Sandeep Earayil

Expert in Generative AI, Algo Trading, and Alternative Data

Sandeep Earayil is the Head of Alternative Data AI and Research Tech at RBC Capital Markets, a position he has held since January 2023. Based in the San Francisco Bay Area, he focuses on building a multi-domain alternative data practice and developing next-generation AI platforms for alternative data and generative AI applications.1

Professional Background

Sandeep has an extensive background in machine learning, quantitative analysis, and alternative data. Prior to his role at RBC Capital Markets, he served as the Director - Head of Machine Learning and Quantitative Analysis at Credit Suisse from January 2022 to January 2023. His responsibilities included algo trading, investment research, and factor modeling.1

He also held various positions at Credit Suisse, including Vice President of Machine Learning and Quantitative Analysis, where he worked on ESG (Environmental, Social, and Governance) factors and advanced statistical models for investment strategies. His earlier roles involved leading data science practices and developing advanced machine learning models.1

Education

Sandeep earned his Master's degree in Machine Learning and Data Analytics from Carnegie Mellon University (2009-2011) and a Bachelor's degree in Computer Science and Engineering from the University of Kerala (2002-2006). He has also completed a machine learning course from Stanford University via Coursera.1

Affiliations

He is a fellow of both the BCS, The Chartered Institute for IT and the Royal Statistical Society, indicating his commitment to professional development in technology and statistics.1 Additionally, he is a member of the Association for Computing Machinery (ACM).1

Skills and Expertise

Sandeep's expertise includes:

Generative AI
Algorithmic Trading
Alternative Data
Equity Research
Natural Language Processing (NLP)
Geospatial Analysis

His work often involves applying advanced statistical methods and machine learning techniques to analyze large datasets for financial insights.1

Experience

Head of Alternative Data and AI at RBC Capital Markets (Jan 2023 - Present)

Director - Head of Machine Learning and Quantitative Analysis at Credit Suisse (Jan 2022 - Jan 2023), Vice President - Machine Learning and Quantitative Analysis at Credit Suisse (Apr 2019 - Jan 2022), Director - Head of Machine Intelligence and Statistical Analysis - Evidence Lab at UBS (May 2017 - Apr 2019)

Education

MS in Machine Learning and Data Analytics from Carnegie Mellon University (2009 - 2011), Bachelors in Computer Science and Engineering from University of Kerala (2002 - 2006), Machine Learning course from Stanford University via Coursera (2015)