Bloomberg Tech & Automation Conversations | Bloomberg Professional Services
Webinar

Bloomberg Tech & Automation Conversations

Looking for the latest insights on how technology can make an impact in your organisation? Join our leading tech experts and panelists to explore the future of the trading floor, how to use data to improve sell side decision-making and the application of quantitative methods to power investment strategies. This event is articulated around three panels discussion, including a Q&A session at the end of each panel.

Welcome remarks
Shawn Edwards, Chief Technology Officer, Bloomberg L.P

Session one: The trading floor of the future 
15:00 – 15:30 CET / 14:00 – 14:30 GMT

How to reap the benefits of AI/ML and automation on the buy side?

Across financial markets, Trading has been a first adopter of technology, with asset classes such as equities and listed options being now close to fully automated. In this session, we will explore the new levels of innovation, the opportunities & challenges automation presents, and structural implications on the buy-side trading floor.

Panel
Frédéric Pons, Deputy Head of Equity Trading, Amundi
Ines de Tremiolles, Global Head of Trading, BNP Paribas Asset Management
Moderator:
Ravi Sawhney, Head of Trade Automation & Analytics, Bloomberg L.P.


Session two: The tech-enhanced market practitioner 
15:45 – 16:15 CET / 14:45 – 15:15 GMT

How to unlock the value of data to improve decision making on the sell side

From sales & trading to research, the value of data is an instrumental aspect of the decision making process. In the sell-side, the appetite to use machine learning and artificial intelligence to power data-driven decision making is strong yet the technology is still at an early stage. In this session, we discuss how market experts approach the emergence of AI/ML, the role data has in implementing new workflows and the next frontiers of innovation with new technologies.

Panel
Aizaz Akhtar, Executive Director of Credit Algo Strategy, Morgan Stanley
Alberto Lopez Rueda, Head of EMEA Data-Driven Equity Research, J.P Morgan
Moderator:
Robert Simek, Head of Sell Side Analytics, Bloomberg L.P.


Session three: Applying quantitative methods to power investment strategies with data science
16:30 – 17:00 CET / 15:30 – 16:00 GMT

A conversation for tech and data specialists.

Quantitative investing and data science go hand in hand. Although quantitative investing is not new, it has evolved a lot. In this panel, we describe the different ways we use data in powering investment strategies, evaluate the up and coming quantitative methods, and assess the systematic risks linked to these strategies.

Panel
Thomas Raffinot, Lead Data Scientist, AXA Investment Managers
Thierry Foucault, HEC Foundation Chaired Professor of Finance, HEC Paris
Moderator
Bruno Dupire, Head of Quantitative Research, Bloomberg L.P.


Closing remarks 
Annick Aboya, Head of France Enterprise Sales for Sell Side and Insurance, Bloomberg L.P.

Speakers

Shawn Edwards

Chief Technology Officer

Bloomberg L.P.

Shawn Edwards is Bloomberg’s Chief Technology Officer. Based in New York, he oversees the development of Bloomberg’s global technology strategy, including enhancements to the company’s core business, the Bloomberg Professional service. Prior to joining Bloomberg in 2003, Shawn worked for Bear Stearns & Co. where he was a managing director in the company’s fixed income trading group. He has also held positions at Mentor Graphics and IBM. Shawn received a Bachelor’s of Science and a Master’s degree from the Fu Foundation School of Engineering and Applied Science at Columbia University.

Bruno Dupire

Head of Quantitative Research

Bloomberg

Bruno Dupire is head of Quantitative Research at Bloomberg, which he joined in 2004. Prior to this assignment in New York, he has headed the Derivatives Research teams at Société Générale, Paribas Capital Markets and Nikko Financial Products where he was a Managing Director. He is best known for having pioneered the widely used Local Volatility model (simplest extension of the Black-Scholes-Merton model to fit all option prices) in 1993 and the Functional Itô Calculus (framework for path dependency) in 2009. He is a Fellow and Adjunct Professor at NYU and he is in the Risk magazine “Hall of Fame”. He is the recipient of the 2006 “Cutting edge research” award of Wilmott Magazine and of the Risk Magazine “Lifetime Achievement” award for 2008. He runs and organizes the Bloomberg Quant (BBQ) seminar, the largest monthly event of this kind.

Frederic Pons

Deputy Head of Equity Trading

Amundi

Frédéric Pons is the Deputy Head of Equity Trading since 2010. Prior to joining Amundi, he worked as Equity & Derivatives Head of dealing at Société Générale Asset Management (SGAM) since 2000, after a 2-year experience as an equity dealer at Banque de Neuflize Schlumberger Mallet (NSM). Frédéric Pons holds a Degree from Lincoln International Business School. He is also a member of the French Society of Financial Analysts (SFAF).

