[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-sas-de":3,"job-search-\u002Fen-de\u002Fjobs-by-skill\u002Fsas":33,"skill-page-filters-\u002Fen-de\u002Fjobs-by-skill\u002Fsas":408,"featured-jobs-\u002Fen-de\u002Fjobs-by-skill\u002Fsas":547},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fsas.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","SAS ist eine der wichtigsten Datenanalyseplattformen in [Deutschland](\u002Fsearch), insbesondere in der [Versicherung](\u002Fjobs-by-industry\u002Finsurance) und [Versicherungsbereitstellung und Vermögen](\u002Fjobs-by-industry\u002Finsurance-provision-and-wealth). In [Hannover](\u002Fjobs-in-hannover) und anderen deutschen Finanzzentren ermöglicht SAS Unternehmen wie der [VHV Gruppe](\u002Fcompany\u002Fvhv-gruppe) und [VHV Allgemeine Versicherung AG](\u002Fcompany\u002Fvhv-allgemeine-versicherung-ag), komplexe Datenanalysen durchzuführen, Risiken zu bewerten und strategische Entscheidungen zu treffen. Die Fähigkeit, SAS zu beherrschen, unterstützt [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analytics), [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und die Einhaltung regulatorischer Anforderungen, was in der dynamischen deutschen Versicherungsbranche unverzichtbar ist. Mit SAS können Fachleute Trends analysieren, Prognosen erstellen und datengestützte Insights generieren, um Wettbewerbsvorteile zu sichern und operative Effizienz zu steigern.",{"title":10,"content":11},"Top-Branchen & Standorte","In [Deutschland](\u002Fsearch) ist SAS besonders gefragt in Branchen wie [Versicherung](\u002Fjobs-by-industry\u002Finsurance) und [Versicherungsbereitstellung und Vermögen](\u002Fjobs-by-industry\u002Finsurance-provision-and-wealth), wo es für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analytics) und [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) eingesetzt wird. Top-Standorte mit hoher Nachfrage nach SAS-Kenntnissen umfassen [Hannover](\u002Fjobs-in-hannover), ein bedeutendes Zentrum für Versicherungsunternehmen, sowie andere deutsche Städte mit starkem Finanzsektor. Diese Orte bieten zahlreiche Möglichkeiten für Fachkräfte, die SAS in Projekten zur [strategischen Planung](\u002Fjobs-by-expertise\u002Fstrategic-planning) und [Marktpreisgestaltung](\u002Fjobs-by-expertise\u002Fmarket-pricing) nutzen, um Geschäftsprozesse zu optimieren und wettbewerbsfähig zu bleiben.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Unternehmen in [Deutschland](\u002Fsearch) wie die [VHV Gruppe](\u002Fcompany\u002Fvhv-gruppe) und [VHV Allgemeine Versicherung AG](\u002Fcompany\u002Fvhv-allgemeine-versicherung-ag) suchen nach SAS-Experten mit Kenntnissen in [strategischer Planung](\u002Fjobs-by-expertise\u002Fstrategic-planning), [Dokumentation](\u002Fjobs-by-expertise\u002Fdocumentation), [Marktpreisgestaltung](\u002Fjobs-by-expertise\u002Fmarket-pricing), [Produktstrategieentwicklung](\u002Fjobs-by-expertise\u002Fproduct-strategy-development), [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analytics), [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management) und [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management). Diese Fähigkeiten sind entscheidend für die Umsetzung von SAS-basierten Lösungen in Versicherungsprozessen. Arbeitgeber schätzen auch Expertise in [Versicherungstechnologie](\u002Fjobs-by-expertise\u002Finsurance-technology) und [actuarial processes](\u002Fjobs-by-expertise\u002Factuarial-processes), um SAS für präzise Analysen und Berichterstattung einzusetzen und so die Geschäftsergebnisse zu verbessern.",{"title":16,"content":17},"Karriere & Entwicklung","Eine Karriere mit SAS in [Deutschland](\u002Fsearch) beginnt oft mit einer Ausbildung oder einem Studium in Bereichen wie [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analytics) oder [Informatik](\u002Fjobs-by-expertise\u002Fapplied-informatics), gefolgt von Zertifizierungen in