(11) Kevin Gower https://www.linkedin.com/in/kevingower/| LinkedIn

summary
In this conversation, David Anderson interviews Kevin Gower, exploring his extensive background in market data, the evolution of data management systems, and the future of market data engineering. They discuss the importance of understanding data management, the role of DAX, and the challenges of legacy systems. Kevin emphasizes the need for market data engineers to adapt to new technologies and the opportunities that arise from the changing landscape of market data.

takeaways

• Kevin Gower has a diverse background in market data, spanning multiple countries and roles.
• Occasional Digest started as a solution to market data issues related to public holidays.
• Advisory roles in DAX focus on changing perceptions of data management.
• DAX should be viewed as a data management tool rather than just a permissioning system.
• Understanding data usage is crucial for cost management in market data.
• The Advanced Transformation System (ATS) is underutilized in its capabilities.
• Market data engineering is shifting from plumbing to analytics and data management.
• There is a shrinking pool of market data engineers, raising concerns for the future.
• Legacy systems pose challenges, but compelling events can drive change.
• Opportunities in market data are abundant for those willing to adapt.

titles

• Navigating the Market Data Landscape with Kevin Gower
• The Evolution of Market Data Engineering

Sound Bites

• "I see those as opportunities, not threats."
• "The compelling event is what drives change."
• "Learn the products, learn the data."

DAVID ANDERSON -- https://www.linkedin.com/in/atradia/

https://www.linkedin.com/in/imcintyre/
https://www.pico.net/

Summary
In this conversation, David Anderson interviews Ian McIntyre from Pico Trading, exploring the multifaceted world of market data and trading technology. They discuss Ian's extensive background in the industry, the diverse services offered by Pico Trading, and the importance of low latency in market data. The conversation delves into the nuances of direct connectivity versus aggregated data vendors, the role of colocation, and the impact of emerging trends in fixed income markets. Ian shares insights on telecommunications, the significance of network observability through Corval, and the evolving landscape of cloud and AI in market data. The discussion also touches on operational resilience and regulatory compliance, highlighting the challenges and opportunities within the industry.

Takeaways
Ian McIntyre has over 20 years of experience in market data.
Pico Trading offers diverse services including hosting, connectivity, and trading technology.
Low latency is a critical factor in market data and trading.
Direct connectivity can reduce costs for clients compared to aggregated vendors.
Colocation provides efficiency and cost-effectiveness for trading firms.
Pico is not a member of exchanges but facilitates client access to them.
The fixed income market is seeing increased demand for low latency solutions.
Corval enhances network observability and troubleshooting for clients.
Cloud technology is beneficial for historical data but poses challenges for low latency.
Regulatory compliance, such as DORA, is becoming increasingly important for market participants.

Chapters
00:00 Introduction to Ian McIntyre and Pico Trading
03:51 Overview of Pico Trading's Services
08:12 Understanding Low Latency in Market Data
12:35 Direct Connectivity vs. Aggregated Data Vendors
18:20 Role of Colocation in Trading
18:53 Pico's Position in Exchange Membership
21:48 Trends in Market Data and Trading Technology
23:12 Emergence of Low Latency in Fixed Income Markets
29:10 Telecommunications and Direct Connectivity
30:11 Pico's Network and Extranet Solutions
33:46 Redline and Its Role in Market Data
39:03 Corval: Network Observability and Monitoring
42:47 Cloud and AI in Market Data
55:40 Operational Resilience and Regulatory Compliance

DAVID ANDERSON -- https://www.linkedin.com/in/atradia/

https://www.linkedin.com/in/elenaphilipova

https://www.lseg.com/en/data-analytics

Summary

In this conversation, David Anderson interviews Elena Philipova from LSEG Data Analytics about the evolving landscape of ESG (Environmental, Social, and Governance) data and its significance in sustainable finance. They discuss the importance of disclosures, the impact of regulations, and the role of AI in analysing ESG data. Elena emphasizes the need for standardized reporting and the strategic importance of sustainability for companies. The conversation also touches on the challenges of double materiality and the convergence of ESG data providers, highlighting the future of ESG reporting and its integration into financial services.

Takeaways

· Elena Philipova leads sustainable finance solutions at LSEG.

· The conversation around ESG has evolved significantly over the years.

· Disclosures are crucial for measuring ESG impacts and setting targets.

· Regulatory frameworks are driving the need for standardized ESG reporting.

· Companies are increasingly recognizing the strategic importance of sustainability reporting.

· Double materiality considers both the impact of companies on society and vice versa.

· AI is being leveraged to analyse ESG data more effectively.

· There is a growing convergence among ESG data providers.

· The demand for ESG data is becoming more standardized across the industry.

· ESG is maturing, not dying, despite media narratives.

Chapters

00:00 Introduction to ESG and LSEG Data Analytics

02:59 Understanding ESG: Environmental, Social, and Governance

06:02 The Role of Investors and Asset Managers in ESG

08:48 Disclosures and Regulatory Frameworks in ESG

11:49 The Impact of Regulation on Corporate Reporting

14:43 The Importance of Double Materiality in ESG Reporting

17:58 Challenges in Quantifying ESG Data

20:57 The Future of ESG Reporting Standards

23:48 The Role of AI in ESG Data Analysis

26:53 The Demand for ESG Data Among Investors

29:44 Raw Data vs. Ratings in ESG Analysis

31:24 The Role of ESG in Equity Research

35:03 The Evolution of ESG Data Disclosure

39:21 Estimating Data for Smaller Companies

40:47 Navigating the ESG Data Provider Landscape

46:41 Convergence in ESG Data Requirements

50:08 The Future of ESG Maturity

DAVID ANDERSON -- https://www.linkedin.com/in/atradia/