Agenda

Agenda

Agenda

14:0014:05

Chairman Welcome Remarks

14:00 - 14:05

14:0514:25

Lessons learnt from the pandemic within the digitalization space

14:05 - 14:25

Cathy Bessant

Chief Operations and Technology Officer

Bank of America

Catherine P. Bessant is chief operations and technology officer at Bank of America, and is a member of the company’s executive management team. Since 2010, Bessant has led Global Technology and Operations (GT&O), delivering end-to-end technology and operating services across the company through nearly 95,000 employees and contractors in more than 35 countries.

Bessant has held a number of senior leadership roles for the company. She was president, Global Corporate Banking; president, Global Product Solutions and Global Treasury Services; chief marketing officer; president, Consumer Real Estate and Community Development Banking; national Small Business Segment executive; and president of the Florida market. She joined the bank as a corporate banker in 1982.

Bessant represents our employees on a number of important topics serving as executive sponsor for the company’s Lesbian, Gay, Bisexual and Transgender (LGBT) Pride executive board, the LGBT Ally program, and the Disability Advisory Council. She is one of OUTstanding’s top 10 Leading LGBT+ & Ally Executives.

Active in the community and region, Bessant received the 2018 Distinguished Service Award from the University of North Carolina at Charlotte. In addition, she was awarded the North Carolina Order of the Long Leaf Pine and was recognized by the Charlotte Business Journal with the Women in Business Lifetime Achievement Award. She chairs the North Tryon Vision Plan Advisory Committee.

Bessant recently led the formation of The Council on the Responsible Use of Artificial Intelligence (AI). Managed by the Harvard Kennedy School’s Belfer Center for Science and International Affairs, the council will convene the brightest minds from tech, business, academia and government.

Bessant serves on the board of directors of Zurich Insurance Group and the advisory board for the Ross School of Business at the University of Michigan. She is ranked No. 1 among the “25 Most Powerful Women in Banking” by American Banker. She also appears on Working Mother magazine’s “50 Most Powerful Working Moms” list of 2018.

14:2514:40

Scene Setting Session - Digital Transformation

14:25 - 14:40

14:4015:15

Stream

Data Boardroom

The challenge of integrating traditional datasets with alternative datasets

14:40 - 15:15

Due to regulation, the rise of passive investing, and the desire to expand into new assets and geographies to find alpha, the needs of the buy side are increasingly diverse. As a result, data providers are having to adjust their strategies. Our panelists discuss what their needs are and what they would like to see the vendor community provide. 

  • What are the challenges when it comes to blending traditional datasets with alternative datasets? 

  • How do firms keep costs in check when they take on new alternative datasets? 

  • How can vendors help buy-side firms improve their data practice? 

Stream

Technology Boardroom

Managing technology debt

14:40 - 15:15

The accumulation of technical debt adversely affects an organization’s ability to innovate, and employ new technologies, which makes it harder for to retain its market share, secure clients, and stay on track with market trends. In the session, we will explore the best practices employed by end users to manage technical debt.  

  • The risk of tech debt caused by pandemic  

  • How to manage technical debt when migrating into cloud? 

  • Due to cloud, open source, open APIs, and interoperability offerings, firms are becoming less tied to monolithic systems. What tech debt risks does this shift create? 

  • Is your firm managing the technology debt built up by years of disparate systems, siloed data stores, and many technology providers? 

  • How cloud native solutions and services can play to reduce this debt and help your firm to accelerate growth? 

 

Lou Rosato

Director – Investment Operations, Global Business Strategy and Relationship Management

BlackRock

Stream

Optimization Boardroom

M&A and what it means for users

14:40 - 15:15

With M&A activity accelerating since the beginning of the pandemic, financial institutions must pay close attention so as to avoid vendor lock-in and increased costs. 

  • What are the implications with Big Tech providers getting involved in the world of market data and trading technology M&A?  

