[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-de\u002Fjobs-by-skill\u002Fr":3,"seo-content-skill-r-de":535,"skill-page-filters-\u002Fde-de\u002Fjobs-by-skill\u002Fr":565,"featured-jobs-\u002Fde-de\u002Fjobs-by-skill\u002Fr":700},{"total":4,"jobs":5},19,[6,79,109,140,167,195,220,255,274,301,323,350,365,385,419,444,473,495,511],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":47,"processed_job_expertise_skills_labels":49,"max_cpc":78,"actual_cpc":78},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":13,"slug":14,"logo_url":15},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[17],"Unterföhring (bei München)",[19],"DE","hybrid",60000,90000,"EUR","estimated",[26],"FULL_TIME","permanent",{"r":29,"sas":29,"sql":29,"python":29,"chatgpt":30,"power bi":29,"ethical ai":30,"etl processes":29,"generative ai":30,"data governance":29,"data privacy (gdpr)":29,"statistical methods":29,"database management systems":29,"machine learning techniques":30,"information security principles":29},3,2,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"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":30,"claims":30,"finance":29,"controls":48,"insurance":29,"accounting":29,"consulting":29,"governance":48,"operations":30,"underwriting":30,"data delivery":29,"data analytics":48,"digital \u002F tech":30,"external audit":29,"internal audit":48,"data extraction":29,"risk management":48,"asset management":30,"process analysis":48,"anomaly detection":30,"market management":30,"data visualization":29,"financial services":29,"audit methodologies":29,"data transformation":29,"predictive modeling":30,"product development":30,"investment management":30},4,[50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77],"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":80,"slug":81,"title":82,"raw_title":10,"is_featured":11,"company":83,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":84,"processed_country_iso_code_gmaps":86,"processed_home_office":87,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":90,"processed_employment_types":27,"processed_it_skills":91,"processed_it_skills_labels":92,"processed_job_expertise_skills":96,"processed_job_expertise_skills_labels":97,"max_cpc":78,"actual_cpc":78},70721,"pricing-actuary-mfd-allianz-insurance-2","Pricing Actuary (m\u002Ff\u002Fd)",{"name":13,"slug":14,"logo_url":15},[85],"München",[19],"onsite",70000,95000,[26],{"r":48,"sql":48,"vba":29,"excel":29,"python":48,"ms office":29},[93,94,95,32,33,34],"MS Office","Excel","VBA",{"pricing":48,"reserving":29,"reinsurance":29,"underwriting":29,"risk modeling":48,"data management":29,"project support":29,"market knowledge":29,"model development":48,"actuarial analysis":48,"quantitative finance":48,"regulatory compliance":29},[98,99,100,101,102,103,104,105,106,107,108,72],"Actuarial Analysis","Pricing","Data Management","Model Development","Project Support","Market Knowledge","Regulatory Compliance","Risk Modeling","Quantitative Finance","Reinsurance","Reserving",{"id":110,"slug":111,"title":112,"raw_title":10,"is_featured":11,"company":113,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":116,"processed_country_iso_code_gmaps":118,"processed_home_office":20,"processed_salary_min":119,"processed_salary_max":120,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":121,"processed_employment_types":122,"processed_it_skills":123,"processed_it_skills_labels":124,"processed_job_expertise_skills":126,"processed_job_expertise_skills_labels":127,"max_cpc":78,"actual_cpc":78},74305,"praktikantin-im-bereich-firmenkunden-institutional-clients-transaction-banking-sales-emb-latin-america-commerzbank-ag-de","Praktikant*in im Bereich Firmenkunden-Institutional Clients & Transaction Banking Sales EMB Latin America",{"name":114,"slug":115,"logo_url":10},"Commerzbank AG DE","commerzbank-ag-de",[117],"Frankfurt am Main",[19],15000,25000,[26],"student",{"r":30,"sql":30,"python":30,"microsoft office":29},[125,34,32,33],"Microsoft Office",{"data analysis":30,"trade finance":30,"briefing memos":30,"bilateral loans":30,"cash management":30,"syndicated loans":30,"project management":30,"customer presentations":30,"capital market products":30,"relationship management":30,"financial market analysis":30,"know-your-customer processes":30},[128,129,130,131,132,133,134,135,136,137,138,139],"Cash Management","Trade Finance","Capital Market Products","Bilateral Loans","Syndicated Loans","Relationship Management","Customer Presentations","Data Analysis","Financial Market Analysis","Briefing Memos","Know-Your-Customer Processes","Project