SAS. Fachkräfte können sich zu Rollen wie Data Analyst oder Risk Manager entwickeln, unterstützt durch ergänzende Skills wie [SQL](\u002Fjobs-by-skill\u002Fsql), [Python](\u002Fjobs-by-skill\u002Fpython), [R](\u002Fjobs-by-skill\u002Fr), [Excel](\u002Fjobs-by-skill\u002Fexcel), [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) und [Data Analytics](\u002Fjobs-by-skill\u002Fdata-analytics). Kontinuierliches Lernen durch Online-Kurse und praktische Projekte in [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management) und [automatisierungsprozessverbesserung](\u002Fjobs-by-expertise\u002Fautomation-process-enhancement) fördert das berufliche Wachstum und öffnet Türen zu Führungspositionen in der deutschen Versicherungsbranche.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","SAS (Statistical Analysis System) holds significant strategic importance in [Deutschland](\u002Fsearch), particularly within the financial and insurance sectors. As a powerful tool for [data analytics](\u002Fjobs-by-expertise\u002Fdata-analytics), SAS enables professionals to derive actionable insights from complex datasets, driving informed decision-making and enhancing operational efficiency. In [Deutschland](\u002Fsearch), where regulatory compliance and risk management are paramount, SAS is indispensable for ensuring adherence to stringent standards while optimizing business processes. Its robust capabilities in [data transformation](\u002Fjobs-by-expertise\u002Fdata-transformation) and [automation](\u002Fjobs-by-skill\u002Fautomation) make it a cornerstone for companies aiming to maintain competitive advantage and foster innovation in a data-driven economy.",{"title":23,"content":24},"Top Industries & Locations","In [Deutschland](\u002Fsearch), SAS is highly sought after in key industries such as [Insurance](\u002Fjobs-by-industry\u002Finsurance) and [Insurance Provision And Wealth](\u002Fjobs-by-industry\u002Finsurance-provision-and-wealth), where it supports critical functions like risk assessment and customer analytics. Top locations for SAS professionals include [Hannover](\u002Fjobs-in-hannover), a hub for insurance companies, and other major cities like [Stuttgart](\u002Fjobs-in-stuttgart) and [Munich](\u002Fjobs-in-munich), which host numerous financial institutions. These areas offer abundant opportunities for roles leveraging SAS to enhance [data analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) and drive business growth in sectors prioritizing data integrity and strategic insight.",{"title":26,"content":27},"In-Demand Skills & Employers","Employers in [Deutschland](\u002Fsearch), such as [VHV Gruppe](\u002Fcompany\u002Fvhv-gruppe) and [VHV Allgemeine Versicherung AG](\u002Fcompany\u002Fvhv-allgemeine-versicherung-ag), seek SAS expertise for roles involving [strategic planning](\u002Fjobs-by-expertise\u002Fstrategic-planning), [market pricing](\u002Fjobs-by-expertise\u002Fmarket-pricing), and [risk management](\u002Fjobs-by-expertise\u002Frisk-management). Related in-demand expertises include [data analytics](\u002Fjobs-by-expertise\u002Fdata-analytics), [project management](\u002Fjobs-by-expertise\u002Fproject-management), and [regulatory requirements](\u002Fjobs-by-expertise\u002Fregulatory-requirements), which are essential for ensuring compliance and operational excellence. These skills are critical in developing robust [internal control systems](\u002Fjobs-by-expertise\u002Finternal-control-systems) and enhancing [actuarial processes](\u002Fjobs-by-expertise\u002Factuarial-processes), making SAS professionals valuable assets in the competitive financial landscape of [Deutschland](\u002Fsearch).",{"title":29,"content":30},"Career & Development","A career in SAS in [Deutschland](\u002Fsearch) often begins with roles in [data analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) or [risk management](\u002Fjobs-by-expertise\u002Frisk-management), progressing