Loading Events

October 16, 2023 @ 8:30 - 5:00 p.m.

Hosted by AWS
1 Principal Pl, London EC2A 2BA

Members – Free | Nonmembers – $1,000

This activity is at capacity, however you are a member who’d like to attend, please contact David Anderson to be added to the waitlist.

Please note that FISD Engineering Stream events are aimed at delegates from FISD members with a robust engineering focus and expertise. Discussions will be deeply technical and hence unsuitable for a non-technical audience. This event is open to all FISD members. However, for these specific Engineering Stream events we request that sales staff do not register. Dress code for this event is business casual.


8:30 - 9:00 a.m.

Registration & Networking

9:00 - 9:15 a.m. 

Welcome and Introduction
David Anderson, Program Director, FISD/Atradia
Simon Clerck
Goldman Sachs

9:15 - 10:15 a.m.

AI, Working with Large Language Models 
There’s a lot of talk about the recent emergence of Large Language Models (LLMs) and how they might enable breakthroughs in many areas of business, but what are the key things you need to know? Find out more about how they work, potential use cases to explore and best approaches for success.
Mandie Quartly
, AI/ML Specialist, Google Cloud

10:15 - 10:30


10:30 - 11:30 a.m.

AI Interactive Presentation: Peek Into the AI That's Part of the AI-Enabled Treasury TCA Tool
CME Group is leveraging the latest Google Cloud technologies in AI and automation to design a suite of analytics and models to help customers better understand and enhance trade execution costs. Learn more about the neural network developed by CME Group to derive the most optimal peer grouping based on trading behaviors in the US Treasury market. Delve into another set of foundational models designed to understand and reduce slippage rate using XGBoost models and learn how we utilized explainable AI: SHAP values, DICE, and LIME to ensure model outputs are fully understood to help customers action the model outputs and improved trading costs. All built on cutting edge Google Cloud technologies using ML pipelines in Vertex AI using Feature Store, Model Registry and leveraging CI/CD framework to seamlessly manage the model pipelines.

James Boudreault, Global Head of Data Science, CME Group
George Deamont, Manager of Data Science, CME Group
Mark Scannell, Financial Services Solution Architect, Google

11:30 - 12:30 p.m.

Site Reliability Engineering (SRE) Tech Talks 

SRE (Site Reliability Engineering) is a domain that focuses on applying software engineering techniques to automate IT operations tasks, with the goal of improving scalability and reliability, accelerating the detection of problems and shortening mean time to resolve. It also looks at the use of predictive analytics to anticipate capacity constraints. This part of the program looks at various aspects of implementing an effective SRE framework.

Simon Clerk, Global Head of Market Data Engineering, Goldman Sachs,
James Corcoran, Chief Growth Officer, KX
Christopher Marsh-Bourdon, VP Global Financial Markets, Oracle
Dominic Stewart, Cloud Engineering Senior Director, Oracle

12:30 - 1:30 p.m.


1:30 - 2:30 p.m.

Real-time Market Data Platform in the Cloud: Installation, setup and demonstration in AWS.

This session will demonstrate how easy cloud technology has made it for data consumers to consider adding new data providers to their environment. With the cloud you can download, install and run a market data platform in a matter of minutes that includes Feed Handlers, a Last Value Cache, Entitlement systems, Reporting, and a Web Service for streaming real-time market data to any downstream applications and to users (including mobile devices). Each step required to get the job done will be shown in this live session.

Mauricio González Evans, CEO, BCC Group

2:30 - 5:00 p.m.

AWS Analytics Workshop

AWS offers purpose-built analytics services for data movement, data storage, data lakes, big data analytics, log and streaming analytics. In this workshop, you will learn how to set up and configure a FX trading application that sends trade activity data to Amazon Kinesis, and use AWS Glue to catalogue and store the data on to Amazon S3 using Parquet. You will learn how to query and visualize this data using Amazon QuickSight and how to configure AWS Lake Formation to govern data access.

Oli Leach, Principal Solutions Architect, AWS

Simon Clerck

Global Head of Market Data Engineering, Goldman Sachs

Bio →

Oli Leach

Principal Solutions Architect, AWS

Bio →

Mauricio Gonzalez Evans


Bio →

Mark Scannell

Financial Services Solution Architect, Google

Bio →

Mandie Quartly

AI/ML Specialist, Google Cloud

Bio →

James Corcoran

Chief Growth Officer, KX

Bio →

James Boudreault

Global Head of Data Science, CME Group

Bio →

George Deamont

Manager of Data Science, CME Group

Bio →

Dominic Stewart

Cloud Engineering Senior Director, Oracle

Bio →

Christopher Marsh-Bourdon

Vice President of Engineering for the European Union Sovereign Cloud (EU OSC) and Global Financial Markets, Oracle Cloud

Bio →



Shopping Basket