FOR PYTHON QUANTS CONFERENCE

An exclusive conference brought to you by CQF Institute and The Python Quants

TicketsGet in Touch

LONDON ON FRIDAY 28. NOVEMBER 2014

The Conference for those working in Finance and using Python.

UNIQUE COMBINATION

The For Python Quants conference is the only conference in the world to focus exclusively on Python for Quantitative Finance. Do not miss it if you work in finance and use Python.

GAIN INSIGHTS

Keep up with the latest developments in Python for Finance, see the experts in action, meet people active in your field, experience practical case studies.

BUILD YOUR NETWORK

In addition to the main conference program, there is lots of room for networking, chatting, making connections and building your network in the industry.

THE CONFERENCE IN NUMBERS

Some numbers about the FOR PYTHON QUANTS conference.

For those quants believing more in numbers than just words.

225

NEW YORK CITY

At the first For Python Quants conference in New York City on 14. March 2014, 225 people attended the one-day conference.

150

LONDON

For the first conference in London on 28. November 2014, we expect 150 people in attendance. All working in Banking and Finance. All using Python.

10+

TALKS

Expect a fast paced talk schedule with more than 10 talks over the day. All from experts in their fields.

2

STRONG PARTNERS

The CQF Program and Institute are amongst the world's most renowned education bodies for Quantitative Finance. The Python Quants Group focuses exclusively on Python for Quant Finance.

CONFERENCE TICKETS

Attractive ticket prices for professionals and academics.

PROFESSIONAL
(LIVE)

GBP 395
  • For professionals working
  • in Banking, Finance or
  • Consulting.
  • Free ebook coupon for
    "Python for Finance" (O'Reilly).

ACADEMIC
(LIVE)

GBP 195
  • For those studying,
  • teaching and doing research
  • at universities.
  • Free ebook coupon for
    "Python for Finance" (O'Reilly).

PROFESSIONAL
(ONLINE)

GBP 95
  • For professionals working
  • in Banking, Finance or
  • Consulting.
  • Free ebook coupon for
    "Python for Finance" (O'Reilly).

ACADEMIC
(ONLINE)

GBP 60
  • For those studying,
  • teaching and doing research
  • at universities-
  • Free ebook coupon for
    "Python for Finance" (O'Reilly).

Package Bookings



Group Bookings

Receive a 15% discount when booking either of the following packages: both workshops, conference and one workshop, conference and both workshops. For package bookings, please use the booking form PDF.

For group bookings, email us at events@cqfinstitute.org and receive a 10% discount when registering 3+ delegates.

PYTHON WORKSHOPS

Intensive Python workshops for pandas and NumPy for professionals and academics in finance and science.

Pandas is a powerful Python library to get, manage, analyze and store financial data. The Pandas workshop shows you the basics and advanced approaches of working interactively with Pandas to make data and financial analytics a highly productive and beneficial task. Topics covered in the NumPy workshop include ndarray, dtypes, array creation, filtering, indexing, reshaping, raveling/flattening, padding, sorting, counting, ufuncs, datetime calculations, interacting with CSV/HDF5, plotting, performance, profiling, numba, cython, numexpr.

The detailed Workshop program. The workshops take place at Fitch Learning, 4 Chiswell Street, ECY1 4UP London.

PANDAS WORKSHOP

from GBP 60 (online)
from GBP 195 (live)
  • Wednesday, 26. November 2014,
  • one-day, intensive workshop,
  • from basic to advanced,
  • with Dr. Yves J. Hilpisch.
  • Free ebook coupon for
    "Python for Finance" (O'Reilly).

NUMPY WORKSHOP

from GBP 60 (online)
from GBP 195 (live)
  • Thusday, 27. November 2014,
  • one-day, intensive workshop,
  • from basic to advanced,
  • with James Powell.
  • Free ebook coupon for
    "Python for Finance" (O'Reilly).

TALKS

Conference Schedule

Expert know how you can immediately apply.