to senior positions such as data scientist or analytics manager. To develop SAS skills, professionals should focus on mastering related IT skills like [SQL](\u002Fjobs-by-skill\u002Fsql), [Python](\u002Fjobs-by-skill\u002Fpython), and [Power BI](\u002Fjobs-by-skill\u002Fpower-bi), which complement SAS functionalities. Continuous learning through certifications and hands-on experience in [project management](\u002Fjobs-by-expertise\u002Fproject-management) and [automation](\u002Fjobs-by-skill\u002Fautomation) is crucial. This pathway ensures readiness for advanced roles in [Deutschland](\u002Fsearch)'s dynamic financial sector, where expertise in [data transformation](\u002Fjobs-by-expertise\u002Fdata-transformation) and [reporting](\u002Fjobs-by-expertise\u002Freporting) is highly valued.","skill:sas:de","2026-08-17T09:02:33.274115+02:00",{"total":34,"jobs":35},12,[36,109,133,171,212,233,251,273,303,326,355,377],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":46,"processed_country_iso_code_gmaps":48,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":55,"processed_employment_types":57,"processed_it_skills":58,"processed_it_skills_labels":61,"processed_job_expertise_skills":77,"processed_job_expertise_skills_labels":79,"max_cpc":108,"actual_cpc":108},71219,"data-analyst-internal-auditor-mfd-german-desk-property-casualty-sales-at-allianz-se-allianz-insurance","Data Analyst \u002F Internal Auditor (m\u002Ff\u002Fd) German Desk Property & Casualty \u002F Sales at Allianz SE",null,false,{"name":43,"slug":44,"logo_url":45},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[47],"Unterföhring (bei München)",[49],"DE","hybrid",60000,90000,"EUR","estimated",[56],"FULL_TIME","permanent",{"r":59,"sas":59,"sql":59,"python":59,"chatgpt":60,"power bi":59,"ethical ai":60,"etl processes":59,"generative ai":60,"data governance":59,"data privacy (gdpr)":59,"statistical methods":59,"database management systems":59,"machine learning techniques":60,"information security principles":59},3,2,[62,63,64,65,66,67,68,69,70,71,72,73,74,75,76],"Python","R","SQL","SAS","Power BI","ETL processes","Statistical methods","Database management systems","Machine learning techniques","Data governance","Data privacy (GDPR)","Information security principles","ChatGPT","Generative AI","Ethical AI",{"sales":60,"claims":60,"finance":59,"controls":78,"insurance":59,"accounting":59,"consulting":59,"governance":78,"operations":60,"underwriting":60,"data delivery":59,"data analytics":78,"digital \u002F tech":60,"external audit":59,"internal audit":78,"data extraction":59,"risk management":78,"asset management":60,"process analysis":78,"anomaly detection":60,"market management":60,"data visualization":59,"financial services":59,"audit methodologies":59,"data transformation":59,"predictive modeling":60,"product development":60,"investment management":60},4,[80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107],"Internal Audit","External Audit","Consulting","Risk Management","Finance","Accounting","Insurance","Financial Services","Process Analysis","Governance","Controls","Audit Methodologies","Data Analytics","Data Visualization","Data Extraction","Data Transformation","Data Delivery","Anomaly Detection","Predictive Modeling","Sales","Operations","Claims","Underwriting","Investment Management","Asset Management","Product Development","Market Management","Digital \u002F Tech",1,{"id":110,"slug":111,"title":112,"raw_title":40,"is_featured":41,"company":113,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":116,"processed_country_iso_code_gmaps":118,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":119,"processed_employment_types":57,"processed_it_skills":121,"processed_it_skills_labels":122,"processed_job_expertise_skills":123,"processed_job_expertise_skills_labels":124,"max_cpc":108,"actual_cpc":108},71936,"risk-methodology-specialist-in-group-strategic-analytics-berlin-frankfurt-am-main-dmw-0010-deutsche-bank-aktiengesellschaft","Risk