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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/05/r-in-financial-services-presentation.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>At the <a target="_blank" rel="nofollow" href="http://www.rstats.nyc/">New York R Conference</a> earlier this year, my colleague Lixun Zhang gave a presentation on the challenges and opportunites financial services companies encounter when using R. In the talk, he shares some lessons learned while working with an couple of international banks that have been using SAS, but are transitioning workloads to R. The talk also includes an example of <a target="_blank" rel="nofollow" href="http://blog.revolutionanalytics.com/2017/05/real-time-scoring-with-mrs-91.html">operationalizing R code for production</a> using Microsoft R Server.</p>
<p>You can see his presentation linked below, and the <a target="_blank" rel="nofollow" href="http://blog.revolutionanalytics.com/downloads/R%20in%20Finance%20Challenges%20and%20Opportunities.pdf">slides are available here</a> (PDF).</p>
<p><iframe height="281" allowfullscreen="" width="450" src="https://www.youtube.com/embed/m7mSxR3pEcI"></iframe></p>
<p>You can find many more interesting presentations from the 2017 New York R Conference archived at the link below.</p>
<p>New York R Conference: <a target="_blank" rel="nofollow" href="http://www.rstats.nyc/2017">2017 Videos</a></p>
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