OPT Quantitative Jobs
Quantitative roles in finance, data science, and research are among the most OPT-friendly positions in the U.S. job market. Employers hiring quants expect advanced degrees and technical depth, which aligns well with the STEM OPT extension, giving eligible graduates up to 36 months of work authorization to build their careers.
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Job Title: Clinical Assistant Professor, Quantitative Methods
Job Summary
The Daniels School of Business at Purdue University invites applications for a clinical assistant faculty position in the Department of Quantitative Methods beginning in Fall 2027. The position is non-tenure track and promotable to higher academic ranks.
The successful candidate’s responsibilities will include a combination of the following:
- Developing instructional materials and teaching and coordinating undergraduate courses in data and analytics, such as Business Statistics, Management Science, Data Mining, Machine Learning, Predictive Analytics, Advanced Spreadsheet Modeling, and emerging AI topics including generative AI, large language models, and agentic AI.
- Developing and supervising experiential learning courses and projects for students in the undergraduate programs, and representing the Department of Quantitative Methods in existing program management and new program development within the school.
- Developing and teaching graduate-level quantitative methods and analytics courses for residential master’s programs and the Online Master of Science in Business Analytics (Online MSBA) program.
- Mentoring students in their academic and professional development, including the development of analytical capabilities and preparation for careers in business analytics and related fields.
- Engaging with academic and business communities to stay current with emerging developments in business analytics and AI; collaborating with relevant professionals and organizations; and translating these developments into timely and relevant curricula and student learning experiences.
The position carries an annual workload of 18 credit hours of teaching (approximately six undergraduate sections or nine master’s sections) and 9 credit hours of service. Service responsibilities may contribute to the administration, operation, and development of the department, the Daniels School of Business, Purdue University, and the profession. Clinical faculty are also expected to engage proactively with businesses, professional organizations, and other external communities relevant to their disciplines.
Salary and compensation are highly competitive and commensurate with the candidate’s experience and accomplishments. Additional information is available through Purdue University Human Resources.
Minimum Requirements
- A Ph.D. or M.A./M.S. in Quantitative Methods or a related field, with demonstrated teaching experience at the college level. The degree must be completed before the first day of Purdue University’s Fall 2027 semester.
- Evidence of teaching effectiveness, such as student course evaluations or other documentation of successful college-level instruction.
- Evidence of experience developing, organizing, and/or supervising experiential learning projects, programs, or events.
- Familiarity with current AI methods and tools and an interest in incorporating emerging AI capabilities into analytics education.
- Strong communication and interpersonal skills, with the ability to work effectively with students, faculty colleagues, program administrators, and external stakeholders.
Application and Review Process
Applications should include a curriculum vitae, a teaching statement, and available evidence of teaching effectiveness. Applicants should also submit the names and email addresses of three references through https://apps.it.purdue.edu/KARS/Apply/bxGmTu2K1K
Review of applications will begin January 8, 2027, and will continue until the position is filled.
Inquiries may be directed to Professor Zhiwei Zhu (zhu816@purdue.edu) or Professor Yichen Zhang (zhang@purdue.edu), Daniels School of Business, Purdue University, 403 Mitch Daniels Blvd., West Lafayette, IN 47907, USA.
A background check is required for employment in this position.
About Purdue University
As Indiana's land grant institution established in 1869, Purdue is one of the nation's leading public research universities. Located in West Lafayette, IN, Purdue offers a great work and living environment. As a college town, West Lafayette is centrally located to several major business centers including Indianapolis (1 hour), Chicago (2 hours), Cincinnati (3 hours), Louisville (3 hours), Columbus (3.5 hours), and St. Louis (4 hours). Purdue's Research Park is home to over 200 business start-ups, many of which originated from faculty innovations.
Purdue University's vision is to be at the forefront of advancing Data Science-underpinned research and education by providing faculty and students with an integrated, Data Science-fluent campus ecosystem. It is home to a large number of world-class faculty engaged in fundamental research and applications of Data Science, Machine Learning, and Artificial Intelligence.
