Assistant/Associate Adjunct Faculty in Finance -FIN 810.01: Finance Analytics, Spring Quarter 2023

Saint Mary’s College of California

Moraga, CA

ID: 7118492
Posted: December 16, 2022

Job Description

Assistant/Associate Adjunct Faculty in Finance -FIN 810.01: Finance Analytics, Spring Quarter 2023

Location: Moraga, California

Open Date: Oct 10, 2022

Deadline:

Description:
Founded in 1863, Saint Mary's is a residential campus nestled 20 miles east of San Francisco in the picturesque Moraga Valley. Based in the Catholic, Lasallian and Liberal Arts traditions, Saint Mary's currently enrolls more than 4,000 students from diverse backgrounds in undergraduate and graduate programs. The De La Salle Christian Brothers, the largest teaching order of the Roman Catholic Church, guide the spiritual and academic character of the College.

As a comprehensive and independent institution, Saint Mary's offers undergraduate and graduate programs integrating liberal and professional education. Saint Mary's reputation for excellence, innovation, and responsiveness in education stems from its vibrant heritage as a Catholic, Lasallian and Liberal Arts institution. An outstanding, committed faculty and staff that value shared inquiry, integrative learning, and student interaction bring these traditions to life in the 21st century. The College is committed to the educational benefits of diversity.

Qualifications:

FIN 810.01: Finance Analytics

Spring Quarter, 04/10/2023 – 06/17/2023, Class meets every Saturday 1:30pm – 5:30pm, Moraga Campus

This course focuses on the applications of analytics in finance and related fields through econometric analysis and financial modeling. Concepts of financial analytics will be introduced via exercises such as: Creating a portfolio and evaluate its performance; Estimating asset pricing models using econometric techniques; Understanding and applying portfolio optimization methods; and Explore the fundamentals of options markets, and options trading. Topics will include the Capital Asset Pricing Model (CAPM), Markowitz efficient frontier, binomial trees and the Black-Scholes option pricing model.

Qualifications

- Ph.D. degree in Finance or a closely related field and a recent publication record in the field, OR

- A Master’s degree in Finance or a closely related field and five years of current, relevant professional experience.

To apply, visit https://apptrkr.com/3718586

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