Summary
Makena Schwinn is a data-driven finance professional and software-trained analyst blending a Computer Science and Business degree from UC Berkeley with nine years of experience across policy, consulting, and markets. She currently contributes to Citadel’s Global Fixed Income + Macro desk after supporting macro-financial research at the Federal Reserve Board and building data engineering solutions at Deloitte. Comfortable translating complex quantitative models into production-ready analytics, she has hands-on experience with cloud platforms, Apache Spark, and product-focused engineering from internships at Amazon Lab126 and UC Berkeley programs. Makena’s background spans academia, applied research, and high-frequency trading environments, giving her a rare ability to bridge rigorous economic analysis with scalable engineering. Notably, she was selected for Accel’s competitive scholar program, reflecting early recognition for leadership at the intersection of product and engineering.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Computer Science, GPA: 3.8, Bachelor of Arts (B.A.), Computer Science, GPA: 3.8 at University of California, Berkeley
Bachelor of Science - BS, Business Administration, 4.0, Bachelor of Science - BS, Business Administration, 4.0 at University of California, Berkeley, Haas School of Business
San Rafael High School
English, Spanish