Management",{"id":141,"slug":142,"title":143,"raw_title":10,"is_featured":11,"company":144,"raw_hiringOrganization_logo_url":148,"processed_city_gmaps":149,"processed_country_iso_code_gmaps":151,"processed_home_office":20,"processed_salary_min":152,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":153,"processed_employment_types":27,"processed_it_skills":155,"processed_it_skills_labels":156,"processed_job_expertise_skills":157,"processed_job_expertise_skills_labels":158,"max_cpc":78,"actual_cpc":78},74898,"modellvalidierer-mwd-risikocontrolling-kreissparkasse-koeln","Modellvalidierer (m\u002Fw\u002Fd) Risikocontrolling",{"name":145,"slug":146,"logo_url":147},"Kreissparkasse Köln","kreissparkasse-koeln","\u002Fimages\u002Flogos\u002Fkreissparkasse-koeln-logo.svg","https:\u002F\u002Finstitute-logos.sparkasse.de\u002F37050299.svg",[150],"Köln",[19],75000,[26,154],"PART_TIME",{"r":30,"sql":30,"python":30},[32,33,34],{"statistics":48,"data assessment":48,"risk management":29,"model validation":48,"benchmark analysis":48,"probability theory":48,"sensitivity analysis":48,"quantitative modeling":48,"regulatory requirements (ecb\u002Fssm)":29},[159,160,161,53,162,163,164,165,166],"Statistics","Probability Theory","Quantitative Modeling","Regulatory Requirements (ECB\u002FSSM)","Model Validation","Benchmark Analysis","Sensitivity Analysis","Data Assessment",{"id":168,"slug":169,"title":170,"raw_title":10,"is_featured":11,"company":171,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":175,"processed_country_iso_code_gmaps":177,"processed_home_office":20,"processed_salary_min":119,"processed_salary_max":178,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":179,"processed_employment_types":122,"processed_it_skills":180,"processed_it_skills_labels":181,"processed_job_expertise_skills":188,"processed_job_expertise_skills_labels":189,"max_cpc":78,"actual_cpc":78},79622,"studentische-aushilfe-mwd-data-forge-rv-versicherung","Studentische Aushilfe (m\u002Fw\u002Fd) Data Forge",{"name":172,"slug":173,"logo_url":174},"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",[176],"Wiesbaden",[19],20000,[154],{"r":29,"numpy":29,"pandas":29,"python":29,"scikit-learn":29,"model tracking":30,"experiment tracking":30,"reproducible pipelines":30},[32,33,182,183,184,185,186,187],"pandas","numpy","scikit-learn","Experiment tracking","Model tracking","Reproducible pipelines",{"databases":29,"algorithms":29,"statistics":29,"prototyping":29,"data science":29,"experimentation":29},[190,159,191,192,193,194],"Data Science","Algorithms","Databases","Prototyping","Experimentation",{"id":196,"slug":197,"title":198,"raw_title":10,"is_featured":11,"company":199,"raw_hiringOrganization_logo_url":202,"processed_city_gmaps":203,"processed_country_iso_code_gmaps":205,"processed_home_office":87,"processed_salary_min":206,"processed_salary_max":207,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":208,"processed_employment_types":122,"processed_it_skills":209,"processed_it_skills_labels":210,"processed_job_expertise_skills":212,"processed_job_expertise_skills_labels":213,"max_cpc":78,"actual_cpc":78},74924,"werkstudent-mwd-corporate-security-schwerpunkt-informationsrisikomanagement-l-bank","Werkstudent (m\u002Fw\u002Fd) Corporate Security – Schwerpunkt Informationsrisikomanagement",{"name":200,"slug":201,"logo_url":10},"L-Bank","l-bank","https:\u002F\u002Fapp.softgarden.io\u002Fassets\u002Fpublic\u002Fmedia\u002Fget\u002Fa602471e-48b1-4533-a05e-18ac53042c39\u002F1787230592445\u002Fgoogle-for-jobs-logo.png",[204],"Karlsruhe",[19],17.33,20.92,[154],{"r":30,"excel":29,"ms office":29,"powerpoint":29},[93,94,211,33],"PowerPoint",{"isms":30,"reporting":30,"data analysis":30,"risk management":30,"bsi it-grundschutz":30,"information risk management":30},[214,215,216,217,218,219],"Information risk management","BSI IT-Grundschutz","ISMS","Risk management","Data analysis","Reporting",{"id":221,"slug":222,"title":223,"raw_title":10,"is_featured":11,"company":224,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":228,"processed_country_iso_code_gmaps":229,"processed_home_office":20,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":230,"processed_employment_types":27,"processed_it_skills":231,"processed_it_skills_labels":232,"processed_job_expertise_skills":237,"processed_job_expertise_skills_labels":238,"max_cpc":78,"actual_cpc":78},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":225,"slug":226,"logo_url":227},"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],[19],[26],{"r":29,"sas":29,"cognos":29,"looker":29,"python":29,"ms excel":48,"ms powerpoint":48},[233,234,32,35,33,235,236],"MS Excel","MS PowerPoint","Looker","Cognos",{"reporting":48,"monitoring":48,"cross-selling":48,"sales strategy":48,"ad-hoc analysis":48,"market analysis":48,"marketing strategy":48,"pricing management":48,"product management":48,"project management":48,"competitor analysis":48,"process optimization":48,"business case analysis":48,"partnership management":48,"profitability analysis":48,"banking products knowledge":48,"customer