Video Highlights of Each Session
While data monetization becomes a crucial part of their strategy, financial institutions must address the risks associated with data privacy, the sourcing of alternative data, data leaks and security breaches, and learn how to mitigate those risks.
Given the substantial and fast-growing value of individuals' data on Google or Facebook, Robert explores the emerging question of whether the data are people’s personal property or belong to the companies that use their resources to collect, organize, analyze and rent or sell them. In this context, he examines the emerging political and policy responses to the new business model based on monetizing people’s personal information.
Learn the difference between data and information, and why this distinction is important. Gain a greater understanding of the complexities of valuing information. Take away some practical advice for considering the value of information in financial services organizations.
Our expert panelists discuss how governments and corporations go about harvesting this information, what they do with it, who they provide it to, whether it is right or wrong and even how much money is being made at the expense of your data privacy. The panel will also address concerns over data protection in a world where the rise of “Business A.I.” seems unstoppable.
Milind introduces a Quantamental investing model and synopsizes a sentiment signal. He shows how this sentiment signal performs as an overlay. He shows how his approach is effective in anticipating buyouts, which should be of much interest to activists, risk arbitrageurs and speculators on the long side as well as market participants (typically quants), looking to eliminate event risk on the short side.
Many fundamental investors are struggling to find useful insights in a world that is becoming "over-abundant" with data. Barry Hurewitz, founder of UBS Evidence Lab, shares findings from extensive research on the investment processes of top investors and the implications on the use of alt data. Slides are not available for this session.
Peter presents a real case study showcasing how a fundamental asset management firm is leveraging RavenPack technology to transform their own emails, messages, and files into trading signals to create alpha generating strategies.
He will discuss the types of questions that asset owners should be asking when speaking to managers who claim to use machine learning in their investment process, drawing on his own experience with and solutions to common pitfalls in financial data science research. Slides are not available.
Slides and video are not available for this session.
Natural language processing (NLP) is a key area of research in Artificial Intelligence (AI) that helps computers understand, interpret and manipulate human language. Will machines ever really understand language?
Swagato formulates a methodology using machine learning to sift through troves of order execution data to identify key drivers of algorithm performance and provide actionable recommendations to clients in delivering execution alpha. This approach provides the ability to focus on the important performance drivers and optimize those for further enhancing algorithm performance.
Last Updated: August 21, 2019
Robert J. Shapiro
Economist and Political Adviser
Robert J. Shapiro is former U.S. Under Secretary of Commerce for Economic Affairs and current Chairman of Sonecon, LLC. Dr. Shapiro brings broad knowledge and experience in economics and politics based on his decades of conducting analysis and providing advice to presidents including U.S. president Bill Clinton and British Prime Minister Tony Blair, senators, representatives and governors, as well as foreign leaders and senior executives at numerous Fortune 50 and Fortune 100 companies.
Quantitative Trading Entrepreneur
New York University
Gordon Ritter is 2019 Buy-side Quant of the Year, adjunct professor at New
York University and a former senior portfolio manager at systematic hedge
fund GSA Capital in New York. Gordon founded his own quantitative trading
firm; before that he was a senior portfolio manager at GSA Capital where he
designed, built, and managed statistical arbitrage strategies in multiple
geographies and asset classes, and directed research.
Javed Jussa is responsible for alpha signal, Big Data, ESG, and small-cap
research and managing the day-to-day operations of the QES team. Prior to
Wolfe Research, Javed was the US Head of Quantitative Strategy at Deutsche
Bank. Javed also has several years of experience in the investment business
with Macquarie Capital, CIBC World Markets, and IBM Consulting. Javed holds
a joint Bachelors of Electrical Engineering and Computer Science and an MBA
in finance and statistics.
