Knowledge Graphs in Financial Services - ML, Viz & UX for Connected Data

Date: 
Thursday, March 28, 2019 - 19:00
Source: 
Connected Data London
Attendees: 
65
City: 
London

Please register @ https://skillsmatter.com/meetups/12277-knowledge-graphs-in-financial-services-ml-viz-and-ux-for-connected-data to speed up your registration on the day.

We have 2 great speakers signed up for the March CDL meetup - Expero & Refinitiv (formerly Thomson Reuters Financial & Risk).

As usual doors open at 6.30 with talks starting promptly at 7. Beer & Pizzas will be available courtesy of our sponsors Expero & Refinitiv. As usual please register at https://skillsmatter.com/groups/10779-connected-data-london#overview to ensure checkin process is fast & smooth!

Talk #1
Speakers: Graham Ganssle & Chris LaCava of Expero

Title: Trading Alternative Assets using Connected Data

Company: Expero Inc. are a US-based software house specialising in Connected Data software solutions.

Description: Trading alternative assets is complicated business. In contrast to equities trading, there is a lengthy and multi-tiered compliance workflow to ensure clearance of trades. The iteration between "what-if" trade scenarios and compliance scoring is one of connected data, as a trader's strategy can be represented as a set of edges in a graph structure where nodes represent instruments in a portfolio. We can then deploy machine learning algorithms to assist a compliance officer in scoring the strategy, dramatically increasing efficiency. Furthermore, we can use modern graphML techniques to recommend best possible actions to a trader in real time, increasing her efficiency as well. Once the technical and algorithmic complexity has been tackled, the challenge of conveying this complex information to constituents in a way that is timely, comprehensible and actionable still remains.

Bios:
Graham Ganssle, PhD. Dr. G is a specialist in the field of deep learning. His education focused on digital signal processing and optimization of recursively dependent nonlinear physical systems. His expertise is currently focused on autonomous generative systems and modern methodologies for time series analysis and forecasting. Graham and his team architect and build machine learning systems to leverage the huge amount of data collected in many domains, including the trading business.

Chris LaCava. Chris has spent the past two decades defining, designing and building software for a variety of industry verticals. He has experience as a usability engineer, interaction designer, front-end developer as well as product manager for both consulting and product-oriented organizations. Chris earned his B.A. in Anthropology and Behavioral Science from Hampshire College. Prior to joining the Expero team, Chris worked to bring healthcare-related software solutions to market for Visible Health as VP of Product.

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Talk #2
Speaker: Edin Zajmovic - Director of BOLD (Big, Open, Linked, Data) Solutions at Refinitiv

Company: Refinitiv – formerly the Financial and Risk business of Thomson Reuters – is a global provider of financial markets data and infrastructure.

Title: Using Graph centrality analytics for sector rotations based on Starmine scores

Description: Investment Research is a core function within Financial Services which has seen significant innovation & disruption with MIFID II reforms & other initiatives recently. In this talk Edin will present how Refinitiv's award winning StarMine research and Big Open Linked Data platforms (BOLD) help Analysts automate Investment decisions, discover new opportunities, analyse risk and explore financial markets in new ways.

Bio:
Edin is Product owner lead for launching innovative disruptive technology & content to market collectively called Big, Open, Linked, Data (BOLD) Solutions: PermID, TR Intelligent tagging, TR Knowledge-Graph feed, and Text-feed APIs. Edin holds an MBA from Boston University.

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