{"id":1889,"date":"2017-10-29T07:45:08","date_gmt":"2017-10-29T11:45:08","guid":{"rendered":"https:\/\/www.elizesolutions.com\/?page_id=1889"},"modified":"2017-10-29T07:45:08","modified_gmt":"2017-10-29T11:45:08","slug":"wall-street-robots","status":"publish","type":"page","link":"https:\/\/www.elizesolutions.com\/es\/wall-street-robots\/","title":{"rendered":"Wall street robots"},"content":{"rendered":"<style type=\"text\/css\">@import url(https:\/\/fonts.googleapis.com\/css?family=Exo+2:700);\n\nbody .mpsl-layer.mpsl-txt-header-white {\n\tfont: bold 80px\/95px 'Exo 2', sans-serif;\n    color: #fff;\n    text-align: center;\n}\n\n.ms_button_layer {\n    letter-spacing: 2px;\n    padding: 30px 58px 34px;\n\tfont: bold 30px\/34px 'Exo 2', sans-serif;\n  text-transform: uppercase;\n}<\/style><div class=\"motoslider_wrapper \" id=\"motoslider_wrapper69e779f6ec8a0\" >\r\n        <div data-motoslider style=\"height: 900px; max-height: 900px;\">\r\n    <\/div>\r\n    <div 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data-custom-class=\"\">\r\n        <\/div>\r\n        <div id=\"slides\">\r\n                            <div class=\"slide\"  data-class=\"\" data-id=\"\" data-animation=\"msSlideFade\" data-fade-animation=\"msSlideFade\" data-duration=\"2000\" data-easing=\"easeOutCirc\">\r\n                    <div class=\"slide_bg\" >\r\n                        <div  data-type=\"color\" data-color=\"rgb(255, 255, 255)\"><\/div><div ><\/div>                    <\/div>\r\n                    <div class=\"layers\">\r\n                                                            <div class=\"layer\"  data-video-type=\"html\" data-src-mp4=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/wall.mp4\" data-src-webm=\"\" data-src-ogv=\"\" data-controls=\"false\" data-width=\"2678;2678;2678;2678\" data-height=\"1473;1473;1473;1473\" data-autoplay=\"true\" data-loop=\"true\" data-mute=\"false\" data-disable-mobile=\"false\" data-type=\"video\" data-align-horizontal=\"center;center;center;center\" data-align-vertical=\"middle;middle;middle;middle\" data-offset-x=\"18;18;18;18\" data-offset-y=\"279;279;279;279\" data-animation=\"fadeIn\" data-timing-function=\"linear\" data-duration=\"1000\" data-leave-animation=\"auto\" data-leave-timing-function=\"linear\" data-leave-duration=\"1000\" data-delay=\"1000\" data-resizable=\"1\" data-dont-change-position=\"\" data-hide-width=\"\" data-font-size=\";;;\" data-line-height=\";;;\" data-text-align=\";;;\" data-class=\"mpsl-layer\"><\/div>\r\n                                                                    <div class=\"layer\"  data-type=\"html\" data-align-horizontal=\"center;center;center;center\" data-align-vertical=\"middle;middle;middle;middle\" data-offset-x=\"0;0;0;0\" data-offset-y=\"80;80;80;80\" data-animation=\"fadeIn\" data-timing-function=\"linear\" data-duration=\"1000\" data-leave-animation=\"auto\" data-leave-timing-function=\"linear\" data-leave-duration=\"1000\" data-delay=\"1000\" data-resizable=\"1\" data-dont-change-position=\"\" data-hide-width=\"\" data-font-size=\"130;130;130;130\" data-line-height=\"200;200;200;200\" data-text-align=\";;;\" data-width=\";;;\" data-white-space=\"normal;normal;normal;normal\" data-class=\"mpsl-header-white  mpsl-layer mpsl-txt-header-white\"><h1 class=\"article-title container-width\"><span class=\"text-bg\" style=\"color: #ffffff;\" data-hed=\"Robots Are Coming for These Wall Street Jobs\">Robots Are Coming for These Wall Street Jobs<\/span><\/h1><\/div>\r\n                                                    <\/div>\r\n                <\/div>\r\n                    <\/div>\r\n    <\/div>\r\n<\/div>\r\n    <p class=\"motopress-hide-script mpsl-hide-script\">\r\n        <script type=\"text\/javascript\" id='mpsl-slider-fonts-load-motoslider_wrapper69e779f6ec8a0'>\r\n            var font = document.createElement('link');\r\n            font.rel = 'stylesheet';\r\n            font.type = 'text\/css';\r\n            font.className = 'mpsl-fonts-link';\r\n            font.href = '\/\/fonts.googleapis.com\/css?family=Open+Sans%3A300';\r\n            document.getElementsByTagName('head')[0].appendChild(font);\r\n        <\/script>\r\n    <\/p>\r\n<p class=\"motopress-hide-script mpsl-hide-script\">\r\n    <script type=\"text\/javascript\" id='mpsl-fix-height-motoslider_wrapper69e779f6ec8a0'>\r\n        var aspect = 0.47293746715712;\r\n        var sliderWrapper = document.getElementById('motoslider_wrapper69e779f6ec8a0');\r\n        var outerWidth = sliderWrapper.offsetWidth;\r\n        var curHeight = outerWidth * aspect;\r\n        sliderWrapper.querySelector('[data-motoslider]').height = curHeight + 'px';\r\n    <\/script>\r\n<\/p>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<h2>Traders, prepare to adapt.<\/h2>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<p>Wall Street is entering a new era. The fraternity of bond jockeys, derivatives mavens and stock pickers who&#8217;ve long personified the industry are giving way to algorithms, and soon, artificial intelligence.<\/p>\n<p>Banks and investment funds have been tinkering for years, prompting anxiety for employees. Now, firms are rolling out machine-learning software to suggest bets, set prices and craft hedges. The tools will relieve staff of routine tasks and offer an edge to those who stay. But one day, machines may not need much help. It&#8217;s no wonder most of the jobs Goldman Sachs Group Inc.