loyalty management":48,"financial services knowledge":48},[239,240,241,242,243,139,244,245,246,247,248,249,250,251,252,219,253,254],"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","Monitoring","Ad-hoc Analysis",{"id":256,"slug":257,"title":258,"raw_title":10,"is_featured":11,"company":259,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":260,"processed_country_iso_code_gmaps":261,"processed_home_office":20,"processed_salary_min":262,"processed_salary_max":263,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":264,"processed_employment_types":122,"processed_it_skills":265,"processed_it_skills_labels":266,"processed_job_expertise_skills":267,"processed_job_expertise_skills_labels":268,"max_cpc":78,"actual_cpc":78},74231,"praktikantin-im-bereich-fx-commodity-research-commerzbank-ag-de","Praktikant*in im Bereich FX & Commodity Research",{"name":114,"slug":115,"logo_url":10},[117],[19],1000,1500,[26],{"r":29,"python":29},[33,32],{"statistics":48,"econometrics":48,"data analysis":48,"macroeconomics":29,"microeconomics":29,"economic research":29,"publication creation":30,"financial market analysis":29},[269,159,135,270,271,272,136,273],"Econometrics","Macroeconomics","Microeconomics","Economic Research","Publication Creation",{"id":275,"slug":276,"title":277,"raw_title":10,"is_featured":11,"company":278,"raw_hiringOrganization_logo_url":282,"processed_city_gmaps":283,"processed_country_iso_code_gmaps":285,"processed_home_office":20,"processed_salary_min":286,"processed_salary_max":152,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":287,"processed_employment_types":27,"processed_it_skills":288,"processed_it_skills_labels":289,"processed_job_expertise_skills":290,"processed_job_expertise_skills_labels":291,"max_cpc":78,"actual_cpc":78},76800,"interner-revisor-wmd-schwerpunkt-irba-und-quantitative-modelle-duesseldorf-psd-bank-rhein-ruhr-eg","Interner Revisor (w\u002Fm\u002Fd) – Schwerpunkt IRBA und quantitative Modelle – Düsseldorf",{"name":279,"slug":280,"logo_url":281},"PSD Bank Rhein-Ruhr eG","psd-bank-rhein-ruhr-eg","https:\u002F\u002Fmedia.mein-helix.de\u002Ffiles\u002Fimage\u002F2024\u002F12\u002Fs47brleuikscPKDefpC9KWx7UgOurO9t_Logo_PSD_Wuerfel.jpg","https:\u002F\u002Fpsd-rr.stellen.center\u002Fasset\u002Flogo?file=",[284],"Düsseldorf",[19],55000,[26],{"r":30,"sql":30,"excel":29,"python":30},[32,33,34,94],{"audit reporting":48,"rating procedures":48,"quantitative models":48,"credit risk management":48,"risk-oriented auditing":48,"data quality management":48,"internal control systems":48,"internal ratings based approach (irba)":48,"regulatory requirements (marisk, crr, eba guidelines)":48},[292,293,294,295,296,297,298,299,300],"Internal Ratings Based Approach (IRBA)","Credit Risk Management","Rating Procedures","Quantitative Models","Internal Control Systems","Regulatory Requirements (MaRisk, CRR, EBA Guidelines)","Data Quality Management","Audit Reporting","Risk-Oriented Auditing",{"id":302,"slug":303,"title":304,"raw_title":10,"is_featured":11,"company":305,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":306,"processed_country_iso_code_gmaps":307,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":308,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":309,"processed_employment_types":27,"processed_it_skills":310,"processed_it_skills_labels":311,"processed_job_expertise_skills":315,"processed_job_expertise_skills_labels":316,"max_cpc":78,"actual_cpc":78},70840,"fachanalyst-beitragsanpassung-im-produktaktuariat-kranken-mwd-allianz-insurance","Fachanalyst Beitragsanpassung im Produktaktuariat Kranken (m\u002Fw\u002Fd)",{"name":13,"slug":14,"logo_url":15},[17],[19],80000,[26],{"r":29,"sas":29,"sql":29,"java":29,"python":29,"ai agents":29,"ai workflows":29,"microsoft office":29},[125,35,33,34,32,312,313,314],"Java","AI Workflows","AI Agents",{"actuarial science":48,"quality assurance":48,"premium adjustment":48,"process management":48,"contract administration":48,"insurance product management":48},[317,318,319,320,321,322],"Actuarial Science","Insurance Product Management","Process Management","Quality Assurance","Contract Administration","Premium Adjustment",{"id":324,"slug":325,"title":326,"raw_title":10,"is_featured":11,"company":327,"raw_hiringOrganization_logo_url":330,"processed_city_gmaps":331,"processed_country_iso_code_gmaps":332,"processed_home_office":20,"processed_salary_min":178,"processed_salary_max":333,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":334,"processed_employment_types":122,"processed_it_skills":335,"processed_it_skills_labels":336,"processed_job_expertise_skills":337,"processed_job_expertise_skills_labels":338,"max_cpc":78,"actual_cpc":78},47050,"werkstudent-risk-steering-wmd-hyundai-capital-bank-europe-gmbh","Werkstudent Risk Steering (w\u002Fm\u002Fd)",{"name":328,"slug":329,"logo_url":10},"Hyundai Capital Bank Europe GmbH","hyundai-capital-bank-europe-gmbh","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F38642\u002Fsocial\u002F101629513d0dcb93217a58e9c5278fce.png",[117],[19],30000,[154],{"r":30,"sas":30,"sql":30,"excel":29,"power bi":30,"powerpoint":29},[94,211,34,33,35,36],{"backtesting":29,"risk reporting":29,"vintage analysis":29,"data quality checks":29,"retail underwriting":29,"credit risk analysis":29,"pd model development":29,"performance analysis":29,"portfolio monitoring":29,"scorecard development":29,"credit policy development":30},[339,340,341,342,343,344,345,346,347,348,349],"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":351,"slug":352,"title":353,"raw_title":10,"is_featured":11,"company":354,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":355,"processed_country_iso_code_gmaps":356,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":308,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":357,"processed_employment_types":27,"processed_it_skills":358,"processed_it_skills_labels":359,"processed_job_expertise_skills":360,"processed_job_expertise_skills_labels":361,"max_cpc":78,"actual_cpc":78},50981,"business-consultant-mwd-datenmanagement-facharchitektur-kompositversicherung-rv-versicherung","Business Consultant (m\u002Fw\u002Fd) Datenmanagement Facharchitektur Kompositversicherung",{"name":172,"slug":173,"logo_url":174},[176],[19],[26],{"r":29,"sql":48,"python":29},[34,32,33],{"data analysis":48,"data architecture":29,"data product development":29,"insurance domain knowledge":29},[218,362,363,364],"Data architecture","Data product development","Insurance domain knowledge",{"id":366,"slug":367,"title":368,"raw_title":10,"is_featured":11,"company":369,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":370,"processed_country_iso_code_gmaps":371,"processed_home_office":20,"processed_salary_min":286,"processed_salary_max":88,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":372,"processed_employment_types":27,"processed_it_skills":373,"processed_it_skills_labels":374,"processed_job_expertise_skills":378,"processed_job_expertise_skills_labels":379,"max_cpc":78,"actual_cpc":78},70724,"junior-aktuar-data-scientist-fuer-das-pricing-aktuariat-mwd-allianz-insurance","Junior Aktuar \u002F Data Scientist für das Pricing Aktuariat (m\u002Fw\u002Fd)",{"name":13,"slug":14,"logo_url":15},[17],[19],[26,154],{"r":29,"sql":29,"java":30,"python":29,"pyspark":29,"data mining":29,"generative ai":30,"machine learning":29},[32,375,33,312,34,376,377,45],"PySpark","Machine Learning","Data Mining",{"pricing":29,"data analysis":29,"data modeling":29,"risk modeling":29,"actuarial science":29,"tariff development":29,"product development":29,"stochastic modeling":29,"insurance mathematics":29,"tariff implementation":29},[317,380,381,105,99,75,135,382,383,384],"Insurance Mathematics","Stochastic Modeling","Data Modeling","Tariff Development","Tariff Implementation",{"id":386,"slug":387,"title":388,"raw_title":10,"is_featured":11,"company":389,"raw_hiringOrganization_logo_url":393,"processed_city_gmaps":394,"processed_country_iso_code_gmaps":396,"processed_home_office":20,"processed_salary_min":397,"processed_salary_max":398,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":399,"processed_employment_types":27,"processed_it_skills":400,"processed_it_skills_labels":401,"processed_job_expertise_skills":408,"processed_job_expertise_skills_labels":409,"max_cpc":78,"actual_cpc":78},50047,"spezialist-mwd-im-meldewesen-fuer-den-irba-sparkasse-hannover","Spezialist (m\u002Fw\u002Fd) im Meldewesen für den IRBA",{"name":390,"slug":391,"logo_url":392},"Sparkasse Hannover","sparkasse-hannover","\u002Fimages\u002Flogos\u002Fsparkasse-hannover-logo.svg","https:\u002F\u002Finstitute-logos.sparkasse.de\u002F25050180.svg",[395],"Hannover",[19],67000,95500,[26,154],{"r":30,"sql":29,"bais":29,"spss":30,"stata":30,"abacus":29,"matlab":30,"ms access":29},[402,34,403,404,33,405,406,407],"MS Access","BAIS","Abacus","Matlab","Stata","SPSS",{"audit support":29,"portfolio analysis":29,"solvency reporting":48,"process optimization":29,"regulatory reporting":48,"data quality management":48,"stakeholder coordination":29,"ksa (credit risk standard approach)":48,"irba (internal ratings based approach)":48},[410,411,412,413,414,415,416,417,418],"Regulatory reporting","Solvency reporting","KSA (Credit Risk Standard Approach)","IRBA (Internal Ratings Based Approach)","Data quality management","Portfolio analysis","Process optimization","Stakeholder coordination","Audit