[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-de\u002Fjobs-by-skill\u002Fpython?page=7":3,"seo-content-skill-python-de":49,"featured-jobs-\u002Fde-de\u002Fjobs-by-skill\u002Fpython?page=7":79,"skill-page-filters-\u002Fde-de\u002Fjobs-by-skill\u002Fpython?page=7":82},{"total":4,"jobs":5},121,[6],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":36,"processed_job_expertise_skills_labels":37,"max_cpc":47,"actual_cpc":48},10840,"risikomanagerin-aktuarin-validierung-hdi-ag","Risikomanager:in \u002F Aktuar:in Validierung ",null,false,{"name":13,"slug":14,"logo_url":10},"HDI AG","hdi-ag",[16],"Hannover",[18],"DE","onsite",65000,85000,"EUR","estimated",[25],"FULL_TIME","permanent",{"r":28,"sql":28,"vba":28,"python":28,"ms office":29},3,4,[31,32,33,34,35],"MS Office","R","SQL","Python","VBA",{"solvency ii":29,"risk management":29,"model validation":29,"market risk modeling":29,"risk capital calculation":29,"cross-functional teamwork":29,"internal model validation":29,"economic scenario analysis":29,"life insurance risk modeling":29},[38,39,40,41,42,43,44,45,46],"Risk management","Solvency II","Internal model validation","Market risk modeling","Life insurance risk modeling","Economic scenario analysis","Risk capital calculation","Model validation","Cross-functional teamwork",1,0.8,{"image_path":50,"content_de":51,"content_en":64,"composite_key":77,"last_updated":78},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":52,"tab2":55,"tab3":58,"tab4":61},{"title":53,"content":54},"Bedeutung & Relevanz","Python hat sich in [Deutschland](\u002Fsearch) zu einer der wichtigsten Programmiersprachen im Finanzsektor entwickelt. Seine Vielseitigkeit und Benutzerfreundlichkeit machen es ideal für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis), [automatisierte Prozesse](\u002Fjobs-by-expertise\u002Fautomation-process-enhancement) und [künstliche Intelligenz](\u002Fjobs-by-expertise\u002Fartificial-intelligence). In Bereichen wie [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Versicherung](\u002Fjobs-by-industry\u002Finsurance) wird Python für [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management), [quantitative Analyse](\u002Fjobs-by-expertise\u002Fquantitative-analysis) und [Datenmodellierung](\u002Fjobs-by-expertise\u002Fdata-modeling) eingesetzt. Die Nachfrage nach Python-Kenntnissen wächst stetig, da Unternehmen effizientere Lösungen für [Finanzmarktanalyse](\u002Fjobs-by-expertise\u002Ffinancial-market-analysis) und [Datenintegration](\u002Fjobs-by-expertise\u002Fdata-integration) suchen.",{"title":56,"content":57},"Top-Branchen & Standorte","Python ist in [Deutschland](\u002Fsearch) besonders in [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services), [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Versicherung](\u002Fjobs-by-industry\u002Finsurance) gefragt. Top-Standorte mit hohem Bedarf sind [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main), [München](\u002Fjobs-in-muenchen), [Hamburg](\u002Fjobs-in-hamburg) und [Hannover](\u002Fjobs-in-hannover). In [Köln](\u002Fjobs-in-koeln) und [Essen](\u002Fjobs-in-essen) wird Python für [Datenanalyse und Business Intelligence](\u002Fjobs-by-industry\u002Fdata-analysis-and-business-intelligence) genutzt. [Lindau](\u002Fjobs-in-lindau) und [Bad Homburg vor der Höhe](\u002Fjobs-in-bad-homburg-vor-der-hoehe) sind wichtige Standorte für [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management) und [Immobilienbanking](\u002Fjobs-by-industry\u002Freal-estate-banking).",{"title":59,"content":60},"Gefragte Skills & Arbeitgeber","Führende Unternehmen wie [Münchener Hypothekenbank eG](\u002Fcompany\u002Fmuenchener-hypothekenbank-eg), [VHV Allgemeine Versicherung AG](\u002Fcompany\u002Fvhv-allgemeine-versicherung-ag) und [Donner & Reuschel AG](\u002Fcompany\u002Fdonner-und-reuschel-ag) suchen Python-Experten für [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management), [Datenqualitätsüberwachung](\u002Fjobs-by-expertise\u002Fdata-quality-monitoring) und [Risikoanalyse](\u002Fjobs-by-expertise\u002Frisk-analysis). Weitere Arbeitgeber sind [FERI AG](\u002Fcompany\u002Fferi-ag), [Hannoversche Volksbank