Leveraging Liquidnet’s AI-driven Investment Analytics in the Charles River Trading Blotter
Join Charles River's Explore & Learn webinar series. Discover new ways to leverage the Charles River Investment Management Solution as our product experts discuss and demonstrate the latest product capabilities in collaboration with our partners.
More data than ever is available to buy-side traders. But transforming large volumes of structured and unstructured data into actionable insights in real-time is challenging. Making that information accessible directly from the trading blotter and visually intuitive to traders likewise requires a number of critical design and implementation decisions.
Join Charles River product experts Maria White and Jay Hinton, along with Liquidnet’s Tom Doris as we discuss and demonstrate how Charles River’s partnership with Liquidnet Investment Analytics provides traders with personalised alerts, analytics, and content designed to help drive better informed trading decisions across the trade lifecycle.
Webinar highlights include:
- Our order/execution product strategy: partnerships, interoperability and automation
- Uncovering hidden insights using Liquidnet’s AI-driven Investment Analytics
- Trading workflows: leveraging pre-, intra- and post-trade analytics from the OEMS to enhance decision making
- Product roadmap and our trade analytics vision
The webinar is a 35 minute presentation and discussion followed by Q&A.
Date and Time:
Date: May 19, 2021
Time: 10am U.S. EDT / 3pm U.K. BST (45 Minutes)
Location: Your Desk (computer audio only)
Director, Product Management
Jay covers Equity Trading, and is responsible for multi-asset core order management, equity trading, EMS, exchange traded derivatives, FX trading, and cash management workflows within the Charles River IMS. Prior to joining Charles River, Jay held leadership positions for financial services firms and technology vendors in product, integrations, client support, and trading roles. Jay holds an MBA in Strategy and Finance from the Drucker School at Claremont Graduate University
Chief Data Scientist, Liquidnet
As Chief Data Scientist at Liquidnet, Tom leads the R&D program exploring the application of AI, machine learning and alternative data to the investment process. This effort is focused on developing products that enhance performance and efficiency of active managers and traders. Tom holds a Ph.D. in computer science for work in computational neuroscience.
Product Manager, Charles River
Maria is the Product Manager for the Equity Trading and EMS Core teams at Charles River. Prior to joining Charles River, Maria served as a Product Manager at BlockCross Holdings LLC, TD Ameritrade, and Linedata Services. Maria holds a Master of Science Degree in Applied Mathematics from WPI and a Bachelor of Science Degree in Mathematics from Bates College.