For over 25 years, the Master of Science in Computational Finance (MSCF) program at Carnegie Mellon University ( ) has been a leader in the training of professionals working in quantitative finance. The program’s coursework combines relevant material covering financial markets, mathematics, programming, and data science. Courses are taught by a combination of expert faculty from across CMU and industry practitioners.

The MSCF program seeks to further expand its coverage of modern methods of data science, including machine learning, relevant to market-centered financial data. To meet this goal, the program is recruiting industry practitioners who can deliver courses that cover both the foundational and practical aspects of such methods. Sample topics for courses include natural language processing, deep learning, reinforcement learning, visualization, and so forth.

Courses run for seven weeks, and consist of 19.5 hours of instruction. Courses conclude with either a final exam or a final project, but the instructor is allowed some discretion to design the course in the manner they see fit. Lectures can be scheduled for the evening to accommodate the instructor. Instructors will receive approximately 20 hours per week of TA support to help with grading. It is expected that courses will be developed in adherence with MSCF’s emphasis on the use of Python.

The Fall 2022 semester starts on August 29.

MSCF operates two campuses, one in Pittsburgh, and the other in Lower Manhattan. A high-quality video link allows for lectures to be delivered from either location, with students able to interact and ask questions in real time. Limited travel will be expected of the instructor in order for students at both campuses to have an opportunity to interact personally.

Carnegie Mellon University considers applicants for employment without regard to,
and does not discriminate on the basis of, gender, race, sexual orientation, age,
protected veteran status, disability, or any other legally protected status.


Graduate degree in a relevant field, or an equivalent amount of professional experience. The instructor should be a practitioner or academic with direct experience with the topic to be covered. Recent experience in teaching professional courses is preferred, but not necessary.

Application Instructions

Applicants for this position should submit the following materials:

● A letter of interest that indicates your specific areas of expertise;
● A statement of teaching philosophy;
● A full curriculum vitae;
● A discussion of the specific courses that you are prepared to teach;
● Contact information for three references, including name, position, email address, phone number and your professional relationship with them;
● For those with prior academic experience, examples of work by your students.

Equal Employment Opportunity Statement

Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

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