support",{"id":420,"slug":421,"title":422,"raw_title":10,"is_featured":11,"company":423,"raw_hiringOrganization_logo_url":426,"processed_city_gmaps":427,"processed_country_iso_code_gmaps":428,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":429,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":430,"processed_employment_types":27,"processed_it_skills":431,"processed_it_skills_labels":432,"processed_job_expertise_skills":433,"processed_job_expertise_skills_labels":434,"max_cpc":78,"actual_cpc":78},49959,"team-head-qis-index-structuring-solactive-ag","Team Head – QIS Index Structuring",{"name":424,"slug":425,"logo_url":10},"Solactive AG","solactive-ag","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F2585\u002Fsocial\u002F1512344f754608e10e32c9c4a884a86d.jpg",[117],[19],130000,[26],{"r":29,"python":29},[32,33],{"qis":48,"indexing":48,"derivatives":48,"risk premia":48,"structuring":48,"model development":48,"project management":29,"product engineering":48,"business development":29,"systematic strategies":48,"quantitative asset management":48},[435,436,437,438,439,440,441,101,442,139,443],"Quantitative Asset Management","Indexing","Structuring","QIS","Derivatives","Systematic Strategies","Risk Premia","Product Engineering","Business Development",{"id":445,"slug":446,"title":447,"raw_title":10,"is_featured":11,"company":448,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":452,"processed_country_iso_code_gmaps":454,"processed_home_office":20,"processed_salary_min":455,"processed_salary_max":456,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":457,"processed_employment_types":27,"processed_it_skills":458,"processed_it_skills_labels":459,"processed_job_expertise_skills":461,"processed_job_expertise_skills_labels":462,"max_cpc":78,"actual_cpc":78},43466,"it-risk-audit-analyst-ii-banco-santander-sch-banco-santander-sa","IT Risk Audit Analyst II - Banco Santander",{"name":449,"slug":450,"logo_url":451},"Banco Santander, S.A.","banco-santander-sa-2445","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[453],"Boadilla",[19],45000,65000,[26],{"r":29,"sas":29,"sql":29,"python":29,"microsoft office":48,"database management":48},[32,35,34,33,125,460],"Database management",{"nist 800-53":29,"internal audit":29,"control testing":29,"risk assessment":29,"risk management":29,"technology audit":29,"audit documentation":29,"it general controls":29,"sox it general controls":29,"nist cybersecurity framework":29,"ffiec it examination handbook":29,"occ and federal reserve guidance":29},[50,463,53,464,465,466,467,468,469,470,471,472],"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":474,"slug":475,"title":476,"raw_title":10,"is_featured":11,"company":477,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":480,"processed_country_iso_code_gmaps":481,"processed_home_office":20,"processed_salary_min":88,"processed_salary_max":482,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":483,"processed_employment_types":27,"processed_it_skills":484,"processed_it_skills_labels":485,"processed_job_expertise_skills":486,"processed_job_expertise_skills_labels":487,"max_cpc":78,"actual_cpc":78},39455,"model-risk-manager-non-financial-risk-analytics-wmd-ing-bank-nv","Model Risk Manager Non-Financial Risk \u002F Analytics (w\u002Fm\u002Fd)",{"name":478,"slug":479,"logo_url":227},"ING Bank N.V.","ing-bank-nv",[117],[19],100000,[26],{"r":29,"sas":29,"python":29},[32,33,35],{"genai":30,"analytics":29,"data science":29,"risk assessment":48,"machine learning":29,"model governance":29,"model validation":48,"policy development":29,"statistical models":29,"regulatory requirements":29},[163,488,190,489,376,490,491,492,493,494],"Analytics","Statistical Models","GenAI","Model Governance","Regulatory Requirements","Risk Assessment","Policy Development",{"id":496,"slug":497,"title":498,"raw_title":10,"is_featured":11,"company":499,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":500,"processed_country_iso_code_gmaps":502,"processed_home_office":20,"processed_salary_min":308,"processed_salary_max":503,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":504,"processed_employment_types":27,"processed_it_skills":505,"processed_it_skills_labels":506,"processed_job_expertise_skills":507,"processed_job_expertise_skills_labels":508,"max_cpc":78,"actual_cpc":78},42549,"senior-aktuar-mwd-allianz-insurance","Senior-Aktuar (m\u002Fw\u002Fd)",{"name":13,"slug":14,"logo_url":15},[501],"Unterföhring",[19],120000,[26],{"r":29,"python":48,"pyspark":29,"data mining":29,"machine learning":29},[32,375,33,376,377],{"pricing":48,"process automation":29,"tariff development":48,"product development":48,"stochastic modeling":48,"business case creation":48,"profitability analysis":48},[99,381,383,243,509,75,510],"Business Case Creation","Process