Methodology Specialist in Group Strategic Analytics Berlin, Frankfurt am Main (d\u002Fm\u002Fw)",{"name":114,"slug":115,"logo_url":40},"0010 Deutsche Bank Aktiengesellschaft","0010-deutsche-bank-aktiengesellschaft",[117],"Frankfurt am Main",[49],[56,120],"PART_TIME",{"sas":59,"python":59},[62,65],{"model monitoring":59,"model calibration":59,"project management":59,"audit participation":59,"credit risk modeling":78,"statistical analysis":78,"stakeholder communication":78,"regulatory requirements (basel iv, eba gl, sr11-07)":59},[125,126,127,128,129,130,131,132],"Credit Risk Modeling","Statistical Analysis","Regulatory Requirements (Basel IV, EBA GL, SR11-07)","Model Calibration","Model Monitoring","Audit Participation","Stakeholder Communication","Project Management",{"id":134,"slug":135,"title":136,"raw_title":40,"is_featured":41,"company":137,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":141,"processed_country_iso_code_gmaps":142,"processed_home_office":50,"processed_salary_min":143,"processed_salary_max":144,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":145,"processed_employment_types":57,"processed_it_skills":146,"processed_it_skills_labels":147,"processed_job_expertise_skills":152,"processed_job_expertise_skills_labels":153,"max_cpc":108,"actual_cpc":108},73604,"senior-consumer-lending-digital-sales-product-manager-retail-banking-wmd-ing-diba-ag","Senior Consumer Lending Digital Sales & Product Manager – Retail Banking (w\u002Fm\u002Fd)",{"name":138,"slug":139,"logo_url":140},"ING DIBA AG","ing-diba-ag","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[117],[49],70000,95000,[56],{"r":59,"sas":59,"cognos":59,"looker":59,"python":59,"ms excel":78,"ms powerpoint":78},[148,149,62,65,63,150,151],"MS Excel","MS PowerPoint","Looker","Cognos",{"reporting":78,"monitoring":78,"cross-selling":78,"sales strategy":78,"ad-hoc analysis":78,"market analysis":78,"marketing strategy":78,"pricing management":78,"product management":78,"project management":78,"competitor analysis":78,"process optimization":78,"business case analysis":78,"partnership management":78,"profitability analysis":78,"banking products knowledge":78,"customer loyalty management":78,"financial services knowledge":78},[154,155,156,157,158,132,159,160,161,162,163,164,165,166,167,168,169,170],"Product Management","Pricing Management","Sales Strategy","Business Case Analysis","Profitability Analysis","Marketing Strategy","Customer Loyalty Management","Cross-Selling","Partnership Management","Banking Products Knowledge","Financial Services Knowledge","Market Analysis","Competitor Analysis","Process Optimization","Reporting","Monitoring","Ad-hoc Analysis",{"id":172,"slug":173,"title":174,"raw_title":40,"is_featured":41,"company":175,"raw_hiringOrganization_logo_url":178,"processed_city_gmaps":179,"processed_country_iso_code_gmaps":181,"processed_home_office":182,"processed_salary_min":183,"processed_salary_max":183,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":184,"processed_employment_types":185,"processed_it_skills":186,"processed_it_skills_labels":187,"processed_job_expertise_skills":201,"processed_job_expertise_skills_labels":202,"max_cpc":108,"actual_cpc":108},74611,"abschlussarbeiten-in-der-itlvm-beginn-2027-heike-franke","Abschlussarbeiten in der IT@LVM - Beginn 2027",{"name":176,"slug":177,"logo_url":40},"LVM-Versicherung","lvm-versicherung","https:\u002F\u002Fd1m3qravo0uxtt.cloudfront.net\u002Fimage\u002F346054306320\u002Fimage_jcirioducl34982mqb20jru124\u002F-FPNG-S500\u002Flvm_logo.png",[180],"Münster",[49],"onsite",16800,[56],"student",{"db2":59,"sas":59,"java":59,"kafka":59,"mysql":59,"neo4j":59,"redis":59,"python":59,"spring":59,"angular":59,"teradata":59,"postgresql":59,"springboot":59,"typescript":59,"informatica":59},[188,189,190,191,192,193,194,195,196,197,198,62,65,199,200],"Java","Spring","SpringBoot","TypeScript","Angular","Kafka","PostgreSQL","MySQL","DB2","Neo4j","Redis","Informatica","Teradata",{"usability":59,"ux