Best Selling Author
Jason Bloomberg is a leading IT industry analyst, author, keynote speaker,
and globally recognized expert on multiple disruptive trends in enterprise
technology and digital transformation. He is ranked #5 on Onalytica’s list
of top Digital Transformation influencers for 2018 and #15 on Jax’s list of
top DevOps influencers for 2017, the only person to appear on both
Senior Investment Strategist
Acadian Asset Management
Joseph Simonian is a Senior Investment Strategist at Acadian Asset Management. Before joining Acadian, Joseph was the Director of Quantitative Research for the Portfolio Research and Consulting Group at Natixis Investment Managers. Prior to that, he was a principal research analyst in the Global Institutional Solutions Group at Fidelity Investments. He was also previously a vice president at J.P Morgan Asset Management and PIMCO. Joseph is a noted contributor to leading finance journals and is currently the co-editor of the Journal of Financial Data Science and Advisory Board member for the Financial Data Professional Institute.
Global Head of UBS Evidence Lab Innovations
Barry Hurewitz is the Global Head of Evidence Lab Innovations, prior to his current role, Mr. Hurewitz served as Global COO for UBS Investment Research. During Barry's tenure, UBS Research was voted the top global equity research provider in the world by Institutional Investor magazine. Before joining UBS, Mr. Hurewitz was the Global COO of Investment Research at Morgan Stanley, where he founded AlphaWise.
Feargal O'Sullivan, Chief Executive Officer, is a proven business leader with the rare ability to blend business acumen and deep technical knowledge. With over 20-years of experience at BlackRock, Reuters and NYSE, Feargal understands the needs of clients and vendors in equal measure.
RBC Capital Markets
Swagato is a quantitative researcher in the equities electronic trading team at RBC. His main responsibilities are making enhancements to the electronic trading platform and working with the electronic sales and sales trading team in improving trading performance for clients. After graduating with a PhD in Engineering from Cornell University, he was a quantitative researcher in the electronic trading teams at Citi and Bank of America Merrill Lynch. Prior to joining RBC, he was a researcher and trader at a quantitative hedge fund working on statistical arbitrage strategies and long term factor models.
Managing Director & Global Head of Investment Research Technology
Yimei Guo is a Managing Director and the Global Head of Investment Research Technology at Morgan Stanley. As a senior technology leader, she is responsible for setting strategy and delivering innovative solutions to drive business outcomes. In recent years, Yimei has been leading strategic initiatives in machine learning, data and analytics, and digital transformation. She was recently named one of IBM’s 2019 Women Leaders in AI. Throughout her 25+ year career, Yimei has built expertise spanning various business and technology areas including Investment Research, Global Capital Markets, Client Relationship Management, Content Management, and Digital Marketing.
Former Chief Product Officer at Kensho (now S&P)
Robert has more than thirty years’ experience developing and using tools, frameworks and data to solve problems in markets and investing. Previously the Chief Product Officer at Kensho, he was exposed to the challenges vendors face in supporting a varied client base, leading teams of a different culture, and managing through the before and after of a successful acquisition. Prior to this, Robert spent twenty-six years at Tudor working across a range of functions (PM, Strategist, Developer) which resulted in a well-developed understanding of the requirements demanded by large, top performing clients in a high stakes environment.
QuantZ Machine Intelligence Technologies
Milind Sharma’s 23 years of market experience span running prop desks at RBC & Deutsche Bank (Saba unit) as well as hedge funds (QuantZ) & mutual funds (MLIM). His funds have won many awards over the years including those from Morningstar, Lipper, WSJ, Battle of the Quants & BattleFin. He was also a co-founder of Quant Strategies at MLIM (now BlackRock) & was co-architect of Raven TM (derivatives risk system) at Ernst & Young. His publications have appeared in JoIM, Risk Books, Elsevier, Wiley etc. In addition to dual MS degrees he was also in the Logic/ AI PhD program at Carnegie Mellon. Other education includes Oxford, Vassar & Wharton.
