{"id":24252,"date":"2025-05-14T08:12:13","date_gmt":"2025-05-14T06:12:13","guid":{"rendered":"https:\/\/news.save.ch\/?p=24252"},"modified":"2025-05-14T08:12:13","modified_gmt":"2025-05-14T06:12:13","slug":"wirtschaftskriminelle-meist-maennlich-36-bis-55-jahre-alt-und-langjaehrige-mitarbeiter","status":null,"type":"post","link":"https:\/\/news.save.ch\/en\/wirtschaftskriminelle-meist-maennlich-36-bis-55-jahre-alt-und-langjaehrige-mitarbeiter\/","title":{"rendered":"White-collar criminals: mostly male, 36 to 55 years old and long-term employees"},"content":{"rendered":"<div class=\"section container responsivegrid content-max-width-small\" data-component-initialized=\"true\">\n<div id=\"section-81ef0df848\" class=\"cmp-container\">\n<div class=\"columncontrol utils-padding-top--medium utils-padding-bottom--medium utils-padding-horizontal--base utils-xlg-padding-horizontal--medium\">\n<div class=\"cmp-column-control\">\n<div class=\"cmp-column-control__row cmp-column-control__row--oneEven\">\n<div class=\"cmp-column-control__col\">\n<div id=\"column-073f713f60\" class=\"cmp-container\">\n<div class=\"text\">\n<div id=\"text-a9dee932a9\" class=\"cmp-text\" data-cmp-data-layer=\"{&quot;text-a9dee932a9&quot;:{&quot;repo:modifyDate&quot;:&quot;2025-05-12T05:55:20Z&quot;,&quot;@type&quot;:&quot;kpmg\/components\/content\/text&quot;}}\">\n<figure id=\"attachment_24253\" aria-describedby=\"caption-attachment-24253\" style=\"width: 1000px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/news.save.ch\/en\/wirtschaftskriminelle-meist-maennlich-36-bis-55-jahre-alt-und-langjaehrige-mitarbeiter\/businessman-putting-money-in-his-pocket\/\" rel=\"attachment wp-att-24253\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-24253\" src=\"https:\/\/news.save.ch\/wp-content\/uploads\/2025\/05\/Depositphotos_359223934_S.jpg\" alt=\"\" width=\"1000\" height=\"667\" srcset=\"https:\/\/news.save.ch\/wp-content\/uploads\/2025\/05\/Depositphotos_359223934_S.jpg 1000w, https:\/\/news.save.ch\/wp-content\/uploads\/2025\/05\/Depositphotos_359223934_S-680x454.jpg 680w, https:\/\/news.save.ch\/wp-content\/uploads\/2025\/05\/Depositphotos_359223934_S-768x512.jpg 768w, https:\/\/news.save.ch\/wp-content\/uploads\/2025\/05\/Depositphotos_359223934_S-18x12.jpg 18w, https:\/\/news.save.ch\/wp-content\/uploads\/2025\/05\/Depositphotos_359223934_S-375x250.jpg 375w, https:\/\/news.save.ch\/wp-content\/uploads\/2025\/05\/Depositphotos_359223934_S-525x350.jpg 525w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/a><figcaption id=\"caption-attachment-24253\" class=\"wp-caption-text\">Picture: Depositphotos\/Tiko0305<\/figcaption><\/figure>\n<ul>\n<li>The typical white-collar criminal is male, between 36 and 55 years old and has been with the company for more than six years. Only 8% are lone offenders.<\/li>\n<\/ul>\n<ul>\n<li>46 % of fraud cases were committed without technology - cyberattacks, AI and cryptocurrencies have only played a minor role so far.<\/li>\n<\/ul>\n<ul>\n<li>The most common offenses were embezzlement of assets, forgery and theft.<\/li>\n<\/ul>\n<ul>\n<li>One in five cases of fraud involved an offense amount of more than 5 million US dollars.<\/li>\n<\/ul>\n<ul>\n<li>Internal controls are crucial for the prevention and detection of fraud.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"text utils-padding-vertical--x-small utils-xlg-padding-vertical--base\">\n<div id=\"text-bcbd2e55bf\" class=\"cmp-text\" data-cmp-data-layer=\"{&quot;text-bcbd2e55bf&quot;:{&quot;repo:modifyDate&quot;:&quot;2025-05-09T06:34:55Z&quot;,&quot;@type&quot;:&quot;kpmg\/components\/content\/text&quot;}}\">\n<p>The current KPMG study\u00a0<i>The Enemy Within - Profiling the Corporate Fraudster<\/i> shows that despite different cases of white-collar crime, some common characteristics can be identified among the perpetrators.