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Author: Lyubo
Quantitative Researcher and Quant Hiring Manager
After joining the firm to work on volatility modeling for equity options, he transitioned to leading quant onboarding and education, where he develops curriculum covering quantitative finance, data analysis, and machine learning. Lyubo earned his Ph.D. in Mathematics from the Massachusetts Institute of Technology (MIT), specializing in algebraic topology, and is a former International Mathematical Olympiad (IMO) gold medalist.
August 27, 2026 by Lyubo
Investing in early quant education requires upfront cost but delivers long-term gains. Structured training slows initial productivity but leads to steeper growth over time, provided employees stay long enough to realize the benefits. At Susquehanna, scale, retention, and collaboration make this investment worthwhile. Education builds shared foundations, accelerates skill development, and strengthens connections across teams, ultimately improving both individual performance and firm-wide outcomes. Why early training drives long-term performance in quant roles.
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