Mastering Quantitative Techniques and Data-Driven Insights for Financial Decision Making
Mastering Quantitative Techniques and Data-Driven Insights for Financial Decision Making
Who will you meet ?
Prof. Ioannis Spyridopoulos
Assistant Professor of Finance
American University Kogod School of Business Prof. Ioannis Spyridopoulos Professor Ioannis Spyridopoulos is an Assistant Professor of Finance at the Kogod School of Business, American University, and a Visiting Research Scholar at the Federal Reserve Board. He holds a Ph.D. in Finance from Rice University’s Jones School of Business and has previously been a Visiting Finance Ph.D. student at the University of Chicago’s Booth School of Business. His research focuses on corporate finance, financial intermediation, and market structure, with publications in top-tier journals such as the Journal of Financial and Quantitative Analysis, Review of Corporate Finance Studies, and Journal of Corporate Finance. His work has received multiple awards, including the RCFS Rising Scholar Award and best paper recognitions from major finance associations. Professor Spyridopoulos has an extensive teaching background, specializing in business finance and quantitative methods in finance. He has been recognized for his excellence in teaching with multiple Outstanding Teaching Awards at American University. In addition to his academic contributions, he actively participates in leading finance conferences and serves as a referee for esteemed finance journals.Ben Bousquet
Assistant Director of Graduate Admissions
American University Kogod School of Business Ben Bousquet is an Assistant Director of Graduate Admissions at the Kogod School of Business. He has previously worked in undergraduate admissions at Grinnell College and Dartmouth College. In his free time, he enjoys exploring the vast food scene of Washington D.C., and the great museum scene throughout the city.In this session, prospective students will gain an understanding of the Quantitative methods and data analysis in finance involve using mathematical models, statistical techniques, and computational tools to analyze financial data and inform decision-making. These methods help in risk assessment, portfolio management, pricing of financial instruments, and forecasting market trends, enabling data-driven strategies in finance.
Statistical Analysis
Mathematical Modeling
Risk Management
Data Interpretation
Financial Theories and Frameworks
Software Tools
Algorithmic Trading
Statistical Analysis
Mathematical Modeling
Risk Management
Data Interpretation
Financial Theories and Frameworks
Software Tools
Algorithmic Trading
Enhanced Digital Literacy
Increased Cybersecurity Awareness
Access to SEED Scholarship Fund
Application Fee Waiver
Enhanced Digital Literacy
Increased Cybersecurity Awareness
Access to SEED Scholarship Fund
Application Fee Waiver
Located in the vibrant and dynamic city of Washington, D.C., the American University's Kogod School of Business (Kogod) has been shaping future business leaders since its founding in 1955. By harnessing the power of American University's renowned reputation, Kogod offers a unique platform for students to excel in both the private business sector and public service. With top employers like AstraZeneca, Booz Allen Hamilton, Capital One, the Department of Treasury, Amazon, Deloitte Consulting, and Raytheon among others, Kogod graduates are propelled into careers that shape industries and drive change. The accolades speak for themselves: Ranked #9 in Diversity for Full-Time MBAs by Bloomberg Businessweek, Kogod stands out as a leader in creating inclusive, innovative environments where all voices are heard. Additionally, with rankings like #1 in Full-Time MBA for Human Resources (Princeton Review), the school continues to shine on the national and global stage. Kogod is more than just a business school; it's a launchpad for those who dare to dream big, inspiring students to become the next generation of leaders in a world where business, policy, and impact intersect.
Full-time MBA
MS in Accounting
MS in Analytics
MS in Finance
MS in Marketing
MS in Sustainability Management
02 April 2025
8:00 PM IST (Asia/Kolkata)
26 March 2025
7:00 PM IST (Asia/Kolkata)
27 March 2025
7:30 PM IST (Asia/Kolkata)
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