[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-insurance-mathematics-de":3,"job-search-\u002Fen-de\u002Fjobs-by-expertise\u002Finsurance-mathematics":33,"expertise-filters-\u002Fen-de\u002Fjobs-by-expertise\u002Finsurance-mathematics":194,"featured-jobs-\u002Fen-de\u002Fjobs-by-expertise\u002Finsurance-mathematics":303},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fexpertise\u002Finsurance-mathematics.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","Versicherungsmathematik spielt eine zentrale Rolle in der deutschen Versicherungsbranche und ist für die Stabilität des gesamten Finanzsystems in [Deutschland](\u002Fsearch) von entscheidender Bedeutung. Als Fundament der Risikobewertung und Prämiengestaltung gewährleistet diese Disziplin die langfristige Solvenz von Versicherungsunternehmen und schützt Versicherte vor finanziellen Unsicherheiten. In einer Zeit zunehmender regulatorischer Anforderungen und komplexer Risikoszenarien – von Klimawandel bis zu pandemiebedingten Ausfällen – ist die präzise mathematische Modellierung unverzichtbar.\n\nDie strategische Relevanz zeigt sich besonders in der [Risikoanalyse](\u002Fjobs-by-expertise\u002Frisk-analysis) und der Entwicklung nachhaltiger Versicherungsprodukte. Versicherungsmathematiker:innen in Deutschland tragen maßgeblich dazu bei, dass Unternehmen wie die [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) auch in volatilen Märkten stabil bleiben. Durch die Anwendung statistischer Methoden und die Erstellung von [Risikomodellen](\u002Fjobs-by-expertise\u002Frisk-models) können potenzielle Gefahren frühzeitig erkannt und bewertet werden. Dies ist nicht nur für die Unternehmen selbst, sondern auch für die Aufsichtsbehörden wie die BaFin von großer Bedeutung, die auf versicherungsmathematische Gutachten zur Regulierung des Sektors angewiesen sind.\n\nZudem unterstützt die Versicherungsmathematik die [Produktentwicklung](\u002Fjobs-by-expertise\u002Fproduct-development) und die [Prämienkalkulation](\u002Fjobs-by-expertise\u002Fpremium-calculation), um fairpreisige und attraktive Angebote für Kund:innen zu schaffen. In Deutschland, wo die Alterung der Bevölkerung die Nachfrage nach Altersvorsorgeprodukten erhöht, ist die Mathematik der [Pensionsversicherung](\u002Fjobs-by-expertise\u002Fpension-insurance-mathematics) besonders gefragt. Jobs in der Versicherungsmathematik bieten daher nicht nur sichere Karrierewege, sondern auch die Möglichkeit, gesellschaftlich relevante Beiträge zu leisten.",{"title":10,"content":11},"Top-Branchen & Standorte","In Deutschland konzentriert sich die Nachfrage nach Versicherungsmathematik auf Schlüsselbranchen und wirtschaftsstarke Standorte. Die [Versicherungsbranche](\u002Fjobs-by-industry\u002Finsurance) und [Versicherungs- und Finanzdienstleistungen](\u002Fjobs-by-industry\u002Finsurance-and-financial-services) sind die Hauptarbeitgeber, da hier mathematische Expertise für die Kernprozesse unverzichtbar ist. Große Versicherungskonzerne sowie spezialisierte Rückversicherer suchen kontinuierlich nach talentierten Mathematiker:innen, um ihre Geschäftsmodelle abzusichern und zu optimieren.\n\nGeografisch sind [Hamburg](\u002Fjobs-in-hamburg), [Koblenz](\u002Fjobs-in-koblenz) und [Stuttgart](\u002Fjobs-in-stuttgart) Hotspots für Jobs in diesem Bereich. Hamburg als Versicherungsmetropole Norddeutschlands beherbergt zahlreiche Gesellschaften, die auf [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und innovative Produkte setzen. In Koblenz sind traditionelle Versicherer wie die Debeka stark vertreten, die auf die Mathematik der Lebensversicherung spezialisiert sind. Stuttgart wiederum profitiert von seiner industriellen Basis und der Nachfrage nach Sachversicherungen, etwa in der [Automobilbranche](\u002Fjobs-by-industry\u002Fautomotive).\n\nNeben diesen Zentren gibt es Bedarf in ganz [Deutschland](\u002Fsearch), insbesondere in Städten mit Finanzdienstleistungsschwerpunkten. Die Branche der [Versicherungs- und Finanzdienstleistungen](\u002Fjobs-by-industry\u002Finsurance-and-financial-services) integriert versicherungsmathematisches Wissen zunehmend in digitale Lösungen, was die Standortvielfalt erhöht. Ob in der [Asset Management](\u002Fjobs-by-industry\u002Fasset-management)-Unterstützung oder der [Banking](\u002Fjobs-by-industry\u002Fbanking)-Kooperation – Versicherungsmathematik-Jobs sind vielseitig und regional breit gefächert.