Summary
Nick Kasper is a quantitative analyst based in Austin, Texas, with six years of experience applying data-driven methods to trading and predictive modeling. At Lucratyva Capital he blends statistical rigor and scalable software practices to build trading strategies, informed by certificates in applied statistical modeling and computing from UT Austin. Comfortable moving between production code and research, he has used Python tools like pandas and scikit-learn to forecast cash flows and evaluate models, and is actively exploring blockchain deployment on Solana. Nick’s background in applied mathematics and economics, plus hands-on teaching experience, gives him a knack for explaining complex quantitative concepts and improving outcomes for at-risk students and stakeholders. Outside work he follows global markets closely and recharges by exploring nature, a balance that keeps his analytical curiosity sharp.
6 years of coding experience
Certificate, Elements of Computing, Certificate, Elements of Computing at The University of Texas at Austin
Plano West Senior High School
Minor, Business, Minor, Business at The University of Texas at Austin - Red McCombs School of Business
French