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Graduate Quant Jobs in Austin, TX (NOW HIRING)

GRE Tutor

Round Rock, TX · Remote

$23 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online GRE tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to

GRE Tutor

Austin, TX · Remote

$23 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online GRE tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to

GRE Tutor

San Marcos, TX · Remote

$23 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online GRE tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to

Analyst

San Marcos, TX · On-site

$112K/yr

Overview For US Applicants: For U.S. applicants, please submit your application through our online portal by our deadline: September 13, 2026 for consideration. The Analyst Role As an Analyst, you

Analyst

Austin, TX · On-site

$112K/yr

Overview For US Applicants: For U.S. applicants, please submit your application through our online portal by our deadline: September 13, 2026 for consideration. The Analyst Role As an Analyst, you

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You

Showing results 21-40

Graduate Quant information

See Austin, TX salary details

$97.1K

$168.2K

$257.2K

How much do graduate quant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for graduate quant in Austin, TX is $168,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,300.00 and $197,200.00 per year, depending on experience, location, and employer.

What is a graduate quant?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What are some typical challenges faced by graduate quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

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

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What are popular job titles related to Graduate Quant jobs in Austin, TX?

For Graduate Quant jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Graduate Quant jobs?

Cities near Austin, TX with the most Graduate Quant job openings:

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Austin, TX

Full-time, Temporary, Internship

Re-posted 18 days ago


Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.  

This opportunity is also available in our Chicago office.

What You'll Do: 

Led by our dedicated Education team, you'll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you'll work alongside an experienced researcher and contribute to a project that's aligned with current business needs. Throughout the internship, you'll gain exposure to the AI tools and technologies that support research and development across the business, with 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 
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance  
  • A highly-competitive internship compensation package 
  • Optiver-covered flights, living accommodations, and commuting stipends  
  • 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: 

  • Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance 
  • Expected graduation betweenDecember 2027 - June 2029 and available to intern during Summer 2027 
  • Open to full-time opportunities upon graduation in 2028 or 2029 
  • 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.Â