&#8217;s securities business posted online in recent months were for tech talent. Billionaire trader Steven Cohen is experimenting with automating his top money managers. Venture capitalist Marc Andreessen has said 100,000 financial workers aren\u2019t needed to keep money flowing.<\/p>\n<p>This map of trading automation is based on interviews with about a dozen senior banking and investing executives on Wall Street, many of whom focus on adopting new tech. It offers a sense of their projects &#8212; some of them just starting &#8212; that will affect traders within big firms.<\/p>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1898\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/\u0421\u043d\u0438\u043c\u043e\u043a-\u044d\u043a\u0440\u0430\u043d\u0430-2017-10-29-\u0432-15.48.13-300x54.png\" alt=\"\" width=\"1272\" height=\"229\" srcset=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/\u0421\u043d\u0438\u043c\u043e\u043a-\u044d\u043a\u0440\u0430\u043d\u0430-2017-10-29-\u0432-15.48.13-300x54.png 300w, https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/\u0421\u043d\u0438\u043c\u043e\u043a-\u044d\u043a\u0440\u0430\u043d\u0430-2017-10-29-\u0432-15.48.13.png 741w\" sizes=\"auto, (max-width: 1272px) 100vw, 1272px\" \/><\/p>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<h2>SELL SIDE \/ CREDIT<\/h2>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<section class=\"copy-block copy-width\">The art of dealing in bonds and more bespoke types of credit has proven far more challenging for computers than their much-faster takeover of stock exchanges. Infrequent or opaque trading left humans to negotiate prices, and banks must\u00a0carefully juggle holdings to minimize the burden on balance sheets. Advancements in\u00a0natural-language processing, data collection and machine learning are helping to overcome hurdles.<\/section>\n<section><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/section>\n<section class=\"container-width ai2html-width\">\n<div class=\"svg-inject xl\" data-size=\"xl\">\t\t<div class=\"juxtapose\" data-startingposition=\"50\" data-showlabels=\"1\" data-showcredits=\"1\" data-animate=\"1\" data-mode=\"horizontal\" style=\"width: ;\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/1ready.png\" data-label=\"\" data-credit=\"\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/1.png\" data-label=\"\" data-credit=\"\">\r\n\t\t<\/div><\/div>\n<div data-size=\"xl\"><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/div>\n<h2 data-size=\"xl\">SELL SIDE \/ RATES AND FX<\/h2>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<\/section>\n<div data-size=\"xl\">\n<section class=\"copy-block copy-width\">The long-running shift to electronic currency trading is getting an upgrade. Firms are tapping big data and machine learning to anticipate client demand and price swings. Software also is helping to design and manage banks&#8217; inventory of more complex rate swaps and currency derivatives.<\/section>\n<section><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/section>\n<section class=\"container-width ai2html-width\">\n<div class=\"svg-inject xl\" data-size=\"xl\">\t\t<div class=\"juxtapose\" data-startingposition=\"50\" data-showlabels=\"1\" data-showcredits=\"1\" data-animate=\"1\" data-mode=\"horizontal\" style=\"width: ;\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/2ready.png\" data-label=\"\" data-credit=\"\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/2.png\" data-label=\"\" data-credit=\"\">\r\n\t\t<\/div><\/div>\n<div data-size=\"xl\"><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/div>\n<div data-size=\"xl\">\n<h2>SELL SIDE \/ COMMODITIES AND SECURITIZATION<\/h2>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<p>From highly liquid contracts tied to assets like gold and oil to the physical commodities themselves, the diverse world of commodities doesn&#8217;t always lend itself to automation. So banks are working on cataloging trader and salesperson conversations to create profiles of clients to help better anticipate their desires.<\/p>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n\t\t<div class=\"juxtapose\" data-startingposition=\"50\" data-showlabels=\"1\" data-showcredits=\"1\" data-animate=\"1\" data-mode=\"horizontal\" style=\"width: ;\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/6ready.png\" data-label=\"\" data-credit=\"\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/6.png\" data-label=\"\" data-credit=\"\">\r\n\t\t<\/div>\n<\/div>\n<div data-size=\"xl\"><\/div>\n<div data-size=\"xl\"><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/div>\n<div data-size=\"xl\">\n<h2>SELL SIDE \/ EQUITIES<\/h2>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<p>Equities trading, which shifted decades ago to electronic platforms, is one of the first testing grounds for using artificial intelligence to execute orders.