eG](\u002Fcompany\u002Fhannoversche-volksbank-eg) und [Gothaer Solutions GmbH](\u002Fcompany\u002Fgothaer-solutions-gmbh). Gefragte Expertise umfasst [ETL-Prozesse](\u002Fjobs-by-expertise\u002Fetl-processes), [Performance-Optimierung](\u002Fjobs-by-expertise\u002Fperformance-optimization) und [quantitative Modellentwicklung](\u002Fjobs-by-expertise\u002Fquantitative-model-development).",{"title":62,"content":63},"Karriere & Entwicklung","Karrierewege mit Python in [Deutschland](\u002Fsearch) reichen vom [Datenanalysten](\u002Fjobs-by-expertise\u002Fdata-analysis) bis zum [Machine Learning Engineer](\u002Fjobs-by-expertise\u002Fmachine-learning). Empfohlene Lernressourcen umfassen Online-Kurse und Zertifizierungen. Kombinieren Sie Python mit [SQL](\u002Fjobs-by-skill\u002Fsql), [R](\u002Fjobs-by-skill\u002Fr) und [AWS](\u002Fjobs-by-skill\u002Faws) für bessere Jobchancen. [DevOps](\u002Fjobs-by-expertise\u002Fdevops), [Cloud-Migration](\u002Fjobs-by-expertise\u002Fcloud-migration) und [Datenbanksicherheit](\u002Fjobs-by-expertise\u002Fdata-security) sind verwandte Skills. Unternehmen fördern oft interne Schulungen für [CI\u002FCD-Pipelines](\u002Fjobs-by-expertise\u002Fci-cd-pipelines) und [Infrastructure as Code](\u002Fjobs-by-expertise\u002Finfrastructure-as-code).",{"tab1":65,"tab2":68,"tab3":71,"tab4":74},{"title":66,"content":67},"Strategic Importance","Python has become a cornerstone of the financial industry in [Deutschland](\u002Fsearch), driving innovation and efficiency across various sectors. Its versatility and ease of use make it indispensable for tasks ranging from data analysis and automation to complex financial modeling and [Artificial Intelligence](\u002Fjobs-by-industry\u002Fartificial-intelligence) implementations. In [Deutschland](\u002Fsearch), Python is highly valued for its ability to handle large datasets, integrate with other technologies, and support agile development practices, which are crucial in fast-paced environments like [Banking](\u002Fjobs-by-industry\u002Fbanking) and [Insurance](\u002Fjobs-by-industry\u002Finsurance). The language's extensive libraries, such as Pandas for data manipulation and Scikit-learn for machine learning, empower professionals to perform sophisticated analyses, enhance [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), and optimize [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management) processes. As [Deutschland](\u002Fsearch) continues to embrace digital transformation, Python's role in fostering innovation and maintaining competitive advantage in the global market cannot be overstated, making it a must-have skill for anyone in the financial sector.",{"title":69,"content":70},"Top Industries & Locations","In [Deutschland](\u002Fsearch), Python is in high demand across key industries such as [Insurance](\u002Fjobs-by-industry\u002Finsurance), [Banking](\u002Fjobs-by-industry\u002Fbanking), [Finance](\u002Fjobs-by-industry\u002Ffinance), [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management), and [Data Analysis and Business Intelligence](\u002Fjobs-by-industry\u002Fdata-analysis-and-business-intelligence). Top locations where this skill is sought after include [Hannover](\u002Fjobs-in-hannover), known for its strong insurance sector; [München](\u002Fjobs-in-muenchen), a hub for [Banking](\u002Fjobs-by-industry\u002Fbanking) and technology; [Hamburg](\u002Fjobs-in-hamburg), with its diverse financial services; [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main), the heart of Germany's financial industry; and [Köln](\u002Fjobs-in-koeln), which has a growing fintech scene. Other notable areas include [Bad Homburg vor der Höhe](\u002Fjobs-in-bad-homburg-vor-der-hoehe), [Mainhausen](\u002Fjobs-in-mainhausen), [Essen](\u002Fjobs-in-essen), and [Lindau](\u002Fjobs-in-lindau), where Python is used for tasks like data integration, automation, and financial analysis, supporting local economies and driving innovation in these regions.",{"title":72,"content":73},"In-Demand Skills & Employers","Top companies in [Deutschland](\u002Fsearch) that require Python skills include [Münchener Hypothekenbank