Laura Jesson
Director, Research
Laura Jesson has more than 25 years of experience in the financial services industry as a project manager, business analyst, and consultant. She joined Cutter Associates in 2013. Prior to Cutter, Laura spent eight years at Wells Capital Management and Evergreen Investments, where she managed investment operations projects, including those focused on outsourcing, client reporting, and trade management. She previously worked at Omgeo as a member of the Central Trade Manager (CTM) product design team. Laura started her career at Andersen Consulting (now Accenture) as a process consultant supporting a variety of projects for clients in the financial services industry. Laura earned her bachelor of arts in economics and psychology from Amherst College. She holds the Project Manager Professional (PMP) certification.
Recent research assignments and publications include the following:
- AI Use Cases in Investment Management: Infinite Possibilities
- Business Intelligence Tools
- Cutter Benchmarking: Client Reporting
- Cutter Benchmarking: Firmwide ESG Capabilities
- Cutter Benchmarking: Managing Vendors and Service Providers
- DataOps: In Theory and Practice
- Enabling Data Analytics
- ESG Data Management
- ESG: It’s a Jungle Out There ─ A Look at the Data Provider Landscape
- ESG Investing: One Vision, Many Lenses
- Execution Management Systems
- Hybrid Work Arrangements and Their Impact on Firm Culture
- Using RPA to Automate Business Processes
- The Role of the CRM for Asset Managers
This research explores how investment management firms are using data analytics technologies to inform and streamline investment processes. It covers how firms can best organize to support data analytics, the role IT and data management play, and the skill sets and tools that can help.
This research explores how investment management firms are using data analytics technologies to inform and streamline investment processes. It covers how firms can best organize to support data analytics, the role IT and data management play, and the skill sets and tools that can help.
We include an overview of the technologies that are in use and available that support data science and analytics, including overviews of solutions from the following vendors: 1010data, Alteryx, AnswerRocket, Amazon SageMaker, Azure Synapse Analytics, Bloomberg BQuant, Databricks, Dataiku, Datameer, DataRobot, Denodo, FactSet, Google Cloud Platform, Jupyter, KNIME, MemSQL, MLflow, Power BI, Qlik, RapidMiner, Refinitiv, S&P Global Market Intelligence, SAS, Snowflake, Tableau Software, and Zepl.