[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-ch\u002Fjobs-by-skill\u002Fpython?page=2":3,"seo-content-skill-python-ch":138,"skill-page-filters-\u002Fen-ch\u002Fjobs-by-skill\u002Fpython?page=2":168,"featured-jobs-\u002Fen-ch\u002Fjobs-by-skill\u002Fpython?page=2":341},{"total":4,"jobs":5},24,[6,47,74,109],{"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":35,"processed_job_expertise_skills_labels":36,"max_cpc":45,"actual_cpc":46},48068,"valuation-controller-100-fmd-ch10-bjb-bank-julius-baer-amp-co-ltd","Valuation Controller 100% (f\u002Fm\u002Fd)",null,false,{"name":13,"slug":14,"logo_url":10},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[16],"Zürich",[18],"CH","hybrid",120000,150000,"CHF","estimated",[25],"FULL_TIME","permanent",{"sql":28,"python":29,"dataiku":29,"tableau":28},3,4,[31,32,33,34],"Python","Dataiku","SQL","Tableau",{"automation":28,"model validation":28,"valuation control":29,"process improvement":28,"fair value governance":29,"financial instruments knowledge":29,"prudent valuation adjustments (pva)":29,"independent price verification (ipv)":29},[37,38,39,40,41,42,43,44],"Valuation Control","Independent Price Verification (IPV)","Prudent Valuation Adjustments (PVA)","Fair Value Governance","Financial Instruments Knowledge","Model Validation","Process Improvement","Automation",1,1.2,{"id":48,"slug":49,"title":50,"raw_title":10,"is_featured":11,"company":51,"raw_hiringOrganization_logo_url":54,"processed_city_gmaps":55,"processed_country_iso_code_gmaps":56,"processed_home_office":19,"processed_salary_min":57,"processed_salary_max":58,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":59,"processed_employment_types":26,"processed_it_skills":61,"processed_it_skills_labels":63,"processed_job_expertise_skills":65,"processed_job_expertise_skills_labels":66,"max_cpc":45,"actual_cpc":46},43405,"senior-data-migration-engineer-investment-finance-80-100-mwd-qplix-gmbh","(Senior) Data Migration Engineer - Investment Finance | 80-100% (m\u002Fw\u002Fd)",{"name":52,"slug":53,"logo_url":10},"QPLIX GmbH","qplix-gmbh","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F14583\u002Fsocial\u002Fa333a104635cf76ef0048b560e6cdf42.svg",[16],[18],100000,140000,[25,60],"PART_TIME",{"sql":28,"python":29,"mongodb":62},2,[31,33,64],"MongoDB",{"consulting":28,"data analysis":29,"data migration":29,"process automation":28,"financial knowledge":29,"interface management":29,"data quality assurance":29},[67,68,69,70,71,72,73],"Data Migration","Data Quality Assurance","Interface Management","Process Automation","Data Analysis","Consulting","Financial Knowledge",{"id":75,"slug":76,"title":77,"raw_title":10,"is_featured":11,"company":78,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":79,"processed_country_iso_code_gmaps":80,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":81,"processed_employment_types":26,"processed_it_skills":82,"processed_it_skills_labels":83,"processed_job_expertise_skills":99,"processed_job_expertise_skills_labels":100,"max_cpc":45,"actual_cpc":46},48055,"system-engineer-infrastructure-automation-100-fmd-ch10-bjb-bank-julius-baer-amp-co-ltd","System Engineer - Infrastructure Automation 100% (f\u002Fm\u002Fd)",{"name":13,"slug":14,"logo_url":10},[16],[18],[25],{"git":28,"nsx":28,"ci\u002Fcd":28,"cisco":28,"linux":28,"golang":29,"python":28,"windows":28,"crossplane":29,"javascript":28,"kubernetes":29,"powershell":28,"vmware vsphere":28,"active directory":28,"vrealize automation":29,"vrealize orchestrator":29},[84,85,86,87,88,89,90,91,92,31,93,94,95,96,97,98],"Golang","Kubernetes","Crossplane","vRealize