Director of Equity Derivatives Structuring
Bogdan Ianev is a Director in Equity Derivatives Structuring at Credit Suisse, where he co-leads the development of volatility-based equity derivatives payoffs and systematic investment strategies for various types of investors. Before to his current role, Mr. Ianev spent 3 years structuring corporate derivative solutions for insurers also at Credit Suisse. Prior to his 12 years at Credit Suisse, Mr. Ianev worked for as an actuary and investment professional at an insurance company. He holds a Master’s degree in Mathematics of Finance from Columbia University and a Bachelor's degree in mathematics from Wabash College. Mr. Ianev is a Fellow of the Society of Actuaries, a member of the American Academy of Actuaries, a certified Financial Risk Manager and a CFA charterholder.
Jib leads Deloitte Consultings’ Analytics offerings for the Investment Management sector in the U.S. helping buy side and asset servicing clients in major technology and business transformations including data modernization, cloud enablement, data analytics, and operational improvement.
John Arabadjis, PhD
Head of Macro Strategy Products & Analytics
Bank of New York Mellon
John is the Head of Macro Strategy Products & Analytics at Bank of New York Mellon, the group responsible for developing macroeconomic models and analytics for BNYM Markets business and their clients by applying the tools of data science to vast amounts of proprietary, market and macroeconomic data sets. Before joining BNYM, John headed teams of data scientists at State Street, guiding R&D in a number of areas including behavioral finance, alternative data, multi-asset risk management, sustainable investing, private equity and quantitative investment management.
Matthew Bergerman joined the DTCC Data Products team in July of 2015 as a
Director charged with
the development of solutions in the Equity, Fixed Income, and Reference Data
space. He has
worked in the Financial Information industry for over 20 years. He has
worked on the vendor side
previously in the production of data and the development of data
applications at Thomson
Financial and Pershing.
Armando Gonzalez is President & CEO of RavenPack, the leading provider of
analytics for financial institutions. Armando is an expert in applied big
artificial intelligence technologies. He has designed systems that turn
content into structured data, primarily for financial trading applications.
is widely regarded as one of the most knowledgeable authorities on automated
and sentiment analysis.
Chief Data Scientist
Peter is a pioneer in the field of applied news analytics, bringing
data to banks and hedge funds. He has more than 15 years of experience in
quantitative finance with companies such as Standard & Poor's, Credit Suisse
First Boston, and Saxo Bank.
Tuesday, September 10th, 2019
8:30 AM - 5:00 PM New York Time
A cocktail reception will be held at the conference venue from 5:00 PM.
Convene Midtown West
117 W 46th St, NYC, USA
The closest subways are 7th Ave Station, 49 Street Station, and 47-50 Streets - Rockefeller Ctr Station.
Interested in sponsoring the event? We can work on bespoke packages, from exhibition booth to workshop or panel sponsorship. Don't miss the opportunity to have your brand exposed to 350+ guests, 85% from the buy-side.
Email email@example.com to know more.
Our past events
Big Data is the New Currency, London, May 2019
As Seen on Twitter
Great final panel at @ravenpack event in London hitting #AltDat topics around data delivery, compliance and finding alpha with @DanFurstenberg @LeighDrogen @RichBrown @PeterHafez@MichaelMayhew. #RavenPack https://t.co/KftQdJKryn— BattleFin (@battlefinmiami) April 25, 2018
Great article from @annareitman https://t.co/IjzGKtBPLB The convergence of #BigData and #MachineLearning is nothing short of a revolution and the buy-side is piling into the way that #alternativeData is fueling it, said Armando Gonzalez at last weeks @RavenPack conference pic.twitter.com/5wouELD7cw— RavenPack (@RavenPack) April 30, 2018
Glad to see @RavenPack symposium free of fluff. Lots of cameras aimed at screens to capture info.— Adam Honore (@adhonore) September 19, 2017
2 types of humans in the future society - those who serve the machines and those who teach the machines - The “Useless Class of Financial Professionals” panel at #GenerationAI— Dan Hubscher (@dhubscher) September 12, 2018
Attending RavenPack Symposium in NYC. Thought-provoking. #GenerationAI— Jim O'Brien (@UnitOOPS) September 12, 2018