design":59,"it security":59,"data warehouse":59,"web development":59,"software development":59,"business intelligence":59,"database architecture":59,"it infrastructure development":59},[203,204,205,206,207,208,209,210,211],"Software Development","Web Development","IT Infrastructure Development","IT Security","Database Architecture","Business Intelligence","Data Warehouse","UX Design","Usability",{"id":213,"slug":214,"title":215,"raw_title":40,"is_featured":41,"company":216,"raw_hiringOrganization_logo_url":178,"processed_city_gmaps":217,"processed_country_iso_code_gmaps":218,"processed_home_office":182,"processed_salary_min":219,"processed_salary_max":220,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":221,"processed_employment_types":185,"processed_it_skills":222,"processed_it_skills_labels":223,"processed_job_expertise_skills":229,"processed_job_expertise_skills_labels":230,"max_cpc":108,"actual_cpc":108},74682,"hochschulpraktika-in-der-itlvm-beginn-2027-heike-franke","Hochschulpraktika in der IT@LVM - Beginn 2027",{"name":176,"slug":177,"logo_url":40},[180],[49],18000,24000,[56],{"db2":60,"ios":60,"sas":60,"java":60,"z\u002Fos":60,"kafka":60,"mysql":60,"neo4j":60,"redis":60,"python":60,"spring":60,"android":60,"angular":60,"teradata":60,"usability":60,"ux design":60,"postgresql":60,"typescript":60,"informatica":60,"spring boot":60,"machine learning":60},[188,189,224,191,192,225,226,193,194,195,196,197,198,227,228,65,199,200,62,210,211],"Spring Boot","Android","iOS","z\u002FOS","Machine Learning",{"it security":60,"data warehouse":60,"internal audit":60,"app development":60,"web development":60,"system development":60,"software development":60,"business intelligence":60,"database architecture":60,"it infrastructure development":60},[203,204,231,205,206,207,232,208,209,80],"App Development","System Development",{"id":234,"slug":235,"title":236,"raw_title":40,"is_featured":41,"company":237,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":238,"processed_country_iso_code_gmaps":240,"processed_home_office":50,"processed_salary_min":143,"processed_salary_max":241,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":242,"processed_employment_types":57,"processed_it_skills":243,"processed_it_skills_labels":244,"processed_job_expertise_skills":245,"processed_job_expertise_skills_labels":246,"max_cpc":108,"actual_cpc":108},71778,"risk-methodology-senior-lead-in-group-strategic-analytics-berlin-frankfurt-am-main-dmw-0010-deutsche-bank-aktiengesellschaft","Risk Methodology Senior Lead in Group Strategic Analytics Berlin, Frankfurt am Main (d\u002Fm\u002Fw)",{"name":114,"slug":115,"logo_url":40},[239],"Berlin",[49],100000,[56,120],{"sas":59,"python":59},[62,65],{"risk assessment":78,"audit management":59,"model monitoring":59,"model calibration":78,"capital allocation":59,"credit risk modeling":78,"statistical analysis":78,"regulatory compliance (basel iv, eba gl, sr11-07)":78},[125,126,247,128,129,248,249,250],"Regulatory Compliance (Basel IV, EBA GL, SR11-07)","Audit Management","Risk Assessment","Capital Allocation",{"id":252,"slug":253,"title":254,"raw_title":40,"is_featured":41,"company":255,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":256,"processed_country_iso_code_gmaps":257,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":258,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":259,"processed_employment_types":57,"processed_it_skills":260,"processed_it_skills_labels":261,"processed_job_expertise_skills":265,"processed_job_expertise_skills_labels":266,"max_cpc":108,"actual_cpc":108},70840,"fachanalyst-beitragsanpassung-im-produktaktuariat-kranken-mwd-allianz-insurance","Fachanalyst Beitragsanpassung im Produktaktuariat Kranken (m\u002Fw\u002Fd)",{"name":43,"slug":44,"logo_url":45},[47],[49],80000,[56],{"r":59,"sas":59,"sql":59,"java":59,"python":59,"ai agents":59,"ai workflows":59,"microsoft office":59},[262,65,63,64,62,188,263,264],"Microsoft Office","AI Workflows","AI Agents",{"actuarial science":78,"quality assurance":78,"premium adjustment":78,"process management":78,"contract administration":78,"insurance product management":78},[267,268,269,270,271,272],"Actuarial Science","Insurance Product Management","Process Management","Quality Assurance","Contract Administration","Premium Adjustment",{"id":274,"slug":275,"title":276,"raw_title":40,"is_featured":41,"company":277,"raw_hiringOrganization_logo_url":280,"processed_city_gmaps":281,"processed_country_iso_code_gmaps":282,"processed_home_office":50,"processed_salary_min":283,"processed_salary_max":284,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":285,"processed_employment_types":185,"processed_it_skills":286,"processed_it_skills_labels":287,"processed_job_expertise_skills":290,"processed_job_expertise_skills_labels":291,"max_cpc":108,"actual_cpc":108},47050,"werkstudent-risk-steering-wmd-hyundai-capital-bank-europe-gmbh","Werkstudent Risk Steering (w\u002Fm\u002Fd)",{"name":278,"slug":279,"logo_url":40},"Hyundai Capital Bank Europe GmbH","hyundai-capital-bank-europe-gmbh","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F38642\u002Fsocial\u002F101629513d0dcb93217a58e9c5278fce.png",[117],[49],20000,30000,[120],{"r":60,"sas":60,"sql":60,"excel":59,"power bi":60,"powerpoint":59},[288,289,64,63,65,66],"Excel","PowerPoint",{"backtesting":59,"risk reporting":59,"vintage analysis":59,"data quality checks":59,"retail underwriting":59,"credit risk analysis":59,"pd model development":59,"performance analysis":59,"portfolio monitoring":59,"scorecard development":59,"credit policy development":60},[292,293,294,295,296,297,298,299,300,301,302],"Credit risk analysis","Retail underwriting","Scorecard development","PD model development","Portfolio monitoring","Backtesting","Performance analysis","Vintage analysis","Risk reporting","Data quality checks","Credit policy development",{"id":304,"slug":305,"title":306,"raw_title":40,"is_featured":41,"company":307,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":311,"processed_country_iso_code_gmaps":313,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":314,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":315,"processed_employment_types":57,"processed_it_skills":316,"processed_it_skills_labels":317,"processed_job_expertise_skills":318,"processed_job_expertise_skills_labels":319,"max_cpc":108,"actual_cpc":108},50634,"data-scientist-mwd-fuer-analytisches-crm-und-datengestuetzte-potenziale-rv-versicherung","Data Scientist (m\u002Fw\u002Fd) für analytisches CRM und datengestützte Potenziale",{"name":308,"slug":309,"logo_url":310},"R+V Versicherung","rv-versicherung","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fb6\u002FR%2BV-Logo.svg\u002F330px-R%2BV-Logo.svg.png",[312],"Wiesbaden",[49],85000,[56],{"sas":59,"sql":78},[64,65],{"data analysis":78,"rule development":78,"model development":78,"customer segmentation":78,"data landscape management":59,"market opportunity identification":59},[320,321,322,323,324,325],"Data Analysis","Customer Segmentation","Model Development","Rule Development","Data Landscape Management","Market Opportunity Identification",{"id":327,"slug":328,"title":329,"raw_title":40,"is_featured":41,"company":330,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":334,"processed_country_iso_code_gmaps":336,"processed_home_office":50,"processed_salary_min":337,"processed_salary_max":338,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":339,"processed_employment_types":57,"processed_it_skills":340,"processed_it_skills_labels":341,"processed_job_expertise_skills":343,"processed_job_expertise_skills_labels":344,"max_cpc":108,"actual_cpc":108},43466,"it-risk-audit-analyst-ii-banco-santander-sch-banco-santander-sa","IT