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Führende Versicherungsunternehmen in Deutschland setzen auf versicherungsmathematisches Know-how, um wettbewerbsfähig zu bleiben. Top-Arbeitgeber wie die [HanseMerkur Allgemeine Versicherung AG](\u002Fcompany\u002Fhansemerkur-allgemeine-versicherung-ag), [Debeka Lebensversicherungsverein a.G.](\u002Fcompany\u002Fdebeka-lebensversicherungsverein-a-g) und [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) suchen Expert:innen mit fundierten Kenntnissen in [Risikoanalyse](\u002Fjobs-by-expertise\u002Frisk-analysis), [Produktentwicklung](\u002Fjobs-by-expertise\u002Fproduct-development) und [Prämienkalkulation](\u002Fjobs-by-expertise\u002Fpremium-calculation). Diese Unternehmen nutzen Versicherungsmathematik, um nachhaltige Policen zu designen und regulatorische Vorgaben effizient umzusetzen.\n\nGefragte Expertise umfasst unter anderem die Entwicklung von [Risikomodellen](\u002Fjobs-by-expertise\u002Frisk-models) und [Preismodellen](\u002Fjobs-by-expertise\u002Fpricing-models), die in der [Rentenversicherungsmathematik](\u002Fjobs-by-expertise\u002Fpension-insurance-mathematics) besonders relevant sind. Die [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und das [Finanz-Controlling](\u002Fjobs-by-expertise\u002Ffinancial-controlling) ergänzen das Aufgabenspektrum, um die finanzielle Stabilität von Versicherungsportfolios zu gewährleisten. Zudem ist die [Prozessoptimierung](\u002Fjobs-by-expertise\u002Fprocess-optimization) ein Schlüsselbereich, in dem mathematische Methoden zur Effizienzsteigerung beitragen.\n\nDiese Skills werden in interdisziplinären Teams eingesetzt, etwa bei der [Due Diligence](\u002Fjobs-by-expertise\u002Fdue-diligence) für Fusionen oder der [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management)-Unterstützung. Arbeitgeber schätzen auch Kenntnisse in [Regulatory Compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance), da die Einhaltung von Aufsichtsrichtlinien wie Solvency II versicherungsmathematische Berechnungen erfordert. Jobs bei diesen Unternehmen bieten thus anspruchsvolle Aufgaben und Karrierechancen in einem stabilen Umfeld.",{"title":16,"content":17},"Karriere & Entwicklung","Eine Karriere in der Versicherungsmathematik in Deutschland beginnt typischerweise mit einem Studium der Mathematik, Statistik oder Wirtschaftsmathematik, oft mit Schwerpunkt auf Versicherungswesen. Praktika bei Unternehmen wie der [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) oder der [Debeka Lebensversicherungsverein a.G.](\u002Fcompany\u002Fdebeka-lebensversicherungsverein-a-g) bieten frühzeitige Branchenerfahrung. Der Einstieg gelingt über Traineeprogramme oder Junior-Positionen, in denen Grundlagen der [Prämienkalkulation](\u002Fjobs-by-expertise\u002Fpremium-calculation) und [Risikoanalyse](\u002Fjobs-by-expertise\u002Frisk-analysis) vertieft werden.\n\nFortbildungen zum Aktuar (z.B. über die DAV) sind essenziell für den Aufstieg und vermitteln vertiefte Kenntnisse in [Risikomodellen](\u002Fjobs-by-expertise\u002Frisk-models) und [mathematischer Modellierung](\u002Fjobs-by-expertise\u002Fmathematical-modeling). IT-Skills wie [SQL](\u002Fjobs-by-skill\u002Fsql), [R](\u002Fjobs-by-skill\u002Fr), [Python](\u002Fjobs-by-skill\u002Fpython) und [Excel](\u002Fjobs-by-skill\u002Fexcel) sind unverzichtbar, um große Datenmengen zu analysieren und [statistische Modellierung](\u002Fjobs-by-expertise\u002Fstatistical-modeling) effizient umzusetzen. Kenntnisse in [relationalen Datenbanken](\u002Fjobs-by-skill\u002Frelational-databases) unterstützen die Datenhaltung, während [Java](\u002Fjobs-by-skill\u002Fjava) und [LaTeX](\u002Fjobs-by-skill\u002Flatex) in spezifischen Anwendungen zum Einsatz kommen.\n\nDie Karriereentwicklung kann in Richtung [Portfolio Management](\u002Fjobs-by-expertise\u002Fportfolio-management), [Prozessoptimierung](\u002Fjobs-by-expertise\u002Fprocess-optimization) oder Führungsrollen verlaufen. Spezialisierungen auf [Rentenversicherungsmathematik](\u002Fjobs-by-expertise\u002Fpension-insurance-mathematics) oder [Versicherungstechnologie](\u002Fjobs-by-expertise\u002Finsurance-technology) eröffnen neue Perspektiven. Durch lebenslanges Lernen und den Erwerb von Zusatzqualifikationen in [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) oder [Regulatory Compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance) sichern sich Versicherungsmathematiker:innen in [Deutschland](\u002Fsearch) langfristig attraktive Jobs und Gehaltssteigerungen.