Automation",{"id":512,"slug":513,"title":514,"raw_title":10,"is_featured":11,"company":515,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":518,"processed_country_iso_code_gmaps":519,"processed_home_office":87,"processed_salary_min":456,"processed_salary_max":520,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":521,"processed_employment_types":27,"processed_it_skills":522,"processed_it_skills_labels":523,"processed_job_expertise_skills":524,"processed_job_expertise_skills_labels":525,"max_cpc":78,"actual_cpc":534},10840,"risikomanagerin-aktuarin-validierung-hdi-ag","Risikomanager:in \u002F Aktuar:in Validierung ",{"name":516,"slug":517,"logo_url":10},"HDI AG","hdi-ag",[395],[19],85000,[26],{"r":29,"sql":29,"vba":29,"python":29,"ms office":48},[93,33,34,32,95],{"solvency ii":48,"risk management":48,"model validation":48,"market risk modeling":48,"risk capital calculation":48,"cross-functional teamwork":48,"internal model validation":48,"economic scenario analysis":48,"life insurance risk modeling":48},[217,526,527,528,529,530,531,532,533],"Solvency II","Internal model validation","Market risk modeling","Life insurance risk modeling","Economic scenario analysis","Risk capital calculation","Model validation","Cross-functional teamwork",0.8,{"image_path":536,"content_de":537,"content_en":550,"composite_key":563,"last_updated":564},"\u002Fimages\u002Fskill\u002Fr.webp",{"tab1":538,"tab2":541,"tab3":544,"tab4":547},{"title":539,"content":540},"Bedeutung & Relevanz","Die Programmiersprache R ist in [Deutschland](\u002Fsearch) von großer strategischer Bedeutung für die Finanzbranche, insbesondere in Bereichen wie [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis). Mit ihrer leistungsstarken Statistik- und Visualisierungsfähigkeit ermöglicht R präzise quantitative Analysen, die für die Bewertung von [Risikoanalysen](\u002Fjobs-by-expertise\u002Frisk-analysis) und die Entwicklung von Prognosemodellen unerlässlich sind. In [Deutschland](\u002Fsearch) nutzen Unternehmen R intensiv für [Datenqualitätsanalysen](\u002Fjobs-by-expertise\u002Fdata-quality-analysis) und [automatisierte Berichterstattung](\u002Fjobs-by-expertise\u002Fautomation), um wettbewerbsfähig zu bleiben. Die Relevanz von R wächst weiter, da die Nachfrage nach datengestützten Entscheidungen in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) zunimmt.",{"title":542,"content":543},"Top-Branchen & Standorte","In [Deutschland](\u002Fsearch) ist R besonders in [München](\u002Fjobs-in-muenchen), [Hannover](\u002Fjobs-in-hannover) und [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main) gefragt. Diese Standorte sind Hotspots für [Immobilienbanking](\u002Fjobs-by-industry\u002Freal-estate-banking), [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) und [Finanzen](\u002Fjobs-by-industry\u002Ffinance), wo R für [Alternative Investments](\u002Fjobs-by-industry\u002Falternative-investments) und [quantitative Modellierung](\u002Fjobs-by-expertise\u002Fquantitative-modeling) eingesetzt wird. Branchen wie [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Investment Banking](\u002Fjobs-by-industry\u002Finvestment-banking) nutzen R intensiv, um komplexe [Szenarioanalysen](\u002Fjobs-by-expertise\u002Fscenario-analysis) und [Marktpreisbewertungen](\u002Fjobs-by-expertise\u002Fmarket-pricing) durchzuführen.",{"title":545,"content":546},"Gefragte Skills & Arbeitgeber","Top-Arbeitgeber in [Deutschland](\u002Fsearch) wie [Münchener Hypothekenbank eG](\u002Fcompany\u002Fmuenchener-hypothekenbank-eg), [VHV Allgemeine Versicherung AG](\u002Fcompany\u002Fvhv-allgemeine-versicherung-ag), [VHV Gruppe](\u002Fcompany\u002Fvhv-gruppe), [B. Metzler seel. Sohn & Co. Aktiengesellschaft](\u002Fcompany\u002Fb-metzler-seel-sohn-co-aktie) und [Golding Capital Partners GmbH](\u002Fcompany\u002Fgolding-capital-partners-gmbh) suchen nach Experten mit R-Kenntnissen in [Statistik](\u002Fjobs-by-expertise\u002Fstatistics), [quantitativer Analyse](\u002Fjobs-by-expertise\u002Fquantitative-analysis) und [Datenanalytik](\u002Fjobs-by-expertise\u002Fdata-analytics). Gefragte Expertise umfasst [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management), [Berichterstattung](\u002Fjobs-by-expertise\u002Freporting) und [Makroökonomie](\u002Fjobs-by-expertise\u002Fmacroeconomics), um fundierte Investmententscheidungen zu treffen.",{"title":548,"content":549},"Karriere & Entwicklung","Karrierewege mit R in [Deutschland](\u002Fsearch) führen oft zu Rollen wie Data Analyst oder Risk Manager. Um R zu erlernen, kombinieren Sie es mit [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql) und [Excel](\u002Fjobs-by-skill\u002Fexcel) für umfassende [Datenverarbeitung](\u002Fjobs-by-expertise\u002Fdata-transformation). Entwickeln Sie Fähigkeiten in [Power BI](\u002Fjobs-by-skill\u002Fpowerbi) und [VBA](\u002Fjobs-by-skill\u002Fvba) für erweiterte Analysen. Fortbildungen in [quantitativer Modellentwicklung](\u002Fjobs-by-expertise\u002Fquantitative-model-development) und [Prognoseverfahren](\u002Fjobs-by-expertise\u002Finterest-rate-and-macroeconomic-forecasting) sind