Risk Audit Analyst II - Banco Santander",{"name":331,"slug":332,"logo_url":333},"Banco Santander, S.A.","banco-santander-sa-2445","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[335],"Boadilla",[49],45000,65000,[56],{"r":59,"sas":59,"sql":59,"python":59,"microsoft office":78,"database management":78},[62,65,64,63,262,342],"Database management",{"nist 800-53":59,"internal audit":59,"control testing":59,"risk assessment":59,"risk management":59,"technology audit":59,"audit documentation":59,"it general controls":59,"sox it general controls":59,"nist cybersecurity framework":59,"ffiec it examination handbook":59,"occ and federal reserve guidance":59},[80,345,83,346,347,348,349,350,351,352,353,354],"Technology Audit","IT General Controls","NIST Cybersecurity Framework","NIST 800-53","FFIEC IT Examination Handbook","SOX IT General Controls","OCC and Federal Reserve guidance","Audit documentation","Risk assessment","Control testing",{"id":356,"slug":357,"title":358,"raw_title":40,"is_featured":41,"company":359,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":362,"processed_country_iso_code_gmaps":363,"processed_home_office":50,"processed_salary_min":143,"processed_salary_max":241,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":364,"processed_employment_types":57,"processed_it_skills":365,"processed_it_skills_labels":366,"processed_job_expertise_skills":367,"processed_job_expertise_skills_labels":368,"max_cpc":108,"actual_cpc":108},39455,"model-risk-manager-non-financial-risk-analytics-wmd-ing-bank-nv","Model Risk Manager Non-Financial Risk \u002F Analytics (w\u002Fm\u002Fd)",{"name":360,"slug":361,"logo_url":140},"ING Bank N.V.","ing-bank-nv",[117],[49],[56],{"r":59,"sas":59,"python":59},[62,63,65],{"genai":60,"analytics":59,"data science":59,"risk assessment":78,"machine learning":59,"model governance":59,"model validation":78,"policy development":59,"statistical models":59,"regulatory requirements":59},[369,370,371,372,228,373,374,375,249,376],"Model Validation","Analytics","Data Science","Statistical Models","GenAI","Model Governance","Regulatory Requirements","Policy Development",{"id":378,"slug":379,"title":380,"raw_title":40,"is_featured":41,"company":381,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":385,"processed_country_iso_code_gmaps":386,"processed_home_office":50,"processed_salary_min":387,"processed_salary_max":388,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":389,"processed_employment_types":57,"processed_it_skills":390,"processed_it_skills_labels":391,"processed_job_expertise_skills":393,"processed_job_expertise_skills_labels":394,"max_cpc":108,"actual_cpc":407},14957,"business-analyst-mwd-finanz-informatik-gmbh-co-kg","Business Analyst (m\u002Fw\u002Fd)",{"name":382,"slug":383,"logo_url":384},"Finanz Informatik GmbH  Co. KG","finanz-informatik-gmbh-co-kg","\u002Fimages\u002Flogos\u002Ffinanz-informatik-gmbh-co-kg-logo.svg",[117],[49],55000,75000,[56],{"sas":59,"sql":59,"database management":59},[64,65,392],"Database Management",{"scrum":59,"testing":59,"data analysis":78,"risk management":59,"test automation":60,"business analysis":78,"project management":59,"agile methodologies":59,"application support":59,"banking controlling":59,"concept development":78,"customer consulting":78,"interface management":59,"process optimization":59,"software development":59,"market trend analysis":59,"customer journey improvement":59},[395,203,396,167,397,398,399,400,132,401,402,320,403,404,405,406,83],"Business Analysis","Application Support","Concept Development","Customer Consulting","Agile Methodologies","Scrum","Testing","Test Automation","Market Trend Analysis","Customer Journey Improvement","Interface Management","Banking