  • We are seeing more consolidation amongst the largest market data providers, as well as the largest OMS providers. What unique challenges and opportunities? 

  • Should regulators get more involved when it comes to M&A in the capital markets? What about when it comes to overseeing the Big Tech providers? 

  • Do end users really want one-stop-shops that fill all needs, front to back? Or is it about interoperability and the ability to pick and choose the best-of-breed offerings to mix with the legacy market data providers and trading platform providers? 

Keith Lubell

Chief technology officer

BERKERY NOYES

Keith Lubell is CTO at Berkery Noyes. Since 2002, Keith has been developing an application and database of the Mergers and Acquisitions marketplace, encompassing more than 47,000 transactions and 123,000 companies in the software and information industry, including a toolset to understand business models and identify short and long-term trends. Prior to Berkery Noyes, Keith worked as Director of Application Development at Valinor – Ikon Office Solutions, where he obtained certifications as a Microsoft Certified Solution Developer, Microsoft Certified System Engineer and Microsoft Certified Trainer. 
 

Edmund Flynn

Head of market data strategy

TD Ameritrade

Prior to TD Ameritrade Ed was a Vice President at Morgan Stanley and was responsible for managing global exchange relationships and sourcing for exchange data use across the Morgan Stanley enterprise.

Ed founded The Flynndex Company in 2011 to provide market data training and consulting services. Ed developed training classes to support the FISD Financial Information Associate Professional Certification program

and collaborated with the eLearning firm "Finance Modules" to produce online market data training for the FISD FIA Certification.

Ed began his career with Interactive Data and Moody's Investors Service, then joined Fidelity Investments managing market data and investment research for the Fidelity Funds and the Fidelity enterprise.

Ed has an MBA from Babson College, a BS from the University of Vermont, is a member of the CTA Advisory Committee, the SIFMA Market Data Subcommittee and the FISD Executive Committee.

 

 

16:3017:10

Day 1: Panel Presentation on Boardroom findings

16:30 - 17:10

14:0014:20

Keynote address Day 2

14:00 - 14:20

14:2014:35

Scene Setting Session - Re-engineering Processes

14:20 - 14:35

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14:3515:10

Stream

Data Boardroom

Market Data in the Cloud

14:35 - 15:10

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The migration to cloud has brought together advantages of scalability and cost efficiency. However, the process also creates various challenges in data delivery landscape. This boardroom will look at the key challenges of procuring, operating and maintaining market data in cloud infrastructure. 

  • What are the key data management issues when firms migrating into cloud from the on-premise technology stacks? 

  • How firms map their journey to cloud, from infrastructure to the use of analytics metrics with ML/AI? 

  • Making real-time market data accessible for different business lines  
     

Rochak Lamba

Industry Architect for Capital Markets

Google

Rochak is a capital markets industry architect at Google helping link Google Cloud Platform’s products and solutions with inherent challenges faced by the industry.

Prior to Google, Rochak worked at prominent capital markets firms (Goldman Sachs, Morgan Stanley and London Stock Exchange Group) in front-office strategist roles systematising the business. Rochak holds B.E. Software from Sydney, Australia and has a Masters in quantitative finance from London Business School.

Connie Zhang

U.S. Data & Analytics Officer

Agricultural Bank of China

Connie currently is responsible for all types of data domains include risk, finance, KYC, BSA/AML. Before that she was at the Bank of China overseeing risk data (BCBS239), Financial Data (2052a) and KRI (Analytics & Reporting) as well as front-to-back financial data reconciliation. 

Connie has 23+ years’ experience in unifying financial service business, operation and technology based upon GRC requirement. Focus on Enterprise data Management & Risk Analytics Solution to streamline and transform Business Data & process (L1/L2) into practical technological solution includes Market Risk/Credit Risk/Model Risk Management/Operational & IT. She led many large scale projects involves large volume data implementation such as enterprise data management, mortgage data analytics, global core banking, credit risk forecast tool, prepayment model and online trading application by incorporating massive data analysis, prediction and reporting in both of low-latency and warehouse solution.

