Part-Time Lecturer - MPS Insurance, Analytics and Management

Looking for a qualified candidate who would teach on-ground, hybrid, and online graduate-level courses in Insurance, Analytics and Management. This position is located at the Northeastern University Boston Campus.

Instructional areas included, but are not limited to, analytics/AI (e.g., probability and statistics, data exploration, data visualization, and predictive analytics, ML), and insurance specific topics like underwriting, claim management, finance, reinsurance, etc. The mission of the Master of Professional Studies in Insurance, Analytics and Management is to prepare professionals working in the insurance industry, and other related industries, for success as insurance professionals at the intersection of technology, application, digital leadership and decision support. This degree prepares students for entry-‐ and mid-‐level roles in the Insurance industry and prepares graduates to enter or advance within the following types of professional roles: Claims Management, Insurance Finance, Underwriting, Product Pricing and Distribution, Technology and Analysis, and International Insurance. The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.

Minimum qualification: Masters in an aligned discipline and/or analytics-industry experience.

Preference for candidates with a PhD in a sciences field, or similar.

Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.  

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.