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Insurance mathematics plays a crucial role in the financial stability and risk management framework of [Deutschland](\u002Fsearch), serving as the backbone of the insurance industry's operational and strategic decision-making processes. This specialized field combines mathematical modeling, statistical analysis, and financial theory to assess risks, calculate premiums, and ensure the long-term viability of insurance products. In Germany's highly regulated insurance market, insurance mathematicians (also known as actuaries) are essential for developing products that comply with regulatory standards while maintaining competitive pricing and profitability.\n\nWith Germany being one of Europe's largest insurance markets, the demand for skilled insurance mathematics professionals continues to grow. These experts help insurance companies navigate complex challenges such as demographic changes, climate-related risks, and evolving regulatory requirements like Solvency II. Their work directly impacts product development, risk assessment, and financial planning, making them indispensable for insurers operating in [Deutschland](\u002Fsearch). The strategic importance of insurance mathematics extends beyond traditional insurance products to include pension schemes, health insurance, and innovative insurtech solutions that are transforming the industry.",{"title":23,"content":24},"Top Industries & Locations","In [Deutschland](\u002Fsearch), insurance mathematics professionals find abundant opportunities across various sectors, with the [insurance](\u002Fjobs-by-industry\u002Finsurance) and [insurance and financial services](\u002Fjobs-by-industry\u002Finsurance-and-financial-services) industries being the primary employers. The German insurance sector, valued at over €200 billion annually, relies heavily on mathematical expertise for product development, risk assessment, and financial modeling. Major hubs for insurance mathematics careers include [Hamburg](\u002Fjobs-in-hamburg), home to numerous insurance companies and financial institutions; [Koblenz](\u002Fjobs-in-koblenz), known for its strong presence in the insurance sector; and [Stuttgart](\u002Fjobs-in-stuttgart), where automotive and insurance industries intersect.\n\nBeyond traditional insurance roles, professionals with insurance mathematics expertise are increasingly sought after in consulting firms, regulatory bodies, and financial institutions that deal with risk management and financial modeling. The growing insurtech sector in Germany also presents new opportunities for mathematicians to apply their skills in developing innovative insurance products and digital solutions. These locations offer not only employment opportunities but also access to professional networks, continuing education programs, and industry events that support career growth in insurance mathematics.",{"title":26,"content":27},"In-Demand Skills & Employers","Leading insurance companies in [Deutschland](\u002Fsearch) actively seek professionals with strong insurance mathematics backgrounds, with top employers including [HanseMerkur Allgemeine Versicherung AG](\u002Fcompany\u002Fhansemerkur-allgemeine-versicherung-ag), [Debeka Lebensversicherungsverein a.G.](\u002Fcompany\u002Fdebeka-lebensversicherungsverein-ag), and [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance). These industry giants require expertise in multiple areas to maintain their competitive edge and regulatory compliance.\n\nKey expertise areas in high demand include [product development](\u002Fjobs-by-expertise\u002Fproduct-development), [actuarial science](\u002Fjobs-by-expertise\u002Factuarial-science), [actuarial models](\u002Fjobs-by-expertise\u002Factuarial-models), [premium calculation](\u002Fjobs-by-expertise\u002Fpremium-calculation), and [risk analysis](\u002Fjobs-by-expertise\u002Frisk-analysis). Professionals must also demonstrate proficiency in [financial analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [mathematical modeling](\u002Fjobs-by-expertise\u002Fmathematical-modeling), and [pricing models](\u002Fjobs-by-expertise\u002Fpricing-models). The ability to conduct [impact analysis of premium adjustments](\u002Fjobs-by-expertise\u002Fimpact-analysis) and develop sophisticated [risk models](\u002Fjobs-by-expertise\u002Frisk-models) is particularly