Stephen Causbrook
About Stephen Causbrook
Stephen Causbrook is a data scientist specializing in feature engineering, currently employed at Two Sigma in London. He has a background in financial services and previously worked at Investec and Russell Investments.
Work at Two Sigma
Stephen Causbrook currently holds the position of Data Scientist: Feature Engineering at Two Sigma, a role he has occupied since 2023. In this capacity, he focuses on the application of feature engineering techniques to enhance data analysis processes. His work contributes to the company's efforts in leveraging data science for financial solutions.
Previous Experience at Investec
Before joining Two Sigma, Stephen Causbrook worked at Investec as a Data Scientist from 2019 to 2023. In this role, he was involved in various data science projects, applying his skills to improve analytics within the financial services sector. Prior to this position, he served as an Analytics professional at Investec from 2017 to 2019, further developing his expertise in data-driven decision-making.
Experience at Russell Investments
Stephen Causbrook gained early experience in the finance sector while working at Russell Investments as a Hedge Fund Research analyst from 2015 to 2016. This role provided him with foundational knowledge in hedge fund operations and research methodologies, contributing to his overall understanding of financial markets.
Education and Expertise
Stephen Causbrook earned his Bachelor’s Degree in Mathematics from the University of Bath, where he studied from 2013 to 2017. His educational background provides a strong foundation for his work in data science, particularly in feature engineering. He also completed his secondary education at Watford Grammar School for Boys from 2006 to 2013.
Background in Financial Services
Stephen Causbrook has a background in financial services, which informs his approach to data science applications in this sector. His experience across various roles in finance has equipped him with the skills necessary to address complex data challenges and contribute to data-driven strategies.