eG](\u002Fcompany\u002Fmuenchener-hypothekenbank-eg), [VHV Allgemeine Versicherung AG](\u002Fcompany\u002Fvhv-allgemeine-versicherung-ag), [B. Metzler seel. Sohn & Co. Aktiengesellschaft](\u002Fcompany\u002Fb-metzler-seel-sohn-and-co-aktien-gesellschaft), [Donner & Reuschel AG](\u002Fcompany\u002Fdonner-and-reuschel-ag), [FERI AG](\u002Fcompany\u002Fferi-ag), [Hannoversche Volksbank eG](\u002Fcompany\u002Fhannoversche-volksbank-eg), and [Gothaer Solutions GmbH](\u002Fcompany\u002Fgothaer-solutions-gmbh). These employers seek professionals with expertise in [Data Analysis](\u002Fjobs-by-expertise\u002Fdata-analysis), [Data Modeling](\u002Fjobs-by-expertise\u002Fdata-modeling), [Automation](\u002Fjobs-by-expertise\u002Fautomation), [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), [Performance Analysis](\u002Fjobs-by-expertise\u002Fperformance-analysis), and [Process Optimization](\u002Fjobs-by-expertise\u002Fprocess-optimization). Python is often used in conjunction with skills like [Financial Market Analysis](\u002Fjobs-by-expertise\u002Ffinancial-market-analysis), [Asset Allocation](\u002Fjobs-by-expertise\u002Fasset-allocation), and [Quantitative Analysis](\u002Fjobs-by-expertise\u002Fquantitative-analysis) to develop solutions for portfolio management, econometric models, and AI implementations, making it a critical tool for driving business success in these organizations.",{"title":75,"content":76},"Career & Development","A career path involving Python in [Deutschland](\u002Fsearch) often starts with roles like Data Analyst or Junior Developer, progressing to positions such as Data Scientist, Quantitative Analyst, or DevOps Engineer. To learn Python, aspiring professionals can take online courses, attend bootcamps, or pursue degrees in fields like Computer Science or [Finance](\u002Fjobs-by-industry\u002Ffinance). Combining Python with related expertise such as [Machine Learning](\u002Fjobs-by-expertise\u002Fmachine-learning), [Data Integration](\u002Fjobs-by-expertise\u002Fdata-integration), and [Cloud Infrastructure](\u002Fjobs-by-expertise\u002Fcloud-infrastructure) enhances career prospects. Top related IT skills to pair with Python include [SQL](\u002Fjobs-by-skill\u002Fsql), [AWS](\u002Fjobs-by-skill\u002Faws), [Power BI](\u002Fjobs-by-skill\u002Fpower-bi), [Java](\u002Fjobs-by-skill\u002Fjava), and [Terraform](\u002Fjobs-by-skill\u002Fterraform), which are essential for roles in data engineering, [Automation](\u002Fjobs-by-expertise\u002Fautomation), and [CI\u002FCD Pipelines](\u002Fjobs-by-expertise\u002Fci-cd-pipelines). Continuous learning through certifications and hands-on projects is key to advancing in this dynamic field within [Deutschland](\u002Fsearch)'s financial sector.","skill:python:de","2026-08-17T09:01:41.013748+02:00",{"total":80,"jobs":81},0,[],{"industry":83,"employment_type":144,"expertise_skills":155,"it_skills":235,"salary_currency":310,"processed_working_hours":312},[84,88,92,96,100,104,107,111,114,117,120,123,126,129,132,135,138,141],{"key":85,"label":86,"count":87},"insurance","Insurance",56,{"key":89,"label":90,"count":91},"financial services","Financial Services",30,{"key":93,"label":94,"count":95},"banking","Banking",19,{"key":97,"label":98,"count":99},"asset management","Asset Management",10,{"key":101,"label":102,"count":103},"financial technology","Financial Technology",9,{"key":105,"label":106,"count":29},"private equity","Private Equity",{"key":108,"label":109,"count":110},"assistance","Assistance",2,{"key":112,"label":113,"count":47},"software","Software",{"key":115,"label":116,"count":47},"sustainability","Sustainability",{"key":118,"label":119,"count":47},"risk assessment","Risk Assessment",{"key":121,"label":122,"count":47},"environmental services","Environmental Services",{"key":124,"label":125,"count":47},"services","Services",{"key":127,"label":128,"count":47},"finance","Finance",{"key":130,"label":131,"count":47},"consumer finance","Consumer Finance",{"key":133,"label":134,"count":47},"payment processing","Payment Processing",{"key":136,"label":137,"count":47},"automotive","Automotive",{"key":139,"label":140,"count":47},"mobility","Mobility",{"key":142,"label":143,"count":47},"wealth