entscheidend für den Aufstieg in [Finanzberatung](\u002Fjobs-by-expertise\u002Ffinancial-advisory) oder [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management).",{"tab1":551,"tab2":554,"tab3":557,"tab4":560},{"title":552,"content":553},"Strategic Importance","R is a critical programming language and software environment for statistical computing and graphics, playing a vital role in [Deutschland](\u002Fsearch)'s financial sector. Its importance stems from its powerful capabilities in data analysis, visualization, and modeling, which are essential for making data-driven decisions in areas like [risk management](\u002Fjobs-by-expertise\u002Frisk-management) and [quantitative analysis](\u002Fjobs-by-expertise\u002Fquantitative-analysis). In [Deutschland](\u002Fsearch), where industries such as [finance](\u002Fjobs-by-industry\u002Ffinance) and [insurance](\u002Fjobs-by-industry\u002Finsurance) thrive, R enables professionals to handle complex datasets, perform [statistical analysis](\u002Fjobs-by-expertise\u002Fstatistical-analysis), and develop predictive models. This is particularly relevant for tasks like assessing [probability of default (pd)](\u002Fjobs-by-expertise\u002Fprobability-of-default-pd) and [loss given default (lgd)](\u002Fjobs-by-expertise\u002Floss-given-default-lgd), helping companies mitigate risks and optimize strategies. The language's open-source nature and extensive package ecosystem make it a cost-effective and flexible tool for innovation, supporting [Deutschland](\u002Fsearch)'s position as a hub for financial technology and research.",{"title":555,"content":556},"Top Industries & Locations","In [Deutschland](\u002Fsearch), R is in high demand across key industries such as [real estate banking](\u002Fjobs-by-industry\u002Freal-estate-banking), [insurance](\u002Fjobs-by-industry\u002Finsurance), [finance](\u002Fjobs-by-industry\u002Ffinance), and [alternative investments](\u002Fjobs-by-industry\u002Falternative-investments). Top locations where this skill is sought after include [München](\u002Fjobs-in-muenchen), known for its strong financial services sector; [Hannover](\u002Fjobs-in-hannover), a hub for insurance companies; and [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main), [Deutschland](\u002Fsearch)'s financial capital with numerous banks and investment firms. These cities host a concentration of businesses that rely on R for advanced analytics, risk assessment, and data-driven decision-making, making them prime areas for professionals with expertise in this language to find opportunities in roles involving [data analysis](\u002Fjobs-by-expertise\u002Fdata-analysis) and [quantitative modeling](\u002Fjobs-by-expertise\u002Fquantitative-modeling).",{"title":558,"content":559},"In-Demand Skills & Employers","Top companies in [Deutschland](\u002Fsearch) that require R skills include [Münchener Hypothekenbank eG](\u002Fcompany\u002Fmuenchener-hypothekenbank-eg), [VHV Allgemeine Versierung AG](\u002Fcompany\u002Fvhv-allgemeine-versicherung-ag), [VHV Gruppe](\u002Fcompany\u002Fvhv-gruppe), [B. Metzler seel. Sohn & Co. Aktiengesellschaft](\u002Fcompany\u002Fb-metzler-seel-sohn-co-aktien-gesellschaft), and [Golding Capital Partners GmbH](\u002Fcompany\u002Fgolding-capital-partners-gmbh). These employers seek professionals with expertise in areas such as [risk management](\u002Fjobs-by-expertise\u002Frisk-management), [data analysis](\u002Fjobs-by-expertise\u002Fdata-analysis), [statistics](\u002Fjobs-by-expertise\u002Fstatistics), [quantitative analysis](\u002Fjobs-by-expertise\u002Fquantitative-analysis), [quantitative model development](\u002Fjobs-by-expertise\u002Fquantitative-model-development), [risk analysis](\u002Fjobs-by-expertise\u002Frisk-analysis), [probability of default (pd)](\u002Fjobs-by-expertise\u002Fprobability-of-default-pd), [loss given default (lgd)](\u002Fjobs-by-expertise\u002Floss-given-default-lgd), [scenario analysis](\u002Fjobs-by-expertise\u002Fscenario-analysis), and [data quality analysis](\u002Fjobs-by-expertise\u002Fdata-quality-analysis). R is used to support functions like [market pricing](\u002Fjobs-by-expertise\u002Fmarket-pricing), [product strategy development](\u002Fjobs-by-expertise\u002Fproduct-strategy-development), and [data analytics](\u002Fjobs-by-expertise\u002Fdata-analytics), making it indispensable for roles in these leading firms.",{"title":561,"content":562},"Career & Development","Career paths for R professionals in [Deutschland](\u002Fsearch) often start in roles like data analyst, quantitative analyst, or risk manager, with opportunities to advance to senior positions such as data scientist or head of analytics. To learn R, individuals can pursue online courses, certifications, or degrees in statistics, data science, or related fields. Combining R