Summary
Callan Hoskins is a Sector Data Analyst based in New York with eight years of experience blending software engineering, data science, and quantitative market strat work. Currently at Citadel covering L/S equities in TMT and financials, he previously built analytics and trading strat tools at Goldman Sachs and contributed to academic research on corporate disclosures at Stanford GSB. A Stanford CS undergraduate, he has practical full-stack and ML experience from internships that ranged from IoT deployments and device classification models to production web features. Callan pairs rigorous technical chops with hands-on deployment experience—he’s shipped ML models into commercial IoT systems and supported live trading analytics. Comfortable across research, engineering, and finance domains, he brings a rare mix of lab-level experimental discipline and production-grade delivery.
8 years of coding experience
1 year of employment as a software developer
Miramonte High School
Bachelor of Science - BS | Computer Science, Computer Science, Bachelor of Science - BS | Computer Science, Computer Science at Stanford University
Italian, Latin