management","Wealth Management",[145,148,152],{"key":26,"label":146,"count":147},"PERMANENT",90,{"key":149,"label":150,"count":151},"student","STUDENT",28,{"key":153,"label":154,"count":28},"temporary","TEMPORARY",[156,160,164,167,171,174,177,181,184,188,191,195,199,202,205,208,211,214,217,220,223,226,229,232],{"key":157,"label":158,"slug":157,"count":159},"data-analysis","Data Analysis",23,{"key":161,"label":162,"slug":161,"count":163},"automation","Automation",15,{"key":165,"label":166,"slug":165,"count":163},"reporting","Reporting",{"key":168,"label":169,"slug":168,"count":170},"machine-learning","Machine Learning",12,{"key":172,"label":173,"slug":172,"count":99},"project-management","Project management",{"key":175,"label":176,"slug":175,"count":103},"risk-management","Risk Management",{"key":178,"label":179,"slug":178,"count":180},"data-analytics","Data Analytics",8,{"key":182,"label":183,"slug":182,"count":180},"prototyping","Prototyping",{"key":185,"label":186,"slug":185,"count":187},"process-automation","Process Automation",7,{"key":189,"label":190,"slug":189,"count":187},"data-science","Data Science",{"key":192,"label":193,"slug":192,"count":194},"quantitative-analysis","Quantitative Analysis",6,{"key":196,"label":197,"slug":196,"count":198},"data-visualization","Data Visualization",5,{"key":200,"label":201,"slug":200,"count":198},"devops","Devops",{"key":203,"label":204,"slug":203,"count":198},"derivatives","Derivatives",{"key":206,"label":207,"slug":206,"count":198},"portfolio-management","Portfolio Management",{"key":209,"label":210,"slug":209,"count":198},"process-improvement","Process Improvement",{"key":212,"label":213,"slug":212,"count":198},"platform-engineering","Platform Engineering",{"key":215,"label":216,"slug":215,"count":198},"stakeholder-management","Stakeholder Management",{"key":218,"label":219,"slug":218,"count":198},"regulatory-compliance","Regulatory Compliance",{"key":221,"label":222,"slug":221,"count":198},"product-development","Product Development",{"key":224,"label":225,"slug":224,"count":29},"data-management","Data Management",{"key":227,"label":228,"slug":227,"count":29},"process-optimization","Process Optimization",{"key":230,"label":231,"slug":230,"count":29},"generative-ai","Generative Ai",{"key":233,"label":234,"slug":233,"count":29},"code-review","Code Review",[236,238,241,245,249,252,256,260,263,266,269,272,274,277,280,283,286,289,292,295,298,301,304,307],{"key":237,"label":34,"slug":237,"count":4},"python",{"key":239,"label":33,"slug":239,"count":240},"sql",49,{"key":242,"label":243,"slug":242,"count":244},"cicd","Ci\u002FCd",22,{"key":246,"label":247,"slug":246,"count":248},"ms-excel","MS Excel",21,{"key":250,"label":251,"slug":250,"count":163},"kubernetes","Kubernetes",{"key":253,"label":254,"slug":253,"count":255},"ms-powerbi","MS PowerBI",14,{"key":257,"label":258,"slug":257,"count":259},"docker","Docker",13,{"key":261,"label":262,"slug":261,"count":259},"java","Java",{"key":264,"label":265,"slug":264,"count":170},"vba","Vba",{"key":267,"label":32,"slug":267,"count":268},"r",11,{"key":270,"label":271,"slug":270,"count":103},"terraform","Terraform",{"key":273,"label":31,"slug":273,"count":103},"ms-office",{"key":275,"label":276,"slug":275,"count":103},"git","Git",{"key":278,"label":279,"slug":278,"count":103},"aws","Aws",{"key":281,"label":282,"slug":281,"count":187},"postgresql","Postgresql",{"key":284,"label":285,"slug":284,"count":187},"ms-azure","MS Azure",{"key":287,"label":288,"slug":287,"count":187},"github-actions","Github Actions",{"key":290,"label":291,"slug":290,"count":194},"rest-apis","Rest Apis",{"key":293,"label":294,"slug":293,"count":194},"sas","Sas",{"key":296,"label":297,"slug":296,"count":194},"linux","Linux",{"key":299,"label":300,"slug":299,"count":194},"databricks","Databricks",{"key":302,"label":303,"slug":302,"count":194},"javascript","Javascript",{"key":305,"label":306,"slug":305,"count":198},"powershell","Powershell",{"key":308,"label":309,"slug":308,"count":198},"kafka","Kafka",[311],{"key":22,"label":22,"count":4},[313,315],{"key":25,"label":25,"count":314},103,{"key":316,"label":316,"count":244},"PART_TIME"]