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Internship Stochastic Modeling Jobs in Texas (NOW HIRING)

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Develop, prototype, and test data link models and communication signal processing algorithms in ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Develop, prototype, and test data link models and communication signal processing algorithms in ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Develop, prototype, and test data link models and communication signal processing algorithms in ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Develop, prototype, and test data link models and communication signal processing algorithms in ...

Internship Stochastic Modeling information

What do internship stochastic modeling positions do?

As an intern in stochastic modeling, you will typically work on projects involving data analysis, model development, and simulation of random processes. Your daily tasks may include cleaning and organizing datasets, implementing mathematical models using programming languages like Python or R, and running simulations to test hypotheses. You will likely collaborate with senior modelers and data scientists, participate in team meetings, and may also present your findings. This role offers exposure to real-world applications in industries such as finance, insurance, or engineering, helping you develop both technical and communication skills.

What is the difference between Internship Stochastic Modeling vs Data Analyst?

AspectInternship Stochastic ModelingData Analyst
Required CredentialsRelevant coursework, basic programming skillsBachelor's in statistics, data science, or related field
Work EnvironmentInternship setting, research-focused, financial or tech industriesOffice environment, various industries including finance, marketing, healthcare
Employer & Industry UsageFinancial firms, tech companies, research institutionsCorporations, consulting firms, government agencies

Internship Stochastic Modeling typically involves applying probability and statistical techniques to model uncertainty, often in finance or research settings. Data Analysts focus on interpreting data, creating reports, and supporting decision-making across diverse industries. While both roles require analytical skills, stochastic modeling internships emphasize mathematical modeling, whereas data analyst roles focus on data manipulation and visualization.

What is an internship stochastic modeling?

Internship Stochastic Modeling positions are temporary roles designed for students or recent graduates to gain practical experience in applying stochastic processes and mathematical modeling techniques. Interns typically work under the guidance of experienced professionals in fields such as finance, insurance, engineering, or data science. They assist with analyzing data, developing models that incorporate randomness or uncertainty, and supporting decision-making processes. These internships provide valuable hands-on experience and help interns build skills in programming, statistical analysis, and problem-solving relevant to stochastic modeling careers.

What are the key skills and qualifications needed to thrive as an internship stochastic modeling?

To thrive in a Stochastic Modeling Internship, you need a solid background in probability, statistics, and mathematics, often supported by coursework or a degree in a quantitative field. Familiarity with programming languages such as Python, R, or MATLAB, and experience using statistical modeling software are typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and explaining complex concepts. These abilities ensure you can develop accurate models, collaborate with teams, and contribute valuable insights to data-driven decision-making processes.
What are the most commonly searched types of Stochastic Modeling jobs in Texas? The most popular types of Stochastic Modeling jobs in Texas are:
Infographic showing various Internship Stochastic Modeling job openings in Texas as of July 2026, with employment types broken down into 2% Internship, 76% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Austin, TX โ€ข On-site

Full-time, Temporary, Internship

Re-posted 8 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 between December 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.