<\/p>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n\t\t<div class=\"juxtapose\" data-startingposition=\"50\" data-showlabels=\"1\" data-showcredits=\"1\" data-animate=\"1\" data-mode=\"horizontal\" style=\"width: ;\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/3ready.png\" data-label=\"\" data-credit=\"\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/3.png\" data-label=\"\" data-credit=\"\">\r\n\t\t<\/div>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n\t\t<div class=\"juxtapose\" data-startingposition=\"50\" data-showlabels=\"1\" data-showcredits=\"1\" data-animate=\"1\" data-mode=\"horizontal\" style=\"width: ;\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/5ready.png\" data-label=\"\" data-credit=\"\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/5.png\" data-label=\"\" data-credit=\"\">\r\n\t\t<\/div>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<section class=\"copy-block copy-width\">\n<h2>BUY SIDE \/ EQUITIES<\/h2>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<p>Hedge funds and asset managers are using predictive analytics for tasks such as timing stock purchases and assessing risk based on market liquidity. Computers are also digesting vast data sets &#8212; everything from car registrations to oil-drilling concessions &#8212; to help predict how stocks will perform.<\/p>\n<\/section>\n<section class=\"container-width ai2html-width\">\n<div class=\"svg-inject xl\" data-size=\"xl\"><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/div>\n<div class=\"svg-inject xl\" data-size=\"xl\">\t\t<div class=\"juxtapose\" data-startingposition=\"50\" data-showlabels=\"1\" data-showcredits=\"1\" data-animate=\"1\" data-mode=\"horizontal\" style=\"width: ;\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/6ready.png\" data-label=\"\" data-credit=\"\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/6.png\" data-label=\"\" data-credit=\"\">\r\n\t\t<\/div><\/div>\n<div class=\"svg-inject xl\" data-size=\"xl\"><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/div>\n<div class=\"svg-inject xl\" data-size=\"xl\">\n<h2>BUY SIDE \/ CREDIT<\/h2>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<p>Vast spreadsheets, such as breakdowns of mortgages packed into bonds, are nothing new for credit funds. But some are teaching computers to scan and understand a much larger universe of bond covenants, legal documents and court rulings. Still, fully automating analysis of contract and illiquid assets underpinning securities in opaque markets remains a challenge, for now.<\/p>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<\/div>\n<div class=\"svg-inject xl\" data-size=\"xl\">\t\t<div class=\"juxtapose\" data-startingposition=\"50\" data-showlabels=\"1\" data-showcredits=\"1\" data-animate=\"1\" data-mode=\"horizontal\" style=\"width: ;\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/7ready.png\" data-label=\"\" data-credit=\"\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/7.png\" data-label=\"\" data-credit=\"\">\r\n\t\t<\/div><\/div>\n<div class=\"svg-inject xl\" data-size=\"xl\"><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/div>\n<div class=\"svg-inject xl\" data-size=\"xl\">\n<h2>BUY SIDE \/ MACRO<\/h2>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<p>Firms are trying to build economists. They&#8217;re toying with natural-language processing to sift central bank commentary for clues on future monetary policy. They\u2019re also experimenting with algorithms that scour far-flung data, like oil-tanker shipments from the Middle East or satellite images of Chinese industrial sites, to forecast growth.<\/p>\n<div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div>\n<\/div>\n<div class=\"svg-inject xl\" data-size=\"xl\">\t\t<div class=\"juxtapose\" data-startingposition=\"50\" data-showlabels=\"1\" data-showcredits=\"1\" data-animate=\"1\" data-mode=\"horizontal\" style=\"width: ;\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/8ready.png\" data-label=\"\" data-credit=\"\">\r\n\t\t  <img decoding=\"async\" src=\"https:\/\/www.elizesolutions.com\/wp-content\/uploads\/2017\/10\/8.png\" data-label=\"\" data-credit=\"\">\r\n\t\t<\/div><\/div>\n<div class=\"svg-inject xl\" data-size=\"xl\"><div class=\"cherry-spacer  \" style=\"height:20px;\"><\/div><\/div>\n<div data-size=\"xl\">Source: <a href=\"https:\/\/www.bloomberg.com\/graphics\/2017-wall-street-robots\/\">Bloomberg<\/a><\/div>\n<\/section>\n<\/div>\n<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"Traders, prepare to adapt. Wall Street is entering a new era. The fraternity of bond jockeys, derivatives mavens and stock pickers who&#8217;ve long personified the industry are giving way to algorithms, and soon, artificial intelligence. Banks and investment funds have been tinkering for years, prompting anxiety for employees. Now, firms are rolling out machine-learning software","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-1889","page","type-page","status-publish","hentry"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"es","enabled_languages":["en","es","ru"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"es":{"title":false,"content":false,"excerpt":false},"ru":{"title":false,"content":true,"excerpt":false}}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Wall street robots - Elize Invest Solutions<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.elizesolutions.com\/ru\/wall-street-robots\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Wall street robots - 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