Learn and celebrate Julia at our events

Julia Day in New York on Nov 30th

01 Nov 2016 | Julia Computing

Julia Computing invites you to the first Julia Day in New York. This event will introduce you to Julia, the easy-to-learn high-performance mathematical programming language that is taking the finance industry by storm.

Julia Day takes place on Wednesday, November 30th from 3:30 PM to 6:30 PM followed by drinks, dinner and networking. The venue for this event is at Fitch Learning Center, 3rd Floor, 55 Broad St, New York, NY 10004.

Come find out how quants, traders and data scientists from hedge funds, investment banks, and across financial services industry worldwide are using Julia to gain a mathematical computing advantage over their competitors by processing more data up to 1,000x faster than before. Also learn why Nobel Laureate Thomas J. Sargent calls Julia a ‘great tool’ for building high-dimensional macroeconomic models. See how Julia enables innovation in the fintech and regtech sectors, helping companies and regulators keep ahead of a fast changing market.

There will be product demos, benchmarks, customer stories and use cases in Finance and Insurance, especially around trading, risk analytics and asset management among others.

Agenda

Topic Speaker Time
Julia Computing - Company overview and vision Dr. Viral Shah, CEO, Julia Computing and Co-Creator of Julia language 3:30 PM
Large Scale Stochastic Simulation using Julia David Weiss, Managing Director, Conning 3:45 PM
JuliaFin (Part 1) - Scalable Time series analytics Dr. Jeff Bezanson, CTO, Julia Computing and Co-Creator of Julia language 4:00 PM
Julia at BestX - Powering Financial Analytics Aman Thind, Co-Founder and CTO, BestX 4:20 PM
Break   4:35 PM
JuliaFin (Part 2) - Domain specific language for financial contracts Avik Sengupta, VP Engineering, and Keno Fischer, CTO, Julia Computing 4:45 PM
Teaching Finance using Julia and JuMP Francisco Azeredo, University of Chicago 5:15 PM
Julia at NY Fed Erica Moszkowski, NY Fed 5:30 PM
Closing Remarks Deepak Vinchhi, COO, Julia Computing 5:45 PM
Drinks, dinner and networking   5:50 PM

We regret to announce that this event is now booked to capacity. Please consider joining the waitlist below, in case any places open up due to cancellations. Otherwise, please accept our apologies. We hope to see you at a future event, but in the meantime, please contact us if you have any questions.

About Julia

Julia is the simplest, fastest and most powerful numerical computing language available today. Julia combines the functionality of quantitative environments such as Python and R, with the speed of production programming languages like Java and C++ to solve big data and analytics problems. Julia delivers dramatic improvements in simplicity, speed, capacity, and productivity for data scientists, algorithmic traders, quants, scientists, and engineers who need to solve massive computational problems quickly and accurately.

Julia offers an unbeatable combination of simplicity and productivity with speed that is thousands of times faster than other mathematical, scientific and statistical computing languages.

Partners and users include: Intel, The Federal Reserve Bank of New York, Lincoln Laboratory (MIT), The Moore Foundation and a number of private sector finance and industry leaders, including several of the world’s leading hedge funds, investment banks, asset managers and insurers.

About Julia Computing, Inc.

Julia Computing, Inc. was founded in 2015 to develop products around Julia such as JuliaFin. These products help financial firms leverage the 1,000x improvement in speed and productivity that Julia provides for trading, risk analytics, asset management, macroeconomic modeling and other areas. Products of Julia Computing make Julia easy to develop, easy to deploy and easy to scale.

Recent Events

Julia in Finance Seminar in London on the 16th of March
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Julia Computing, Inc. was founded with a mission to make Julia easy to use, easy to deploy and easy to scale. We operate out of Boston, New York, London and Bangalore and serve customers worldwide.
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