valued. Additionally, expertise in [process optimization](\u002Fjobs-by-expertise\u002Fprocess-optimization) and [interdisciplinary project work](\u002Fjobs-by-expertise\u002Finterdisciplinary-project-work) helps insurance mathematicians collaborate effectively across departments to implement mathematical solutions that drive business success.",{"title":29,"content":30},"Career & Development","A career in insurance mathematics in [Deutschland](\u002Fsearch) typically begins with a strong mathematical or statistical education, often followed by professional certification through organizations like the German Actuarial Society (DAV). Entry-level positions focus on technical calculations and model development, while senior roles involve strategic decision-making, product management, and regulatory compliance oversight.\n\nCareer progression often involves developing expertise in specialized areas such as [financial controlling](\u002Fjobs-by-expertise\u002Ffinancial-controlling), [portfolio management](\u002Fjobs-by-expertise\u002Fportfolio-management), and [strategic decision making](\u002Fjobs-by-expertise\u002Fstrategic-decision-making). Professionals should master essential IT skills including [SQL](\u002Fjobs-by-skill\u002Fsql), [R](\u002Fjobs-by-skill\u002Fr), [Python](\u002Fjobs-by-skill\u002Fpython), and [Excel](\u002Fjobs-by-skill\u002Fexcel), along with proficiency in [relational databases](\u002Fjobs-by-skill\u002Frelational-databases) and statistical software. Continuous learning is crucial, with many professionals pursuing advanced degrees or specialized certifications in areas like [risk management](\u002Fjobs-by-expertise\u002Frisk-management) and [regulatory compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance). The German market also values expertise in emerging areas such as [insurance technology](\u002Fjobs-by-expertise\u002Finsurance-technology) and [statistical modeling](\u002Fjobs-by-expertise\u002Fstatistical-modeling), offering diverse career paths from traditional actuarial roles to innovative positions in digital transformation and data science within the insurance sector.","expertise:insurance-mathematics:de","2026-08-17T09:12:08.791030+02:00",{"total":34,"jobs":35},5,[36,80,114,134,158],{"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":58,"processed_it_skills":59,"processed_it_skills_labels":61,"processed_job_expertise_skills":68,"processed_job_expertise_skills_labels":70,"max_cpc":79,"actual_cpc":79},71276,"referent-im-referat-fk4-in-der-abteilung-produktentwicklung-und-aktuariatfachkonzepte-wmd-allianz-insurance","Referent im Referat FK4 in der Abteilung Produktentwicklung und Aktuariat\u002FFachkonzepte (w\u002Fm\u002Fd)",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],"Stuttgart",[49],"DE","hybrid",60000,80000,"EUR","estimated",[56,57],"FULL_TIME","PART_TIME","permanent",{"abs":60,"ivt":60,"pdb":60,"tdh":60,"ivtk":60,"ai tools":60},3,[62,63,64,65,66,67],"IVT","IVTK","PDB","TDH","ABS","AI tools",{"data quality":60,"data consistency":60,"product knowledge":69,"project management":60,"software acceptance":60,"software conception":60,"insurance mathematics":69,"actuarial product design":69},4,[71,72,73,74,75,76,77,78],"Actuarial product design","Insurance mathematics","Software conception","Software acceptance","Project management","Data consistency","Data quality","Product knowledge",1,{"id":81,"slug":82,"title":83,"raw_title":40,"is_featured":41,"company":84,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":85,"processed_country_iso_code_gmaps":87,"processed_home_office":50,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":90,"processed_employment_types":58,"processed_it_skills":91,"processed_it_skills_labels":93,"processed_job_expertise_skills":102,"processed_job_expertise_skills_labels":103,"max_cpc":79,"actual_cpc":79},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":43,"slug":44,"logo_url":45},[86],"Unterföhring (bei München)",[49],55000,70000,[56,57],{"r":60,"sql":60,"java":92,"python":60,"pyspark":60,"data mining":60,"generative ai":92,"machine learning":60},2,[94,95,96,97,98,99,100,101],"Python","PySpark","R","Java","SQL","Machine Learning","Data Mining","Generative AI",{"pricing":60,"data analysis":60,"data modeling":60,"risk modeling":60,"actuarial science":60,"tariff development":60,"product development":60,"stochastic modeling":60,"insurance mathematics":60,"tariff