Data Science in 30 Minutes: Building and Testing a Complete Trading Strategy Using Open Source Tools

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About the Speakers

Dr. Jessica Stauth is the VP of Quant Strategy at Quantopian, a fintech startup based in Boston. Jess has a PhD in Biophysics from UC Berkeley. She began her career in quantitative finance in 2008 as a research analyst at the StarMine Corporation in San Francisco. Following an acquisition by Thomson Reuters, Jess moved into the role of Director of Quant Strategy. At Quantopian, Jess runs a research team of analysts and data scientists tasked with identifying promising trading strategies built by Quantopian's online community of 90,000+ members from 180+ countries around the world.

Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners. Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves.

About The Data Incubator

[The Data Incubator] (https://www.thedataincubator.com/) is a data science education company based in NYC, DC, and SF with both corporate training and recruiting services. For [data science corporate training] (https://www.thedataincubator.com/training.html), we offer customized, in-house training solutions in data and analytics. For [data science hiring] (https://www.thedataincubator.com/hiring.html), we run a [free 8 week fellowship] (https://www.thedataincubator.com/fellowship.html) training PhDs to become data scientists. The fellowship selects 2% of its 2000+ quarterly applicants and is free for Fellows. Hiring companies (including EBay, Capital One, Pfizer) pay a recruiting fee only if they successfully hire. You can read about us on [Harvard Business Review] (https://hbr.org/2014/08/the-question-to-ask-before-hiring-a-data-scientist/), [VentureBeat] (http://venturebeat.com/2014/04/15/ny-gets-new-bootcamp-for-data-scientists-its-free-but-harder-to-get-into-than-harvard/), or [The Next Web] (http://thenextweb.com/insider/2015/07/02/data-incubator-opens-a-west-coast-campus-to-groom-the-next-generation-of-data-scientists/), or read about our alumni at [LinkedIn] (http://blog.thedataincubator.com/2016/05/alumni-spotlight-xia-hong/), [Palantir] (http://blog.thedataincubator.com/2015/02/moving-to-palantir-from-mathematics-alumni-spotlight-on-justin-bush/), or the [NYTimes] (http://blog.thedataincubator.com/2015/02/alumni-spotlight-dorian-goldman-using-a-pure-math-background-to-solve-problems-for-the-new-york-times/).

About Quantopian

Quantopian is a crowd-sourced quantitative investment firm. We inspire talented people from around the world to write investment algorithms.

Quantopian provides capital, data, a research environment, and a development platform to algorithm authors (quants). We offer license agreements for algorithms that fit our investment strategy, and the licensing authors are paid based on their strategy's individual performance. We provide everything a quant needs to create a strategy and profit from it.

Quantopian's community has doubled year-over-year for the last three years and now numbers over 100,000 members. Quantopian’s members include finance professionals, scientists, developers, and students from more than 180 countries from around the world. The members collaborate in our forums and in person at regional meetups, workshops, and QuantCon, Quantopian's flagship annual event.

Future Events

For information on upcoming events, including other Data Science in 30 Minutes events, visit our [Eventbrite] (http://www.eventbrite.com/o/the-data-incubator-8342209540).