Daniel Rigney, PhD
About Daniel Rigney, PhD
Daniel Rigney, PhD, is a Quantitative Analyst currently working at Immutable and serving as an Advisor at Quantflo, both since 2022. He holds a PhD in Finance from the University of Sydney and has extensive experience in the financial services industry, specializing in quantitative research and data analysis.
Work at Immutable X
Daniel Rigney serves as a Quantitative Analyst at Immutable X, a role he has held since 2022. He is based in Brisbane, Queensland, Australia. In this position, he applies his expertise in quantitative analysis to support the company's operations and initiatives. His work involves managing and analyzing data to inform decision-making processes within the organization.
Current Role at Quantflo
In addition to his position at Immutable X, Daniel Rigney has been an Advisor at Quantflo since 2022. His advisory role leverages his extensive knowledge in quantitative analysis and finance, contributing to the development of strategies and solutions within the firm.
Education and Expertise
Daniel Rigney earned a Doctor of Philosophy (Ph.D.) in Finance from the University of Sydney, where he studied from 2013 to 2018. He also holds a Master of Financial Mathematics from The University of Queensland, completed in 2022. His undergraduate studies culminated in a Bachelor of Mathematics and Finance with First Class Honours from the University of Wollongong, which he completed in 2012. His educational background equips him with strong analytical skills and a solid foundation in financial principles.
Professional Background
Daniel Rigney has a robust professional history in the financial services industry. He worked as a Quantitative Analyst at QSuper Group from 2018 to 2022, focusing on portfolio management and equities trading. Prior to that, he was a Quantitative Strategist at Macquarie Group from 2014 to 2018. His early career included a role as a PhD Researcher at NASDAQ in 2013, where he gained valuable experience in quantitative research.
Technical Skills
Daniel Rigney possesses strong skills in managing and analyzing databases, which are essential for equity research. He is proficient in Python and R programming languages, both of which are crucial for quantitative research and data analysis. His technical expertise supports his work in developing quantitative models and conducting complex analyses in the financial sector.