Lecturer - MS-Financial Analytics Program
About The Position
The Singelyn Graduate School of Business at California State Polytechnic University, Pomona invites applications for Part-Time Lecturer positions in financial analytics. The MSFA is a STEM-designated, CFA-affiliated graduate program offered in one-year and two-year cohort formats requiring 30 units of coursework. Courses are offered year-round during the fall, spring, and summer terms. The program prepares students for careers in finance by combining a strong foundation in financial markets with advanced analytical and quantitative methods. Students develop the knowledge and technical skills needed to analyze complex financial data, build predictive models, and make data-driven financial decisions. The curriculum includes financial analysis, advanced corporate finance, financial reporting and equity valuation, quantitative investment analysis and portfolio management, big data analytics in finance using Python and R, data visualization, machine learning in finance, fixed income securities, quantitative risk management with financial derivatives using Python, financial technology (FinTech), and an asset management practicum. The pool is continuously open, and positions are filled as needed, based on student enrollment and funding. Candidates may need to be available to teach on short notice. The Fall term begins in late August and ends in mid-December; the Spring term begins mid-January and ends in mid-May. Opportunities for teaching during the Summer Sessions may also be available.
Requirements
- A Master’s degree in Finance, Financial Analytics, Financial Engineering, Quantitative Finance, Business Analytics, Data Science, Economics, Statistics, Computer Science, or a closely related field and significant professional experience (at least five years) in a relevant area of finance or financial analytics.
Nice To Haves
- Doctoral degree in Finance, Financial Analytics, Financial Engineering, Business Administration (Finance), Economics, Statistics, Data Science, Computer Science, or a closely related quantitative field.
- Demonstrated expertise in finance and financial analytics through research, teaching, or industry practice.
- Ability to teach graduate-level quantitative courses using tools such as Python, R, SQL, Excel, Power BI/Tableau, Bloomberg, or similar technologies.
- University-level teaching experience, preferably at the graduate level.
- CFA, FRM, CPA, CQF, or other relevant professional certifications.
- Experience in one or more of the following: Investment management, Corporate finance, Financial planning and analysis (FP&A), Banking, Risk management, FinTech, Financial modeling, Data analytics or machine learning applications in finance.
- Prior teaching experience at the college or university level and ability to furnish evidence of strong teaching.
Responsibilities
- Teach assigned courses within the program curriculum; deliver instructional content; evaluate student learning through assignments, examinations, and other assessments; submit grades in accordance with college deadlines and policies; and maintain weekly office hours commensurate with assigned teaching load.
- Assignments may include day, evening, and/or weekend courses.
Benefits
- Positions hired exclusively to teach in the self-support programs are not eligible for benefits.
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