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"section container responsivegrid content-max-width-small\" data-component-initialized=\"true\">\n<div id=\"section-89da319798\" class=\"cmp-container\">\n<div class=\"columncontrol utils-padding-top--medium utils-padding-bottom--medium utils-padding-horizontal--base utils-xlg-padding-horizontal--medium\">\n<div class=\"cmp-column-control\">\n<div class=\"cmp-column-control__row cmp-column-control__row--oneEven\">\n<div class=\"cmp-column-control__col\">\n<div id=\"column-22ec7a290a\" class=\"cmp-container\">\n<div class=\"title\">\n<div id=\"title-4eb4af13a4\" class=\"cmp-title\" data-cmp-data-layer=\"{&quot;title-4eb4af13a4&quot;:{&quot;@type&quot;:&quot;core\/wcm\/components\/title\/v3\/title&quot;,&quot;repo:modifyDate&quot;:&quot;2025-05-09T06:35:00Z&quot;,&quot;dc:title&quot;:&quot;Freundlich, extrovertiert und angesehen&quot;}}\">\n<h3 class=\"cmp-title__text\">Friendly, extroverted and respected<\/h3>\n<\/div>\n<\/div>\n<div class=\"text\">\n<div id=\"text-a1ea4174a9\" class=\"cmp-text\" data-cmp-data-layer=\"{&quot;text-a1ea4174a9&quot;:{&quot;repo:modifyDate&quot;:&quot;2025-05-09T06:35:09Z&quot;,&quot;@type&quot;:&quot;kpmg\/components\/content\/text&quot;}}\">\n<p>If there were a typical profile of a white-collar criminal, they would be male, between 36 and 55 years old and have been working for the company for over six years. Offenders show no suspicious behavior such as resentment towards the company or signs of personal or professional problems. They are considered friendly and extroverted and are generally perceived as a person of respect - but this fa\u00e7ade often conceals a strong sense of superiority.<\/p>\n<p>The study also shows that almost three quarters of fraud cases (71%) were committed by groups of two to five people, while 8 % were committed by individuals and 21 % by groups of more than five people. These were often employees of multinational companies. Women were also involved in 52% of the fraud cases committed by two or more people.<\/p>\n<\/div>\n<\/div>\n<div class=\"title\">\n<div id=\"title-dba443a059\" class=\"cmp-title\" data-cmp-data-layer=\"{&quot;title-dba443a059&quot;:{&quot;@type&quot;:&quot;core\/wcm\/components\/title\/v3\/title&quot;,&quot;repo:modifyDate&quot;:&quot;2025-05-09T06:35:14Z&quot;,&quot;dc:title&quot;:&quot;Technologie noch kein entscheidender Faktor &quot;}}\">\n<h3 class=\"cmp-title__text\">Technology not yet a decisive factor<\/h3>\n<\/div>\n<\/div>\n<div class=\"text\">\n<div id=\"text-475f3fcb15\" class=\"cmp-text\" data-cmp-data-layer=\"{&quot;text-475f3fcb15&quot;:{&quot;repo:modifyDate&quot;:&quot;2025-05-09T06:35:31Z&quot;,&quot;@type&quot;:&quot;kpmg\/components\/content\/text&quot;}}\">\n<p>Despite the advancement of digitalization, 46% of fraud cases were committed without the use of technology, while it only played a minor role in 35%. \"The use of technology leaves digital traces that can be detected more easily and quickly. In addition, companies are increasingly using technological solutions to optimize their defense mechanisms,\" says Bob Dillen, Head of Forensics at KPMG Switzerland.<\/p>\n<p>Dillen expects digitalization and AI in particular to play an increasingly important role in white-collar crime in the future, not least due to the increased use of \"deepfakes\", for example to simulate executive powers.<\/p>\n<\/div>\n<\/div>\n<div class=\"title\">\n<div id=\"title-dc984e9076\" class=\"cmp-title\" data-cmp-data-layer=\"{&quot;title-dc984e9076&quot;:{&quot;@type&quot;:&quot;core\/wcm\/components\/title\/v3\/title&quot;,&quot;repo:modifyDate&quot;:&quot;2025-05-08T12:53:51Z&quot;,&quot;dc:title&quot;:&quot;Finanzieller Gewinn im Fokus&quot;}}\">\n<h3 class=\"cmp-title__text\">Focus on financial profit<\/h3>\n<\/div>\n<\/div>\n<div class=\"text\">\n<div id=\"text-69a4336f3a\" class=\"cmp-text\" data-cmp-data-layer=\"{&quot;text-69a4336f3a&quot;:{&quot;repo:modifyDate&quot;:&quot;2025-05-12T05:55:40Z&quot;,&quot;@type&quot;:&quot;kpmg\/components\/content\/text&quot;}}\">\n<p>The main motive for white-collar crime is financial gain, followed by opportunism. Only rarely are crimes committed out of financial necessity or to conceal personal misconduct such as losses. The most common offenses were embezzlement of assets (52%), followed by forgery (29%) and theft (24%).