About Daniels School of Business
Among a wide range of graduate and undergraduate degree programs, the Daniels School of Business has a very successful and highly rated master's program in Business Analytics & Information Management (MS BAIM) and an online Master of Science in Business Analytics. These programs are directed by faculty members from the Department of Quantitative Methods. The department also collaborates with the Krenicki Center for Business Analytics & Machine Learning.
Purdue University is an equal opportunity/equal access university.
Posting Start Date: 9/22/26
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Get Access To All JobsTips for Finding OPT Sponsorship in Quantitative
Confirm your degree qualifies for STEM OPT
Quantitative roles typically require degrees in mathematics, statistics, computer science, or financial engineering. If your degree is on the STEM Designated Degree Program list, you're eligible for the 24-month STEM OPT extension beyond your initial 12 months.
Target firms with a history of H-1B sponsorship
Hedge funds, quantitative trading firms, and investment banks regularly sponsor H-1B visas for quant roles. Prioritize employers with established visa sponsorship pipelines, since these firms understand the process and budget for immigration costs as standard practice.
Lead with your technical stack in applications
Employers hiring for quantitative positions evaluate Python, R, C++, and statistical modeling skills before anything else. Listing these prominently on your resume signals immediate productivity and reduces perceived risk for employers who are uncertain about sponsoring international candidates.
Apply well before your OPT start date
Quantitative hiring processes often include multiple technical interview rounds spanning four to eight weeks. Starting your job search three to four months before your authorization begins gives you enough time to complete the process without gaps in your employment eligibility.
Be transparent about your OPT timeline upfront
Quant employers value precision and straightforward communication. Stating your OPT end date and STEM extension eligibility early in the process saves time for both sides and positions you as organized rather than evasive about your work authorization situation.
Document every project with quantifiable outcomes
When competing for quant roles, specific results matter far more than general descriptions. Frame internship and research work in terms of model accuracy improvements, portfolio return contributions, or computational efficiency gains to demonstrate the impact employers expect from quantitative hires.
Quantitative OPT: Frequently Asked Questions
Can I work in a quantitative role on OPT without an employer filing anything for me?
Yes. During your standard 12-month OPT period, you can begin working as soon as USCIS approves your Employment Authorization Document (EAD). Your employer does not need to file any petition on your behalf. The STEM OPT extension requires your employer to submit a formal training plan using Form I-983, but that only applies once you seek the extension.
Which quantitative job titles are most likely to qualify for the STEM OPT extension?
Roles such as quantitative analyst, quantitative researcher, quantitative developer, risk analyst, and algorithmic trading associate typically qualify when your underlying degree is in a STEM field like mathematics, statistics, financial engineering, or computer science. The key is that both your degree and the job's primary duties must align with your STEM Designated Degree Program. Your Designated School Official can confirm eligibility before you apply.
How do I find quantitative employers who are open to sponsoring OPT students?
Browse Migrate Mate to find quantitative roles from employers who have explicitly indicated openness to OPT and visa sponsorship. Searching general job boards often buries sponsorship details in fine print. Migrate Mate filters for sponsorship-friendly employers, saving you from applying to firms that will screen you out at the offer stage simply due to work authorization.
What happens to my OPT status if a quantitative role is contract or project-based rather than full-time?
OPT allows part-time work of at least 20 hours per week and permits multiple concurrent employers, so contract and project-based arrangements can qualify. However, you must be actively engaged in work related to your degree throughout your OPT period. Gaps of 90 days or more on standard OPT, or 150 days on STEM OPT, can jeopardize your status, so contract timing matters.
Do quantitative roles at smaller firms or startups typically lead to H-1B sponsorship after OPT?
Smaller quantitative firms and fintech startups do sponsor H-1B visas, but less predictably than large banks or established hedge funds. Before accepting an offer, ask directly whether the company has sponsored H-1B petitions before, whether they work with an immigration attorney, and how they handle the lottery risk. A firm that cannot answer these questions clearly may not have the infrastructure to support your long-term status.