How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Important: You can only submit one document with your application. The name of the file you upload MUST contain your full name. After submitting an application, applicants should fill out the Application Supplement form here in lieu of a cover letter: https://forms.gle/wwehQ424Xs2o12cN7
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Graduate Student Instructor (GSI) for Math 700: Directed Reading - Data Science in Quantitative Finance II
This is a two-credit special topics course intended for students in the Master’s Program in Quantitative Finance and Risk Management (Quant Program). The aim of the course is to prepare students in the Quant Program to meet the needs of finance industry employers by providing the students with a theoretical understanding of and practical experience in applying data science concepts as they pertain to financial mathematics. The course will focus on mathematical foundations, practical programming exercises, domain expertise, and technical communication and will be divided into the following content areas:
Course content will be taught across two terms (Winter 2021 and Fall 2021), with 2 credits earned each term, and will culminate in students’ completion of a final project at the end of the second semester. This position will be the GSI for the second half of the course.
Being a GSI for this course gives you the unique opportunity to work under the primary instruction of a current industry professional who specializes in machine learning in quantitative finance. The GSI will lead regular instruction on Fridays from 12:00 PM to 1:30 PM, while the primary instructor will lead instruction on select weekends (Fridays 12:00 PM- 1:30 PM and Saturday 10:00 AM – 2:00 PM).
This is a 50% GSI position. The anticipated workload is 16.5 to 20 hours per week. The GSI will work closely with the instructor on all facets of the course in order to help meet student needs. Duties include but are not limited to the following: facilitate weekly class meetings, collaborate with instructor to support the creation of course materials, prepare and deliver some lessons, hold weekly office hours, assist with grading of homework and projects, communicate with instructor regularly, administrative tasks (copying, etc.)
- Graduate student in good standing in the University
- Previous experience as a GSI, with favorable student evaluations
- Graduate level coursework in machine and/or statistical learning
- Graduate level coursework in computer science and programming (Python)
- PhD student in Computer Science, Statistics, or Mathematics
- Research and/or significant project experience in machine learning and/or statistical learning
- Significant project experience in Python
- Coursework or demonstrated interest in financial engineering or financial mathematics
The College of Literature, Science, and the Arts seeks to recruit and retain a diverse workforce as a reflection of our commitments to serve the diverse people of Michigan, fulfill the College’s Guiding Principles, and sustain the excellence of LSA.
- To learn more about diversity, equity, and inclusion visit https://lsa.umich.edu/lsa/dei.html
- To learn more about LSA’s Guiding Principles visit http://lsa.umich.edu/lsa/faculty-staff/human-resources/lsa-staff-guiding-principles.html
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Please contact email@example.com with questions.
Decision Making Process
The candidate will be selected based on qualifications and interviews with the instructor.
Selection Criteria will include:
- Relevant academic preparation for teaching the course material
- Extent of prior instructional experience
- Relevance to graduate training
GEO Contract Information
The University will not discriminate against any applicant for employment because of race, creed, color, religion, national origin, ancestry, genetic information, marital status, familial status, parental status or pregnancy status, sex, gender identity or expression (whether actual or perceived), sexual orientation, age, height, weight, disability, citizenship status, veteran status, HIV antibody status, political belief, membership in any social or political organization, participation in a grievance or complaint whether formal or informal, medical conditions including those related to pregnancy, childbirth and breastfeeding, arrest record, or any other factor where the item in question will not interfere with job performance and where the employee is otherwise qualified. The University of Michigan agrees to abide by the protections afforded employees with disabilities as outlined in the rules and regulations which implement Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act.
Unsuccessful applications will be retained for consideration in the event that there are last minute openings for available positions. In the event that an employee does not receive their preferred assignment, they can request a written explanation or an in-person interview with the hiring agents(s) to be scheduled at a mutually agreed upon time.
This position, as posted, is subject to a collective bargaining agreement between the Regents of the University of Michigan and the Graduate Employees' Organization, American Federation of Teachers, AFL-CIO 3550.
Standard Practice Guide 601.38, Required Disclosure of Felony Charges and/or Felony Convictions applies to all Graduate Student Assistants (GSAs). SPG 601.38 may be accessed online at spg.umich.edu/policy/601.38 , and its relation to your employment can be found in MOU 10 of your employment contract.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.