure 
  • 401(k) match up to 50% 
  • Comprehensive health, mental, dental, vision, disability, and life coverage 
  • 25 paid vacation days alongside market holidays 
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more 

What To Expect

As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer. 

Who You Are: 

  • PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements 
  • Expected to graduate by mid-2027 and available to start full-time employment upon graduation 
  • Solid foundation in mathematics, probability, and statistics 
  • Excellent research, analytical, and modeling skills 
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making 
  • Proficiency in any programming language 
  • Strong interest in working in a fast-paced, collaborative environment 
  • Fluent in English with strong written and verbal communication skills 

Who We Are:  

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. 

Optiver is supportive of US immigration sponsorship for this role. 

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.