with other skills like [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql), [Excel](\u002Fjobs-by-skill\u002Fexcel), [VBA](\u002Fjobs-by-skill\u002Fvba), [SAS](\u002Fjobs-by-skill\u002Fsas), [PowerBI](\u002Fjobs-by-skill\u002Fpowerbi), [SmartView](\u002Fjobs-by-skill\u002Fsmartview), [Bloomberg](\u002Fjobs-by-skill\u002Fbloomberg), and [PowerPoint](\u002Fjobs-by-skill\u002Fpowerpoint) enhances employability. Relevant expertise includes [project management](\u002Fjobs-by-expertise\u002Fproject-management), [strategic project control](\u002Fjobs-by-expertise\u002Fstrategic-project-control), [data transformation](\u002Fjobs-by-expertise\u002Fdata-transformation), and [automation](\u002Fjobs-by-expertise\u002Fautomation), supporting growth in [Deutschland](\u002Fsearch)'s competitive job market through continuous learning and practical application.","skill:r:de","2026-08-17T09:02:15.734972+02:00",{"industry":566,"employment_type":578,"expertise_skills":584,"it_skills":634,"salary_currency":695,"processed_working_hours":697},[567,570,573,576],{"key":568,"label":56,"count":569},"insurance",8,{"key":571,"label":572,"count":569},"banking","Banking",{"key":574,"label":57,"count":575},"financial services",5,{"key":577,"label":74,"count":78},"asset management",[579,582],{"key":27,"label":580,"count":581},"PERMANENT",14,{"key":122,"label":583,"count":575},"STUDENT",[585,587,589,591,593,595,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632],{"key":586,"label":135,"slug":586,"count":575},"data-analysis",{"key":588,"label":53,"slug":588,"count":575},"risk-management",{"key":590,"label":159,"slug":590,"count":29},"statistics",{"key":592,"label":99,"slug":592,"count":29},"pricing",{"key":594,"label":75,"slug":594,"count":29},"product-development",{"key":596,"label":597,"slug":596,"count":29},"project-management","Project management",{"key":599,"label":163,"slug":599,"count":29},"model-validation",{"key":601,"label":383,"slug":601,"count":30},"tariff-development",{"key":603,"label":381,"slug":603,"count":30},"stochastic-modeling",{"key":605,"label":190,"slug":605,"count":30},"data-science",{"key":607,"label":493,"slug":607,"count":30},"risk-assessment",{"key":609,"label":105,"slug":609,"count":30},"risk-modeling",{"key":611,"label":50,"slug":611,"count":30},"internal-audit",{"key":613,"label":136,"slug":613,"count":30},"financial-market-analysis",{"key":615,"label":101,"slug":615,"count":30},"model-development",{"key":617,"label":252,"slug":617,"count":30},"process-optimization",{"key":619,"label":243,"slug":619,"count":30},"profitability-analysis",{"key":621,"label":219,"slug":621,"count":30},"reporting",{"key":623,"label":72,"slug":623,"count":30},"underwriting",{"key":625,"label":298,"slug":625,"count":30},"data-quality-management",{"key":627,"label":317,"slug":627,"count":30},"actuarial-science",{"key":629,"label":164,"slug":629,"count":78},"benchmark-analysis",{"key":631,"label":248,"slug":631,"count":78},"banking-products-knowledge",{"key":633,"label":67,"slug":633,"count":78},"anomaly-detection",[635,637,640,643,647,649,651,653,656,659,662,665,667,669,671,674,676,679,681,683,685,688,690,693],{"key":636,"label":33,"slug":636,"count":4},"r",{"key":638,"label":32,"slug":638,"count":639},"python",16,{"key":641,"label":34,"slug":641,"count":642},"sql",12,{"key":644,"label":645,"slug":644,"count":646},"sas","Sas",6,{"key":648,"label":93,"slug":648,"count":646},"ms-office",{"key":650,"label":233,"slug":650,"count":575},"ms-excel",{"key":652,"label":234,"slug":652,"count":29},"ms-powerpoint",{"key":654,"label":655,"slug":654,"count":30},"generative-ai","Generative Ai",{"key":657,"label":658,"slug":657,"count":30},"vba","Vba",{"key":660,"label":661,"slug":660,"count":30},"ms-powerbi","MS PowerBI",{"key":663,"label":664,"slug":663,"count":30},"pyspark","Pyspark",{"key":666,"label":312,"slug":666,"count":30},"java",{"key":668,"label":377,"slug":668,"count":30},"data-mining",{"key":670,"label":376,"slug":670,"count":30},"machine-learning",{"key":672,"label":673,"slug":672,"count":78},"machine-learning-techniques","Machine Learning Techniques",{"key":675,"label":404,"slug":675,"count":78},"abacus",{"key":677,"label":678,"slug":677,"count":78},"model-tracking","Model Tracking",{"key":680,"label":402,"slug":680,"count":78},"ms-access",{"key":183,"label":682,"slug":183,"count":78},"Numpy",{"key":182,"label":684,"slug":182,"count":78},"Pandas",{"key":686,"label":687,"slug":686,"count":78},"reproducible-pipelines","Reproducible Pipelines",{"key":184,"label":689,"slug":184,"count":78},"Scikit-Learn",{"key":691,"label":692,"slug":691,"count":78},"spss","Spss",{"key":694,"label":406,"slug":694,"count":78},"stata",[696],{"key":23,"label":23,"count":4},[698,699],{"key":26,"label":26,"count":639},{"key":154,"label":154,"count":646},{"total":701,"jobs":702},0,[]]