Ines de Tremiolles

Global Head of Trading

BNP Paribas Asset Management

Ines de Trémiolles is responsible for Global Trading within the Global Trading Function at BNP Paribas Asset Management. Ines is based in Paris and is responsible for managing a team of 31 traders over Europe, Asia and the US. Ines started her career in 1990 at Citibank in Spain , she subsequently moved to New York to study at Columbia Business School where she got her MBA in 1994. Upon graduation Ines joined Lehman Brothers in New York as Emerging Markets Fixed Income Sales.

Ravi Sawhney

Head of Trade Automation & Analytics

Bloomberg L.P.

Ravi Sawhney is responsible for developing Bloomberg's Trade Automation and Analytics business. Prior to Bloomberg, Ravi spent time at Accenture, ION Trading and JPMorgan Chase. He is a graduate of the London School of Economics.

Aizaz Akhtar

Executive Director of Credit Algo Strategy

Morgan Stanley

Aizaz Akhtar is an Executive Director in Morgan Stanley's Fixed Income Division based in London. He originally joined the Firm in 2010 to lead the quantitative strategy team for the credit trading business in Asia. In 2014, Aizaz left the firm to work in public sector in Pakistan focusing on health care and education. He re-joined in 2016 and has been focussed on Algo & Portfolio trading, leading the quant strategy team for credit in EMEA. Aizaz graduated with a Master’s degree in Electrical Engineering from Columbia University in New York.

Alberto Lopez Rueda

Head of EMEA Data Driven Equity Research

J.P. Morgan

Alberto is Head of EMEA Data-Driven at J.P. Morgan Equity Research where he leads the integration of alternative data and data science into the discretionary investment process focusing on fundamental insights. Previously, Alberto spent ten years as a research analyst at J.P. Morgan in various positions including Head of European Chemicals and Lead analyst in Tobacco & Ingredients. Prior to that Alberto spent four years at J.P. Morgan M&A practice covering Consumer companies. Alberto holds a double degree in Business Administration and Primary Research from ICADE in Spain.

Robert Simek

Head of Sell-side Analytics

Bloomberg L.P.

Robert Simek is responsible for developing the Enterprise Analytics business for the Sell-side, which include predictive analytics leveraging AI. He is a graduate of Columbia University.

Thierry Foucault

HEC Foundation Chaired Professor of Finance

HEC Paris

Thierry Foucault is HEC Foundation Chaired Professor of Finance at HEC, Paris and a research fellow of the Centre for Economic Policy (CEPR). His research focuses on the liquidity of financial markets, their industrial organization, and their effect on the real economy. He has received, in 2021, an Advanced European Research Council (ERC) grant for conducting research on the effects of big data and artificial intelligence on financial markets. His research is published in leading scholarly journals in financial economics. He is co-managing editor of the Journal of Financial and Quantitative Analysis and an Associate editor of the Journal of Finance. He also serves on the scientific committees of the Autorité des Marchés Financiers (AMF) and the Norwegian Finance Initiative (NFI). He co-authored “Market Liquidity: Theory, Evidence, and Policy” published by Oxford University Press.

Thomas Raffinot

Lead Data Scientist

AXA Investment Managers

Thomas Raffinot oversees AXA-IM internal quant platform, which aims at illustrating and analyzing complex market dynamics to improve the investment decision process. He has 18 years of experience in the industry, both as a strategist and a data scientist. He focuses on research and developing global macro investments. He writes extensively on monetary policy, asset allocation issues, econometrics and risks management. He has written several articles published in academic journals. He received a master’s degree in statistics from ENSAI (a prestigious higher education establishment in France) and a PhD in economics from Paris Dauphine University.

Annick Aboya

Head of France Enterprise Sales for Sell Side and Insurance

Bloomberg L.P.

Annick Aboya is Head of France Enterprise Sales for Sell Side and Insurance at Bloomberg. Her team provides holistic enterprise solutions around data, analytics and systems, helping customers to address a broad range of challenges from efficiency and cost optimization to regulatory agility. Over the past year, Annick was part of Advocacy focus group in EMEA around Automation and Artificial Intelligence (AI) helping financial institutions to drive automation and efficiency using cutting edge technologies. Annick joined Bloomberg 4 years ago and started my career at BNP Paribas, as an Equity Derivatives Sales and worked in France, Belgium, the UK and South Africa. Thanks to increasing prominence of automation in Capital Markets and Front Office systems, she later joined Accenture Management Consulting as a Senior Consultant, helping to design target operating models around Robotic Process Automation (RPA) and Artificial Intelligence (AI).

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