The Finance Lab (Fin-Lab) is a key element of MIT Sloan’s Master of Finance program. In this graduate-level finance course, students work in teams on substantive projects proposed by external sponsors. Our goal is to provide students with a meaningful opportunity to partner with leading industry practitioners on important topical finance problems, while helping them to bridge the gap between theory and practice, and introducing them to the broader financial community. The course is full-time during the month of January and includes some preparation and follow-up before and after the full-time experience.
We seek projects that address practical business problems, to be completed by a team of three to four highly motivated, well-trained students working full-time for a month. The majority of projects involve the use of one or more advanced technical skills, including financial econometrics, simulation, derivatives valuation, optimization, and related software and programming languages. We also seek a small number of less technical projects.
Interested in becoming a sponsor?
If you are interested in sponsoring a project for Fin-Lab, please email Professor Gita Rao.
Sponsors must have a relevant project with practical significance, and must be willing to write a short description of the project. The sponsor will partner with the students and faculty to identify the final project deliverable: a paper, presentation, software code, model, or any combination of these outputs. During the full-time segment of the project, sponsors should be able to allocate at least one to two hours a week to provide ongoing feedback, and guidance. However, some sponsors may provide more time, so availability will vary by sponsor. Sponsors may opt to host students in their offices during all or part of the month of January. While such sponsors are encouraged to reimburse student travel expenses, this is not required. Additionally, some sponsors elect to have their teams conduct the final presentations in-person, which may also entail travel expenses.
Software and data
Students have access to Bloomberg, Capital IQ, Compustat, CRSP, FactSet, MATLAB, Mathematica, Barra, Northfield, Windham Portfolio Advisor, and a variety of other software tools and data sources. In some cases, the sponsor will provide data or software.
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