Quantitative finance

BUFC’s quantitative research team exists to educate members on computational and statistical strategies in quantitative finance. We aim to foster and equip our members with valuable skills that will allow them to succeed in any quantitative field. Members will have the opportunity to learn tools used for analyzing data in preparation for project work throughout the semester. A sample meeting agenda can include discussions on quantitative strategies, brainteasers, lectures, and projects. Applications to join the team will be sent out via buinvest@bu.edu after Splash every semester. Experience with Python and statistics is highly recommended. If you wish to request more information, please feel free to email Ryan Gilbert, VP of Quant, at ryanjg@bu.edu.

About

Objectives

With their new knowledge, teams will complete projects and present their findings to the club towards the end of each semester. Quantitative Juniors will participate in guided projects throughout the semester, and Quantitative Seniors will collaborate with other members to develop and implement strategies or other ideas. Sample projects can include, but are not limited to, recreation of financial products, price predictions, and trading algorithms. We encourage the team to take ideas from research papers or any resources they may find online. Our long term goal is to grow a paper trading account and eventually integrate our quantitative strategies in a fund.

What is Quant?

Quantitative finance involves applying mathematics and data to analyze financial markets, assess risk, and make data-driven investment decisions. There are several different spaces within quantitative finance that we will potentially explore: derivative pricing, risk management, statistical analyses, modeling and more. Each area requires extensive use of statistics, finance, programming, and mathematics.