Bowen Jiang

Vice President
Bulls & Bears Club


Bachelor of Science in Applied and Computational Mathematical Sciences
Bachelor of Arts in Economics


PWC - Summer Analyst, Corporate Tax
CAIDA SECURITIES CO. - Quantitative Analyst, Fixed Income
Huatai Securities CO. - Summer Analyst, Credit Assessment & Management


  • Built a quantitative bond market timing and duration rotation model in R for fixed-income pricing and trading.
  • Completed a development proposal for aluminum, agricultural, and manufacturing industries for a city pilot.
  • Developed a word rating system to assess the effects of negative sentiment on company credit rating, utilized weighted algorithms to rate words with sentiment points and assessed positive/negative effects on credit ratings.
  • Collected and manipulated textual data using Python and established a detective model based on a weighted regression algorithm to assess the effects of managers’ risk perceptions on risk factor disclosures. 
  • Appointed as UW Chinese Student and Scholar Association President, rallied local students to form volunteer teams to help the community during the COVID-19 pandemic.

Goals for Bulls & Bears

Help the club become a bridge between the students and the department; let each participating student have their own gains and let the club have many successful projects of their own; and help each FRE student from a more comprehensive perspective in a meticulous way.

I’m from Jiangsu, China. I did my undergraduate work at the University of Washington, Seattle, studying applied mathematics and economics. I like to read all kinds of novels, especially science fiction (but I'm not a fan of the metaverse). I usually like to play ping pong and badminton. I am also an eSports enthusiast and enjoy most of the competitive games on the market.
I did tax consulting at PWC, and also did quantitative modeling and bond rating in two securities companies. I am currently looking for an internship in quantitative trading and welcome friends who have the same interests as me!