implementation":60},[104,105,106,107,108,109,110,111,112,113],"Actuarial Science","Insurance Mathematics","Stochastic Modeling","Risk Modeling","Pricing","Product Development","Data Analysis","Data Modeling","Tariff Development","Tariff Implementation",{"id":115,"slug":116,"title":117,"raw_title":40,"is_featured":41,"company":118,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":119,"processed_country_iso_code_gmaps":120,"processed_home_office":50,"processed_salary_min":121,"processed_salary_max":122,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":123,"processed_employment_types":124,"processed_it_skills":125,"processed_it_skills_labels":126,"processed_job_expertise_skills":127,"processed_job_expertise_skills_labels":128,"max_cpc":79,"actual_cpc":79},41230,"master-2027-duales-studium-wirtschaftsmathematiker-mwd-allianz-insurance","Master 2027 - Duales Studium Wirtschaftsmathematiker (m\u002Fw\u002Fd)",{"name":43,"slug":44,"logo_url":45},[47],[49],25000,35000,[56],"student",{},[],{"actuarial science":60,"pension mathematics":60,"financial controlling":92,"financial mathematics":60,"insurance mathematics":60,"mathematical modeling":60,"balance sheet valuation":92},[104,129,105,130,131,132,133],"Financial Mathematics","Pension Mathematics","Mathematical Modeling","Financial Controlling","Balance Sheet Valuation",{"id":135,"slug":136,"title":137,"raw_title":40,"is_featured":41,"company":138,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":141,"processed_country_iso_code_gmaps":143,"processed_home_office":144,"processed_salary_min":52,"processed_salary_max":145,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":146,"processed_employment_types":58,"processed_it_skills":147,"processed_it_skills_labels":148,"processed_job_expertise_skills":149,"processed_job_expertise_skills_labels":150,"max_cpc":79,"actual_cpc":79},40677,"abteilungsleitung-tarifentwicklung-komposit-mwd-volkswohl-bund-lebensversicherung-ag-2","Abteilungsleitung Tarifentwicklung Komposit (m\u002Fw\u002Fd)",{"name":139,"slug":140,"logo_url":40},"Volkswohl-Bund Lebensversicherung a.G.","volkswohl-bund-lebensversicherung-ag",[142],"Dortmund",[49],"onsite",120000,[56],{},[],{"risk analysis":69,"profit testing":69,"actuarial science":69,"quality assurance":60,"project management":60,"tariff calculation":69,"product development":69,"process optimization":60,"insurance mathematics":69,"contribution margin calculation":69},[104,105,151,152,153,154,109,155,156,157],"Tariff Calculation","Risk Analysis","Profit Testing","Contribution Margin Calculation","Project Management","Process Optimization","Quality Assurance",{"id":159,"slug":160,"title":161,"raw_title":40,"is_featured":41,"company":162,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":163,"processed_country_iso_code_gmaps":165,"processed_home_office":50,"processed_salary_min":166,"processed_salary_max":167,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":168,"processed_employment_types":124,"processed_it_skills":169,"processed_it_skills_labels":170,"processed_job_expertise_skills":175,"processed_job_expertise_skills_labels":176,"max_cpc":79,"actual_cpc":193},9353,"praktikant-fuer-das-pricing-aktuariat-mwd-allianz-insurance","Praktikant für das Pricing Aktuariat (m\u002Fw\u002Fd)",{"name":43,"slug":44,"logo_url":45},[164],"Unterföhring",[49],36000,45000,[56],{"ms office":60,"data mining tools":60,"data analysis tools":60,"machine learning tools":60},[171,172,173,174],"MS Office","Data Analysis Tools","Machine Learning Tools","Data Mining Tools",{"reporting":60,"statistics":69,"backtesting":60,"data mining":69,"risk models":69,"lapse models":69,"project work":60,"underwriting":60,"data analysis":69,"data modeling":69,"pricing tools":60,"data collection":60,"impact analysis":60,"data preparation":60,"machine learning":69,"technical pricing":69,"actuarial analysis":69,"product development":60,"process optimization":60,"actuarial methodology":69,"financial mathematics":60,"insurance mathematics":60,"strategic initiatives":60,"stochastic forecasting models":69},[177,178,179,180,110,111,99,181,100,182,183,156,184,185,109,186,187,188,189,190,191,192,129,105],"Stochastic Forecasting Models","Risk Models","Lapse Models","Technical Pricing","Statistics","Actuarial Methodology","Data Collection","Project Work","Strategic Initiatives","Impact Analysis","Pricing Tools","Underwriting","Actuarial Analysis","Reporting","Data 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