Part-time Professors - Mathematics

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Working at Fanshawe College

Fanshawe College is committed to the principles of hybrid work and may offer this option to employees whose work can be performed in an alternate location, without adverse impact to the operations of the College, inclusive of our Student and Staff experience. Confirmation of hybrid work options available to you will be clarified upon hire and may be subject to change based on the duties required of your position. Successful candidates will be required to perform work within Ontario and must be available to work on campus, as required.

Campus Location:

Department:

Remote Type:

Note: These are part-time temporary Faculty positions. Start and end dates to be determined.

Note: This position is located at 1001 Fanshawe College Blvd London, ON N5V 1W2.

The Lawrence Kinlin School of Business is looking to build a pool of applicants to fill vacancies as they arise, support succession planning, and expand our current part-time faculty team. Having fresh ideas and diverse experience is essential to ensuring our programs remain vibrant and aligned with industry needs and student success.

We require faculty qualified to teach at the introductory through advanced levels across the following areas:

• Business Mathematics (arithmetic, algebra, applied problem solving)
• Mathematics of Finance (time value of money, interest, annuities, bonds)
• Quantitative decision-making and financial analysis
• Business Statistics and Data Analysis
• Quantitative methods for business decision-making

Courses may include:

• MATH-1052 Business Math
• MATH-1175 Mathematics of Finance
• MATH-7007 Mathematics for Decision Making
• METH-7022 Statistics for Business
• METH-7027 Quantitative Methods – Business Decisions

A Part-time Professor at Fanshawe College is responsible for providing academic leadership and creating an effective learning environment for students. Successful candidates will teach within the Lawrence Kinlin School of Business and will be required to work within Ontario and be available to teach on campus, as required. Faculty play a key role in helping students develop strong quantitative, analytical, and decision-making skills essential for success in business, finance, and related fields.

What You’ll Bring

Education

A bachelor’s degree in one of the following (or closely related field):

• Mathematics
• Applied Mathematics
• Statistics
• Actuarial Science
• Mathematical Finance / Financial Mathematics
• Economics (with strong quantitative focus)
• Engineering (with strong mathematics background)

A master’s or PhD in a related field is considered a strong asset and is preferred for teaching advanced courses, particularly in:

• Business Statistics
• Quantitative Methods
• Financial Decision-Making
• Data Analysis and Modeling
• Ontario Certified Teacher (OCT) designation or equivalent teaching credential is considered an asset

Candidates with graduate-level qualifications (Master’s or PhD) will be prioritized for teaching higher-level courses involving statistical analysis, regression modeling, time series, and financial decision-making.

Professional & Teaching Experience

• Minimum of three years of relevant professional and/or teaching experience
• Experience teaching or applying concepts such as:
  • Algebra and foundational mathematics
  • Time value of money, annuities, and financial calculations
  • Cost-volume-profit analysis
  • Net present value (NPV) and internal rate of return (IRR)
  • Statistical analysis, hypothesis testing, and regression
  • Time series analysis and/or statistical quality control
  • Previous college or post-secondary teaching experience is an asset

Skills & Attributes

• Strong communication and instructional skills, with the ability to explain quantitative concepts clearly to diverse learners, including non-math majors
• Demonstrated commitment to student success and academic excellence
• Ability to connect mathematical and statistical concepts to real-world business applications
• Experience with curriculum development and student evaluation is an asset
• Strong technical/computer skills, including:
  • Microsoft Excel (required)
  • Experience with statistical software (e.g., SPSS, R, Python, or similar) is strongly preferred
  • Familiarity with Learning Management Systems (e.g., Brightspace, Moodle) is an asset

Fanshawe College uses Workday to manage recruitment and hiring processes.

Educational Credentials

While transcripts are not required for the interview, they are mandatory as a condition of employment.

Equity, Diversity and Inclusion

Fanshawe College is an equal opportunity employer. We are committed to equity, value diversity, and welcome applicants from diverse backgrounds.

Accommodation

Fanshawe College provides accommodations to job applicants with disabilities throughout the hiring process. If a job applicant requires an accommodation during the application process or through the selection process, the hiring manager and the recruiter leading the recruitment will work with the applicant to meet the job applicant’s accommodation needs. Accommodation requests per the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act can be emailed to: askhr@fanshawec.ca

Land Acknowledgement

Fanshawe College would like to acknowledge and honour the Anishinaabe, Lotinuhsyuní and Lenape people of southwestern Ontario as the traditional owners and custodians of the lands and waterways where Fanshawe College is located.

We thank all applicants for their interest; however, only those chosen for an interview will be contacted.