Ian Zelaya

Professional Summary

Ian Zelaya, currently a vital member of QTS Capital Management LLC, brings an impressive blend of quantitative research and data science expertise to the team. His work focuses on the development and deployment of cutting-edge trading strategies, grounded in machine learning and quantitative finance principles.

Professional Experience

• Quantitative Researcher at QTS Capital Management LLC: Ian's role involves researching and developing machine learning-based trading strategies and supporting their deployment through Interactive Brokers. His skills in finance, algorithmic trading, quantitative finance, machine learning, and Python programming significantly contribute to the firm's innovative approaches.
• Lead Data Scientist at Trounceflow: Ian spearheaded data science projects, focusing on predictive modeling and clustering to enhance decision-making in international emerging markets. His work in feature selection and engineering notably improved model performance and accuracy.
• Data Scientist: In this role, Ian enhanced ETL processes and conducted exploratory data analyses to support investment theses, employing various statistical tools and cluster analysis techniques.

Education and Certifications

• Certifications: Ian has earned prestigious certifications, including the Data Science Professional Certificate from IBM and specializations in Investment Management and Finance & Quantitative Modeling from the University of Geneva and The Wharton School, respectively.
• Educational Background: His academic foundation is solidified with a specialization in Investment Management with Python and Machine Learning from EDHEC Business School, among other credentials.