Before joining Bank of China, Connie was Director and Quantitative Business Manager in DTCC’s Enterprise Risk Management. She managed Quantitative Risk Management’s (QRM) analytics development projects, interfaced with internal and external stakeholders, and provided robust governance and control of QRM’s infrastructure and applications. Before that, she was Sr. manager with global management consulting practice serving major U.S. clients such as Bank of America and wells Fargo, where she also did cross-industrial information architecture projects via transforming financial data model into Parma. model for J&J and Eli Lilly.

She has Master Degree in Computer Science from City College, and MBA in Investment Management from Lubin School of Business.

Stream

Technology Boardroom

Challenges when implementing machine learning and Natural Language Processing (NLP)

14:35 - 15:10

Machine learning and NLP have become one of the mainstreamed technologies applied in various workflows within buy and sell sides. We will deep dive into the limitations and challenges in implementing, and how do firms secure buy ins from stakeholders? 

  • How are firms incorporating machine learning and natural language processing to find unique insights? 

  • With the increasing complexity of structured and un-structured datasets, how do firms make NLP implementations more productive and affordable? 

  • How do you secure buy in from different stake holders? 

  • How can capital markets adopt innovative solutions from other industries? 

  • What KPIs should firms put into place to track the performance of this new technology

Stream

Optimization Boardroom

Optimizing the back office and allocating capital to support innovation

14:35 - 15:10

Capital markets firms are more so than ever scrutinizing the bottom line to ensure they are operating as efficiently as possible, while simultaneously directing working capital to parts of the business responsible for driving innovation and generating revenue. A key aspect of that drive entails back-office ‘lift-outs’ where they hand over the support and maintenance of commoditized business functions to a third-party specialist so that they can focus their resources on those parts of the business responsible for revenue generation and carving out a competitive advantage. This session will focus on the following themes: 

  • The practical considerations and opportunities firms should be aware of when looking to streamline and optimize their back offices. 

  • How firms can make the business case for partnering with an operations/outsourcing/support/maintenance specialist, given that a solid business case needs to precede any outsourcing initiative. 

  • The prerequisites that need to be ‘baked’ into service-level agreements to ensure that what is promised is ultimately delivered. 

  • The extent to which outsourcing relationships are about change management and how firms can prepare themselves culturally for such significant shifts in their day-to-day operating models. 

Victor Anderson

Global content director

WatersTechnology

 

 

Emmanuel Richard

Group Vice President & General Manager, North East region

Rimini Street

Emmanuel Richard is a seasoned software executive with over 20 years of experience building and running field operations in America and in International theaters.

At Rimini Street, he serves as Group Vice President and General Manager, responsible for overseeing sales and service delivery for the Eastern Region in North America.

Most recently Mr. Richard built the US East Coast operations from the ground up at Kyvos Insights, a pre-venture startup disrupting the Cloud Analytics market. Prior to that, he spent 9 years at MicroStrategy, the largest independent Business Intelligence vendor, where he operated as General Manager for worldwide Indirect Sales for 4 years, after co-developing the GM model in EMEA for 5 years.

Mr. Richard spent the first decade of his career as a sales executive at Microsoft, Borland Software, and Quest Software.

He holds a diploma of arts and history from Université Paris-Sorbonne.

16:3017:15

Day 2: Panel Presentation on Boardroom findings

16:30 - 17:10

Connie Zhang

U.S. Data & Analytics Officer

Agricultural Bank of China

Connie currently is responsible for all types of data domains include risk, finance, KYC, BSA/AML. Before that she was at the Bank of China overseeing risk data (BCBS239), Financial Data (2052a) and KRI (Analytics & Reporting) as well as front-to-back financial data reconciliation. 

