Katherine Raney
About Katherine Raney
Katherine Raney is a Lead Product Manager at FINRA, overseeing 16 surveillance data products across four business domains. She collaborates with data scientists and leads a remote team, leveraging her extensive experience in big data and data warehousing.
Current Role at FINRA
Katherine Raney serves as the Lead Product Manager at FINRA, a position she has held since 2022. In this role, she supports 16 surveillance data products across four business domains. She leads a distributed, remote team of big data product analysts focused on Market Regulation surveillance functions. Katherine collaborates closely with Development and Quality Control Lead counterparts to ensure the effective delivery of value to stakeholders. She advocates for good data and product practices within the organization and seeks opportunities to mentor others in the Product community.
Previous Experience at FINRA
Before her current role, Katherine worked at FINRA as the Lead Big Data Analyst from 2020 to 2022. In this capacity, she performed complex big data analysis to prototype product enhancements and assess the impact of data quality issues. Her work involved developing expertise in financial market concepts and security regulations, which informed the design of scalable data products for extreme data volumes.
Professional Background
Katherine has a diverse professional background in data management and engineering. She worked at Expedia Group in various roles, including Staff Data Warehouse Engineer from 2014 to 2017 and Staff Big Data Engineer from 2017 to 2019. Prior to her tenure at Expedia, she served as a Data Warehouse Architect at Farm Credit Bank of Texas from 2009 to 2010 and as a Data Architect at Zilliant from 2010 to 2014. Her early career included a position as Sr OLAP Database Developer at Multimedia Games, Inc. from 2006 to 2008.
Education and Expertise
Katherine studied at the University of North Texas, where she graduated cum laude with a Bachelor of Arts degree. Her educational background, combined with her extensive work experience, has enabled her to develop expertise in financial market concepts, security regulations, and advanced data analysis techniques. She partners with data scientists to apply statistical learning and other advanced techniques to enhance surveillance products.