8:00 Registration and Morning Coffee
WELCOME & OPENING REMARKS
9:15 Dr. Randeep Gug
CQF Institute
Welcome and Opening Remarks
9:30 James Powell
The Python Quants
Python in Quant Finance – The US Perspective
9:45 Dr. Yves Hilpisch
The Python Quants
Python in Quant Finance – The European Perspective
HOT TOPICS TRACK
10:00 Dr. Antonio Roldao
HPC Expert
Bitcoin – Myths & Truths
This talk will discuss the following topics: most common concerns and misconceptions, concepts that were combined to enable this innovation and what new services this Technology is disrupting or introducing.
10:30 Peter Hafez
Ravenpack
Financial News Analytics
Market players can use financial news analytics to enhance returns, reduce risk or increase efficiency by systematically incorporating the effects of public information in their models or workflows.
11:00 Dave Hunter
formerly Deutsche Bank
Inside Dark Pools
The recent bestseller "Flash Boys" initiated a never before seen interest in the Dark Pools business. Dave will give a first hand look into how they really work internally.
11:30 MORNING BREAK
TECHNOLOGY TRACK
12:00 James Powell
The Python Quants
Live and Let Live – Python 2 vs 3 in Finance
Although Python 3 has been introduced already in 2008, Python 2 is still dominating in finance. James discusses reasons for this, major differences and offers an outlook on Python 3 adoption in the future.
12:30 Thomas Wiecki, PhD
Quantopian
Probabilistic Programming with Python in Quant Finance
In this talk, Thomas will briefly provide an overview of Bayesian statistics and how Probabilistic Programming frameworks like PyMC can be used to build and estimate complex statistical models.
13:00 Matt Sundquist
Plot.ly
Plotly: Collaborative IPython, R, matplotlib, and D3.js streaming financial graphing
In this talk, Matt will show how to use IPython, matplotlib, and Plotly to create and share interactive 2D, 3D, and live-streaming graphs drawn with D3.js.
13:30 LUNCH BREAK
API & SOLUTIONS TRACK
14:30 Jorge Santos
Thomson Reuters
Python-API of Thomson Reuters
In this talk, Jorge will demonstrate what the future holds for Quants using and retrieving financial data from Thomson Reuters via an upcoming, unified Python-API.
15:00 Felix Zumstein
Zoomer Analytics
xlwings – Make Excel Fly with Python
xlwings makes it easy to work interactively with Excel from an IPython Notebook session or any other Python environment on Windows and Mac. It also allows you to write Excel macros in Python rather than VBA, thereby giving you the power to rapidly create prototypes that could later be turned into web apps.
15:30 Dr. Yves Hilpisch
The Python Quants
Browser-based, Collaborative Financial & Derivatives Analytics
The Python Quant Platform allows for browser-based, collaborative financial analytics in the cloud or deployed on premise. DX Analytics is a Python library for advanced derivatives analytics.
16:00 AFTERNOON BREAK
PANEL DISCUSSION, RAFFLE, CLOSING REMARKS
16:30 Expert Group What Role will Python Play in the Future of Quant Finance?
17:10 Raffle sponsored by O'Reilly & Wiley and Closing Remarks
17:30 Conference Closing, Get Together

Venue

Fitch Ratings Building 30 North Colonnade, London, E14 5GN in Canary Wharf.

Fitch Venue

Come to Canary Wharf – a financial heart of the world.

See it on Google Maps.

MEET THE TEAM

Organizers

Your organizer team.

DON'T MISS THIS UNIQUE OPPORTUNITY.

EXPECT 100%
PYTHON
& FINANCE

GET IN TOUCH TODAY!

CONFERENCE SPONSORS

These are the conference sponsors.

Visit their Web sites for more information.

Eurex Eurex is one of the world's leading derivatives exchanges offering a broad range of international benchmark products, operating the most liquid fixed income markets in the world and featuring open and low-cost electronic access.

Fitch Fitch Learning is a global leader in financial education with over 25 years of experience in delivering specialized, technical training to the finance community.

O'Reilly O'Reilly Media spreads the knowledge of innovators through its books, online services, magazines, research, and conferences.

Plotly
Plotly is a platform for analyzing data and collaboratively making interactive 2D, 3D, and live-streaming graphs. Plotly is written in Python, and plots are rendered with D3.js, a JavaScript visualization library.
Ravenpack RavenPack is the leading provider of real-time news and sentiment analytics in finance. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content.
Thomson Reuters
Thomson Reuters is the world’s leading source of intelligent information for businesses and professionals. We combine industry expertise with innovative technology to deliver critical information to leading decision makers in the financial and risk, legal, tax and accounting, intellectual property and science and media markets, powered by the world's most trusted news organization.

Wiley Wiley is a global provider of content and content-enabled workflow solutions in areas of scientific, technical, medical, and scholarly research; professional development; and education.