Graduate Level Quantitative Intern (Paid)

Join the Aptech team, helping as we build and implement a big data and machine learning platform. As an Aptech intern you will experience the software development process from start to finish in one of the hottest fields today, big data analytics.


Aptech Systems, founded in 1983, is a long standing figure in the numerical analysis software field. Aptech, founded in Seattle, was built on the foundation of applicable and efficient computation in an environment rich with cutting edge research and numerical analysis. In 2013, Aptech relocated its head office to Chandler, Arizona, recognizing the area’s deep pool of technological resources, as well as its innovative, entrepreneurial spirit. Aptech produces one of the leading computational analysis software programs, GAUSS. GAUSS is the product of decades of innovation and enhancement that helps people achieve their goals by offering products and applications that define the leading edge of statistical analysis capabilities. GAUSS applications range from physics to finance, and provides the flexibility to tackle fundamental to advanced modelling and analysis needs.


Aptech is seeking a second or third year graduate student in Economics, Statistics, Mathematics, or other quantitatively rigorous fields. While your technical background is of interest to us, your most important qualification is your attitude. Aptech is interested in students who:
  • Are independent thinkers, able to tackle challenges while maintaining a positive and professional outlook
  • Are excited to work collaboratively in a small team environment with a culture of invention and innovation
  • Are quantitatively-driven in their thinking and intrinsically curious to understand the facts surrounding a problem
  • Want to experience first-hand the challenges of bringing a commercial software product to market working with a team of quantitative modelers, software engineers, and product managers


Aptech directly offers interns the opportunity to make meaningful contributions to cutting-edge computational analysis methods and tools. Additionally, Aptech exposes interns to the latest research and analysis applications in a variety of fields. Whatever your background and field, an Aptech internship provides valuable career-relevant training and experience in a supportive community setting. At Aptech, we challenge you to extend theoretical knowledge to real-world problem solving, while providing you with clear, direct, and accessible supervision combined with effective evaluation.


Required Qualifications

  • Exceptional problem solving skills with the versatility to adapt to new situations.
  • Working experience with the theory and applications of conventional and emerging econometric and statistical modeling techniques, including, but not limited to, multivariate regression, hierarchical Bayesian modeling, and machine mining (e.g. clustering, classification, association mining, etc.)
  • Outstanding verbal and written communication skills
  • Enrollment in a Master’s or Ph.D. program in a quantitatively rigorous field such as Economics, Statistics, Mathematics, or Computer Science

Preferred Qualifications

  • Econometric and statistical modeling experience with GAUSS, R, S+, SAS, SPSS, or MATLAB
  • Familiarity with optimization algorithm development and implementation
  • Familiarity with big data analysis and machine learning


As an intern with Aptech you will work directly with a supervisor to determine work goals that best align the skills and knowledge you hope to gain with Aptech’s objectives. Through the course of your work term, aspects of your work could include:
  • Testing, creating applied examples, and writing documentation for modeling and analysis tools
  • Evaluating current industry modeling trends in order to make informed recommendations for guiding the development of new statistical modeling or machine learning algorithms
  • Managing development and execution of implementation project plans, meeting all deliverables and deadlines
  • Planning, writing, and delivering online GAUSS user resources including webinars, tutorials, and example applications
  • All internships are a preliminary 10-12 week assignment with a possible opportunity for extension for successful candidates
  • Estimated hours per week: 15-20 hours
  • This is a paid internship. Compensation DOE

Apply Here!

Applications for the GAUSS internship program can be submitted below. Please be prepared to upload a resume, cover letter explaining how you meet the qualifications for the program, and contact information for three academic and/or professional references.

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