2024 Engineering Stream
Are you focused on market data engineering? Roll your sleeves up and join the market data engineering workshop. Cochaired by Goldman Sachs and JP Morgan.
The Engineering Stream is open to all member categories, all are welcome but please note that these sessions will be deeply technical. Join to hear insights from fellow engineering specialists and share your thoughts and experiences on Monday and Tuesday afternoon. For further information please contact David Anderson. Note: You will need to bring your own laptop to participate in Monday afternoon’s Formula 1 centric lab.
A special thank you to our co-chairs:
Nigel Phelan, JP Morgan Chase
Jude Osa, Goldman Sachs
Michael Watrous, Goldman Sachs
| Time | Monday Sept. 16 | ||
|---|---|---|---|
| 1:45 p.m. - 2:15 p.m. |
Setting the Scene Co-chairs discuss and explain what they see as the key drivers for market data engineers at customer firms. David Anderson, FISD/Atradia Nigel Phelan, JP Morgan Chase Jude Osa, Goldman Sachs Michael Watrous, Goldman Sachs |
||
| 2:15 - 2:45 p.m. |
Driving technical and Financial Market Data Distribution Improvements, Leveraging a Hybrid On-Premise and Cloud Deployment Model
With the objective of solving for Market Data distribution on the cloud, Oracle has partnered with a strategic customer to leverage a hybrid deployment model, built on a foundation of LSEG RTDS software. In this session you’ll learn about a successful Proof of Concept for this deployment approach. You’ll also hear about the overall benefits of taking this approach from technical and market data economics perspectives. Maurits Blok, Oracle James Calise, Oracle |
||
| 2:45 - 3:15 p.m. |
Modernizing FactSet's Data Repository: A Triumphant Tale of Third Time's a Charm:
How FactSet migrated a complex "database of databases" improving time to market and performance all while mitigating costs. Making a strategic transition from MSSQL to Snowflake, sharing insights on how to move from complex legacy database technologies into modern cloud-native platforms. Explaining the nuances of a migration journey, providing practical lessons and thoughtful considerations. Kiran Pakala, FactSet |
||
| 3:15 p.m.- 4:00 p.m. |
What Do Market Data and Formula 1 Have in Common?
Join this hands-on lab to find out and see Oracle Cloud Infrastructure in action. Welcome to Race Day on Oracle Cloud! We have 20 race teams and drivers in this weekends race. You will join one of the teams as lead technical data analyst. In this workshop your team’s race day objectives will be to analyze and parse your car’s real-time telemetry data and leverage pit strategy monte carlo simulations to determine the best time for your car to pit. As a bonus you'll get to configure an analytics dashboard to visualize your pit strategy simulation. Miles Jackson, Oracle A laptop is required for this session. |
||
| Time | Tuesday Sept. 17 | ||
|---|---|---|---|
| 1:30 - 1:50 p.m. |
Day 2 Introduction |
||
| 1:50 - 2:35 p.m. |
Modernizing the Trade Lifecycle with AWS: How Cloud-Based Data is Reinventing Pre-Trade, Trade, and Post-Trade Workflows
Join AWS in a technical session to learn how customers are leveraging data within their application stack across pre-trade, trade, and post-trade workflows in the AWS Cloud. This session will dive deep into how customers have met their performance, scalability, and resilience goals using AWS services. Topics covered will include running low-latency trading systems, back testing trading strategies, managing real-time risk and analytics, and using AI and Machine Learning to accelerate time to insights and simplify back-office operations. Learn how AWS is reinventing the trading lifecycle. Alket Memushaj, AWS |
||
| 2:35 - 3:05 p.m. |
Understanding the Market Data Cloud Experience Market data in the cloud has moved beyond an emergent technology. Many firms have at least some presence in major cloud providers - used to service market data workloads. Cloud technologies, however, still pose challenges due to the nature of specific market data distribution service level requirements. At first glance things like containerization, high availability/failover and cloud expense may seem like well understood topics but when overlaid with the performance base lines and fiscal constraints under which current on-prem deployments operate, many subtleties and considerations arise. In this session we will hear about actual challenges faced when deploying market data services in the cloud and how they were managed. Thoughts on how this landscape will evolve e.g. microservice based architecture will also be presented. William Bierds, BCC Group |
||
| 3:05 - 3:50 p.m. |
Automating Data Onboarding: From Vendor to End-User Using Open Standards
This session discusses lessons learned from a collaboration between LSEG, Deontic Data, and JP Morgan Chase to demonstrate the automatic onboarding, cataloguing, permissioning and provisioning of FTSE Russell data through the bank's catalogue. We had a key question to answer: if the vendor were to publish machine-readable descriptions of the data and of its permitted usage using open standards, could the bank then provide access to the data through its catalogue and be confident of compliant use - all without human intervention? Terry Hedin, LSEG Nigel Phelan, JP Morgan Chase Ben Whittam Smith, Deontic Data |
||
| 3:50 - 4:20 p.m. |
The Future of High-Performing Data Platform Technology
Reviewing the arc of real-time data platforms and entitlements from its inception in capital markets through to the future of the hybrid cloud. Including - how to transition to a hybrid enterprise operation; and the future of real-time platform technology – all with a heavy focus on - Lessons Learned. Bob Bonaguro, MarketsIO Terry Roche, MarketsIO |
||
| 4:20 - 4:50 p.m. |
AMD Discusses - Advances in Hardware and Why It Matters for Market Data
Hardware has often been an afterthought with similar designs and architectures available. The past few years have seen huge changes with ever increasing power draw and compute increases driving a new focus on power efficiency, density while increasing compute capacity especially in the world of AI. The advent of chiplet architectures and new lower power domain specific ASICs means it is important to understand how to choose, how to lower cost and increase performance to remain competitive and handle the ever increasing market data rates and data processing. This session by AMD will provide an overview of what’s new and how you can take advantage in your future deployments and developments. Alastair Richardson, AMD |
||
| 4:50 - 5:00 p.m. |
Conclusion
|
||
Sponsors