Connie has 23+ years’ experience in unifying financial service business, operation and technology based upon GRC requirement. Focus on Enterprise data Management & Risk Analytics Solution to streamline and transform Business Data & process (L1/L2) into practical technological solution includes Market Risk/Credit Risk/Model Risk Management/Operational & IT. She led many large scale projects involves large volume data implementation such as enterprise data management, mortgage data analytics, global core banking, credit risk forecast tool, prepayment model and online trading application by incorporating massive data analysis, prediction and reporting in both of low-latency and warehouse solution.

Before joining Bank of China, Connie was Director and Quantitative Business Manager in DTCC’s Enterprise Risk Management. She managed Quantitative Risk Management’s (QRM) analytics development projects, interfaced with internal and external stakeholders, and provided robust governance and control of QRM’s infrastructure and applications. Before that, she was Sr. manager with global management consulting practice serving major U.S. clients such as Bank of America and wells Fargo, where she also did cross-industrial information architecture projects via transforming financial data model into Parma. model for J&J and Eli Lilly.

She has Master Degree in Computer Science from City College, and MBA in Investment Management from Lubin School of Business.

14:0014:20

Keynote address Day 3

14:00 - 14:20

14:2014:35

Scene Setting Session - The Future of…

14:20 - 14:35

14:3515:10

Stream

Data Boardroom

Data driven organization and its impacts on operational processes

14:35 - 15:10

Market data is typically a financial firm’s third-largest cost, behind people and building costs, with annual budgets stretching into hundreds of millions of dollars. But with fees for basic exchange and broker data rising, budget management is a major challenge for market data professionals.  

  • How are firms working to better manage their data costs? 

  • When it comes to sourcing, negotiating, licensing, and managing a firm’s data inventory, are the new tools and techniques being used to make firms more efficient? 

  • Optimising the operating model based on the data architecture: how are firms working to better manage their data costs? 

Stream

Technology Boardroom

AI/ML: Are we fully aware of AI’s ethical implications?

14:35 - 15:10

As more firms experiment with—and even incorporate—AI & machine learning into their investment processes, trading platforms, and analytics tools, questions around transparency are starting to be raised by regulators around the globe. This boardroom brings together industry participants and policy experts to examine some of these concerns. 

  • How should capital markets firms deal with the lack of trustworthiness and reliability of AI models over time? New (and unconscious) biases can occur, how do firms ensure the models aren’t picking those up over time? 

  • How do firms embed ethics into their data management models, and hence, use of AI models/algos/etc? 

  • Who is responsible for overseeing explainability when it comes to AI development? 

  • Emerging frameworks for potential regulation of AI/ML systems – implications for FIs? 

  • How explainable AI can help from a risk management perspective? 

Stream

Optimization Boardroom

The future of working: How to best support your business and operations models?

14:35 - 15:10

As firms progressing into hybrid working models, there are rising conversations about how to manage the manage employees in the post-pandemic world, and how should we optimise the operating models to support business strategies? 

  • The challenges in adopting hybrid working model and the impacts on firms’ operational strategies  

  • How do firm collaborate the same way in a world where more employees work remotely? 

  • What have firms done to ensure that employees stay engaged and collaborate? 

  • What skillsets are needed for future talent in the world of digital & automation? 

David Sharratt

China chief operating officer

Commerzbank AG

David has unique experience spanning the full trade lifecycle, execution to ledger. An experienced C-suite executive, David has significant exposure reporting to and working alongside CEOs and other C-suite focussing on strategic direction and operation of firms.

His geographic experience spans London, New York, Hong Kong, Singapore, Moscow and Johannesburg having held senior executive positions in ask these locations. His experience spans established and emerging markets.

Currently based in Singapore he is looking at opportunities to work with businesses focussed on growth and geographical expansion where his strategy and build experience can be leveraged.

16:3017:10

Day 3: Panel Presentation on Boardroom findings

16:30 - 17:10