May 04, 2017
After a successful launch in New York, we will be showcasing our new self-service data and visualization platform in London on May 4th.
Join us at The Brewery, the premier event venue in the City of London, and discover our new cloud-based analytics service that derives insights from structured and unstructured content.
Prior to the new platform demo,
senior finance professionals
will address the challenges and opportunities in using unstructured data for financial applications.
RavenPack's new service is designed to help any financial professional, from quant researchers to discretionary traders, wealth and risk managers, and even compliance officers. You can walk away with $10K worth of RavenPack data* just for attending.
Thursday May 4, 2017
3:30 pm - 5:30 pm BST
52 Chiswell Street, London
will be held at the conference venue from 5:30 pm.
Principal Engineer and Numerical Libraries Architect, Intel Corporation
Stephen is a Principal Engineer and Libraries Architect in the Programmable Solutions Group at Intel Corporation. He has over 25 years of experience in investment banking in trading risk management and quantitative research, formerly as head credit quant at JP Morgan where he developed a system for real-time credit derivatives risk. He is also a visiting professor in computational finance at Imperial College and holds a PhD in mathematical finance.
Chief Data Scientist, RavenPack
Peter Hafez is the head of data science at RavenPack, the leading provider of real-time news and social media analysis. Since joining RavenPack in 2008, he’s been a pioneer in the field of applied news analytics bringing alternative data insights to the world’s top banks and hedge funds. Peter has more than 15 years of experience in quantitative finance with companies such as Standard & Poor's, Credit Suisse First Boston, and Saxo Bank. He holds a Master's degree in Quantitative Finance from Sir John Cass Business School along with an undergraduate degree in Economics from Copenhagen University. Peter is a recognized speaker at quant finance conferences on alternative data and AI, and has given lectures at some of the world’s top academic institutions including London Business School, Courant Institute of Mathematics at NYU, and Imperial College London.
Armando Gonzalez is President & CEO of RavenPack, the leading provider of real-time news and social media analysis. Armando is an expert in the field of text analytics and applied semantic technologies. He has designed systems that turn unstructured content into structured data, primarily for financial trading applications. Armando is widely regarded as one of the most knowledgeable authorities on automated text and sentiment analysis. His commentary and research has appeared in leading business publications such as the Wall Street Journal, Financial Times, CNBC, among many others. Armando holds degrees in Economics and International Business Administration from the American University in Paris and is a recognized speaker at academic and business conferences across the globe.
is the first global magazine dedicated to automated and algorithmic trading. The magazine is a regular print and digital publication that focuses on all aspects of automation in the trading process.
is an online conference directory for algorithmic trading and quantitative finance linking to the majority of related quant conferences, symposiums, conventions and congresses.
Please use your business email. If you don't have one, please email us at email@example.com.
We will process your personal data with the purpose of managing your personal account on
RavenPack and offering our services. You can exercise your rights of access, rectification,
erasure, restriction of processing, data portability and objection by emailing us at firstname.lastname@example.org. For more information, you can
Your request has been recorded and a team member will be in touch soon.
RavenPack is introducing a multidimensional approach to news analytics that captures the evolving complexity of news, enabling traders to build more dynamic and transparent strategies.
New research using RavenPack Job Analytics to quantify tech adoption in hiring posts proves that companies hiring for novel tech skills outperform peers from an investment perspective.
Our multi-asset allocation strategy based on inflation nowcasts and RavenPack sentiment analytics outperforms the S&P 500 and stabilizes volatility. With real Sharpe ratios of up to 1.25 and a risk control approach, it delivers a compelling inflation hedge for investors.