Quantopian's community platform is shutting down. Please read this post for more information and download your code.
Back to Community
NYC 1 day conference 'for Python Quants' on March 14th
Jessica Stauth
posted Mar 3, 2014

Especially in light of Meetup.com's unfortunate DDoS troubles this week, I wanted to post details about an exciting NYC quant event coming up next week (Friday March 14th) hosted by The Python Quants. Details below - hope to see our NYC metro area Quantopian community there!

On Pi-Day, March 14, 2014, the Python Quants are proud to be hosting a
conference "for Python Quants" right in the heart of New York City.

This conference is the first of its kind, focusing on the intersection
of the Python programming language and analytical and quantitative
finance. This one-day, two-track conference features ten
industry-leaders speaking on topics ranging from spreadsheets and Excel
to statistical and machine learning to algorithmic investing platforms
to Bitcoin to bootstrapping discount curves and optimizing American
Equity Option pricing!

Register at http://pythonquants.eventbrite.com/

The schedule and details are available at http://www.forpythonquants.com/

Quantopian is proud to be sponsoring this event and is offering a 20%
discount on registration with the code: quantopian-20

Speakers include:

  • keynote speaker Kirat Singh, the visionary behind Bank of America's
    Quartz platform and JP Morgan's Athena platform. Quartz alone comprises
    over ten million lines of Python code running across ten thousands of
    users' desktops in every line of business, supported by a team of over
    four thousand programmers and custom infrastructure managing over
    forty-thousand compute cores.

  • Dr Yves Hilpisch, quant and author of "Derivatives Analytics with
    Python" (http://derivatives-analytics-with-python.com/), the first book
    of its kind, covering data analysis, models, simulation, calibration,
    and hedging using open source technologies like Python, numpy, and
    pandas. Yves is also author of an upcoming O'Reilly book ("Python in
    Finance") which he will be previewing at the conference!

  • Prof Jared Lander, Columbia professor, statistician, and machine
    learning expert with consulting experience throughout the financial
    industry. Jared is the author of the Addison-Wesley publication "R for
    Everyone: Advanced Analytics and Graphics" (http://amazon.com/dp/0321888030)

  • Dr Jess Stauth, VP of Quant Strategy at Quantopian, former quant
    research analyst at StarMine, and former director of quant product
    strategy for Thomson Reuters. Quantopian is the first algorithmic
    trading platform in the browser and a robust platform for writing
    algorithms, backtesting against over a decade of stock data,
    paper-trading, and live-trading through a brokerage account. Quantopian
    also hosts a strong community of quants and developers where members can
    learn from each other and collaborate.

  • Dr Sergio Fanchiotti, credit risk specialist, quant, developer, and
    Python enthusiast. Sergio's talk will cover bootstrapping discount
    curves using Python.

  • Dr Antonio Roldao, scientific computing and FPGA expert, who will be
    speaking about the newest frontier in finance: cryptocurrencies. A
    Bitcoin expert & enthusiast, Antonio will be covering the exciting world
    of Python + Bitcoin + Finance + Analytics.

  • Dave Himrod, data analytics and optimisation expert, who manages a
    team of analysts, quants, and engineers devoted to crafting world-class
    algorithms using open-source technologies like python, pandas, and
    matplotlib.

  • Ben Lerner, CEO of DataNitro, Excel and data analysis expert. Ben's
    technologies, DataNitro and DataNitro Voyager, are the premier solutions
    for spreadsheet data management and governance and the most robust
    solutions for pushing data to Excel and scripting Excel with Python.

  • James Powell, Python expert, enthusiast, and instructor. James speaks
    at over 7 conferences every year on advanced Python topics from
    generators to CPython embeddings. He is also the proud inventor of one
    of the gnarliest Python one-liners: (None for g in g if (yield from g) and False)

Disclaimer

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

About Quantopian
Careers
Community
Events
Documentation
Academia
Lectures
Status
Facebook
Twitter
LinkedIn
YouTube
Terms of Use
Privacy Policy

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian.

In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.