<\/p>\n<p>In just under half of the fraud cases (45%), the amount of the offense was less than 500,000 US dollars. One in five cases involved an offense amount of over 5 million US dollars.<\/p>\n<\/div>\n<\/div>\n<div class=\"title\">\n<div id=\"title-51e7fd02c1\" class=\"cmp-title\" data-cmp-data-layer=\"{&quot;title-51e7fd02c1&quot;:{&quot;@type&quot;:&quot;core\/wcm\/components\/title\/v3\/title&quot;,&quot;repo:modifyDate&quot;:&quot;2025-05-08T12:54:14Z&quot;,&quot;dc:title&quot;:&quot;Schwache interne Kontrollen als Hauptursache f\u00fcr Wirtschaftskriminalit\u00e4t&quot;}}\">\n<h3 class=\"cmp-title__text\">Weak internal controls as the main cause of white-collar crime<\/h3>\n<\/div>\n<\/div>\n<div class=\"text\">\n<div id=\"text-4bcfac67e3\" class=\"cmp-text\" data-cmp-data-layer=\"{&quot;text-4bcfac67e3&quot;:{&quot;repo:modifyDate&quot;:&quot;2025-05-09T15:08:09Z&quot;,&quot;@type&quot;:&quot;kpmg\/components\/content\/text&quot;}}\">\n<p>In 76% of the fraud cases, there were insufficient internal controls. 51% of the companies concerned had not even implemented any adequate control mechanisms at all at the time of the fraud, while the other companies cited codes of conduct (81%), internal audits (64%) and whistleblowing (60%) as the most common control instruments.<\/p>\n<p>The most important method of detection was information received via official internal channels such as whistleblowing hotlines or from informal sources. \"Curbing white-collar crime requires not only effective systems, but also employees who are aware of the risks and take responsibility,\" says Dillen.<\/p>\n<\/div>\n<\/div>\n<div class=\"text utils-background-grey-100 light-theme utils-padding-vertical--x-small utils-md-padding-vertical--base utils-xlg-padding-vertical--large utils-padding-horizontal--x-small utils-md-padding-horizontal--base utils-xlg-padding-horizontal--large\">\n<div id=\"text-489d4857d6\" class=\"cmp-text\" data-cmp-data-layer=\"{&quot;text-489d4857d6&quot;:{&quot;repo:modifyDate&quot;:&quot;2025-05-09T06:35:58Z&quot;,&quot;@type&quot;:&quot;kpmg\/components\/content\/text&quot;}}\">\n<div class=\"greybox\">\n<p><b>Methodology<br \/>\n<\/b><br \/>\nThe study is based on 256 fraud cases that have been investigated by KPMG country offices on behalf of affected organizations over the past five years. Based on questionnaires, detailed case analyses and direct interviews with the perpetrators, the report provides a well-founded picture of at least 669 fraudsters and the crimes they committed.<\/p>\n<\/div>\n<\/div>\n<p><em>Source: KPMG<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Der typische Wirtschaftskriminelle ist m\u00e4nnlich, zwischen 36 und 55 Jahre alt und seit mehr als sechs Jahren im Unternehmen t\u00e4tig. Nur 8% sind Einzelt\u00e4ter. 46\u202f% der Betrugsf\u00e4lle wurden ohne Technologie begangen \u2013 Cyberangriffe, KI und Kryptow\u00e4hrungen spielen bislang nur eine untergeordnete Rolle. H\u00e4ufigste Delikte waren Verm\u00f6gensveruntreuung, Urkundenf\u00e4lschung und Diebstahl. Jeder f\u00fcnfte Betrugsfall wies eine Deliktsumme [&hellip;]<\/p>\n","protected":false},"author":31,"featured_media":24253,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pgc_sgb_lightbox_settings":"","footnotes":""},"categories":[3312],"tags":[468,347,6586,6585,115],"class_list":["post-24252","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sicherheit","tag-betrug","tag-diebstahl","tag-kpmg","tag-veruntreuung","tag-wirtschaftskriminalitaet"],"acf":[],"hkrextid":null,"publication":null,"issue":null,"workflow":null,"startPage":null,"spitzmarke":null,"_posts_by_tag_page_fields":null,"_at_widget":null,"_yoast_wpseo_primary_category":"3312","_yoast_wpseo_focuskw_text_input":null,"_yoast_wpseo_opengraph-image":null,"_yoast_wpseo_opengraph-description":null,"_yoast_wpseo_opengraph-title":null,"enclosure":null,"_yoast_wpseo_twitter-title":null,"_yoast_wpseo_twitter-description":null,"_yoast_wpseo_twitter-image":null,"_wp_old_slug":null,"_yoast_wpseo_title":null,"_yoast_wpseo_canonical":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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