Controlling",0.8,{"industry":409,"employment_type":423,"expertise_skills":429,"it_skills":481,"salary_currency":541,"processed_working_hours":543},[410,413,416,418,421],{"key":411,"label":86,"count":412},"insurance",5,{"key":414,"label":415,"count":412},"banking","Banking",{"key":417,"label":87,"count":78},"financial services",{"key":419,"label":420,"count":108},"banking technology","Banking Technology",{"key":422,"label":104,"count":108},"asset management",[424,427],{"key":57,"label":425,"count":426},"PERMANENT",9,{"key":185,"label":428,"count":59},"STUDENT",[430,432,435,437,439,441,443,445,447,449,451,453,455,458,461,463,465,467,469,471,473,475,477,479],{"key":431,"label":80,"slug":431,"count":59},"internal-audit",{"key":433,"label":434,"slug":433,"count":59},"project-management","Project management",{"key":436,"label":249,"slug":436,"count":59},"risk-assessment",{"key":438,"label":83,"slug":438,"count":59},"risk-management",{"key":440,"label":203,"slug":440,"count":59},"software-development",{"key":442,"label":209,"slug":442,"count":60},"data-warehouse",{"key":444,"label":125,"slug":444,"count":60},"credit-risk-modeling",{"key":446,"label":126,"slug":446,"count":60},"statistical-analysis",{"key":448,"label":129,"slug":448,"count":60},"model-monitoring",{"key":450,"label":208,"slug":450,"count":60},"business-intelligence",{"key":452,"label":128,"slug":452,"count":60},"model-calibration",{"key":454,"label":204,"slug":454,"count":60},"web-development",{"key":456,"label":457,"slug":456,"count":60},"it-infrastructure-development","It Infrastructure Development",{"key":459,"label":460,"slug":459,"count":60},"it-security","It Security",{"key":462,"label":207,"slug":462,"count":60},"database-architecture",{"key":464,"label":167,"slug":464,"count":60},"process-optimization",{"key":466,"label":320,"slug":466,"count":60},"data-analysis",{"key":468,"label":406,"slug":468,"count":108},"banking-controlling",{"key":470,"label":297,"slug":470,"count":108},"backtesting",{"key":472,"label":231,"slug":472,"count":108},"app-development",{"key":474,"label":130,"slug":474,"count":108},"audit-participation",{"key":476,"label":271,"slug":476,"count":108},"contract-administration",{"key":478,"label":82,"slug":478,"count":108},"consulting",{"key":480,"label":91,"slug":480,"count":108},"audit-methodologies",[482,485,487,490,492,494,496,499,501,503,505,507,510,513,516,518,521,524,527,529,531,533,535,538],{"key":483,"label":484,"slug":483,"count":34},"sas","Sas",{"key":486,"label":62,"slug":486,"count":426},"python",{"key":488,"label":64,"slug":488,"count":489},"sql",6,{"key":491,"label":63,"slug":491,"count":489},"r",{"key":493,"label":188,"slug":493,"count":59},"java",{"key":495,"label":198,"slug":495,"count":60},"redis",{"key":497,"label":498,"slug":497,"count":60},"mysql","Mysql",{"key":500,"label":392,"slug":500,"count":60},"database-management",{"key":502,"label":199,"slug":502,"count":60},"informatica",{"key":504,"label":192,"slug":504,"count":60},"angular",{"key":506,"label":200,"slug":506,"count":60},"teradata",{"key":508,"label":509,"slug":508,"count":60},"typescript","Typescript",{"key":511,"label":512,"slug":511,"count":60},"ms-office","MS Office",{"key":514,"label":515,"slug":514,"count":60},"db2","Db2",{"key":517,"label":189,"slug":517,"count":60},"spring",{"key":519,"label":520,"slug":519,"count":60},"neo4j","Neo4J",{"key":522,"label":523,"slug":522,"count":60},"postgresql","Postgresql",{"key":525,"label":526,"slug":525,"count":60},"ms-powerbi","MS PowerBI",{"key":528,"label":193,"slug":528,"count":60},"kafka",{"key":530,"label":149,"slug":530,"count":60},"ms-powerpoint",{"key":532,"label":148,"slug":532,"count":60},"ms-excel",{"key":534,"label":224,"slug":534,"count":108},"spring-boot",{"key":536,"label":537,"slug":536,"count":108},"springboot","Springboot",{"key":539,"label":540,"slug":539,"count":108},"statistical-methods","Statistical Methods",[542],{"key":53,"label":53,"count":34},[544,546],{"key":56,"label":56,"count":545},11,{"key":120,"label":120,"count":59},{"total":548,"jobs":549},0,[]]