London | November 19th–22nd, 2019

Data Science for Quant Finance

Learn Data Science Skills for Quant Finance

Some of Current Track Speakers

Samik Chandarana

Head of Analytics and Data Science at J.P. Morgan’s Corporate & Investment Bank

Jannes Klaas

Quantitative Researcher at the University of Oxford

Gideon Mann, PhD

Head of Data Science at Bloomberg, LP

Tom Cronin

Head of Data Science & Data Engineering at Lloyds Banking Group

See the full list here!

Some of Our Previous Speakers

Dr. Yves Hilpisch

The Python Quants

Lecturer, Author, Founder

Jeffrey Yau, PhD

Alliance Bernstein

Quantitative Modeling Expert, Chief Data Scientist

Thomas Wiecki, PhD

Quantopian

VP of Data Science, PyMC3 Developer

Michael Schmidt, PhD

DataRobot

Top 7 Data Scientists by Forbes, Chief Scientist

Andreas Mueller, PhD

Columbia University

Core Contributor to scikit-learn, Author, Lecturer

Why Attend?

Applying Data science to quantative trading is one of the hottest areas of finance. Accelerate your insights into the growing fields of Data Science and Quant Finance

Network with speakers and attendees from leading data science companies, finance firms, and quant funds. Hear directly from the experts on how to put data science to work for quant finance

Get hands-on, high-quality training in the latest data science techniques, such as machine learning and deep learning

Hear and learn from the best and brightest speakers and workshop presenters from the fields of data science, programming, and quant finance

Learn Key Data Science Skills for Quant Finance

Talks & Workshops on these topics:

Data Science Skills

Machine Learning
Deep Learning
Predictive Analytics
Text Analytics
Probabilistic Programming
Artificial Intelligence

Quant Finance Skills

R Programming
Python Programming
Algorithmic Trading
Quantative Modeling
Pricing Models
Data Wrangling

You Will Meet

Some of the world’s best data science speakers
Attendees focused on the intersection of data science and finance
The brains and authors behind today’s most popular open data science tools, topics, and languages

Chief Data Scientists
Finance Quants
Thought leaders working in data science
Data Scientists and Analysts
CEOs, CTOs, CIOs

Attendees from Banking, Insurance, Finance, Education, Business, Healthcare, and other industries
Venture Capitalists and Investors