Automation","vRealize Orchestrator","CI\u002FCD","Git","JavaScript","PowerShell","VMware vSphere","NSX","Windows","Linux","Active Directory","Cisco",{"virtualization":29,"cloud computing":29,"agile methodologies":28,"stakeholder management":28,"technical documentation":28,"infrastructure automation":29,"it service management (itil)":28,"technical project management":28},[101,102,103,104,105,106,107,108],"Infrastructure Automation","Cloud Computing","Virtualization","IT Service Management (ITIL)","Agile Methodologies","Technical Project Management","Stakeholder Management","Technical Documentation",{"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":119,"processed_salary_min":120,"processed_salary_max":121,"processed_salary_currency":122,"processed_salary_source":23,"processed_working_hours":123,"processed_employment_types":26,"processed_it_skills":124,"processed_it_skills_labels":125,"processed_job_expertise_skills":132,"processed_job_expertise_skills_labels":133,"max_cpc":45,"actual_cpc":46},52181,"compliance-analytics-amp-insights-manager-uob-vietnam","Compliance Analytics & Insights Manager",{"name":114,"slug":115,"logo_url":10},"UOB Vietnam","uob-vietnam",[117],"Ho",[18],"onsite",600000000,900000000,"VND",[25],{"nlp":28,"sql":29,"python":29,"data modeling":29,"data pipeline":29,"data engineering":29,"machine learning":28,"network link analysis":28},[31,33,126,127,128,129,130,131],"Data Engineering","Machine Learning","Data Pipeline","Data Modeling","NLP","Network Link Analysis",{"data analysis":29,"risk management":28,"model validation":29,"aml\u002Fafc compliance":28,"project management":28,"root cause analysis":29},[71,42,134,135,136,137],"Risk Management","AML\u002FAFC Compliance","Root Cause Analysis","Project Management",{"image_path":139,"content_de":140,"content_en":153,"composite_key":166,"last_updated":167},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":141,"tab2":144,"tab3":147,"tab4":150},{"title":142,"content":143},"Bedeutung & Relevanz","**Python** hat sich in der **Schweiz** zu einer der wichtigsten Programmiersprachen im Finanzsektor entwickelt. Seine strategische Bedeutung liegt in der vielseitigen Anwendbarkeit für Datenanalyse, Automatisierung und künstliche Intelligenz – Bereiche, die im schweizerischen Banken- und Versicherungswesen zunehmend an Bedeutung gewinnen. Mit **Python** können Finanzinstitute komplexe **Finanzmodelle** erstellen, **Risikoanalysen** durchführen und **Prozesse automatisieren**, was zu effizienteren Abläufen und besseren Entscheidungsgrundlagen führt.\n\nIn der **Schweiz**, wo Präzision und Innovation im Finanzsektor hoch geschätzt werden, ermöglicht **Python** die Entwicklung skalierbarer Lösungen für **Portfolio-Management**, **Compliance-Management** und **Datenvisualisierung**. Die Integration von **Generative AI** und **Machine Learning** in Finanzanwendungen wird durch **Python** vereinfacht, was die Wettbewerbsfähigkeit schweizerischer Unternehmen wie [Bank Vontobel AG](\u002Fcompany\u002Fbank-vontobel-ag) und [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) stärkt. Die Sprache unterstützt zudem agile Entwicklungsmethoden und trägt so zur schnellen Anpassung an regulatorische Anforderungen bei.",{"title":145,"content":146},"Top-Branchen & Standorte","In der **Schweiz** ist die Nachfrage nach **Python**-Kenntnissen besonders in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) hoch. Diese Branchen nutzen **Python** für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und die Automatisierung von [Banking-Prozessen](\u002Fjobs-by-expertise\u002Fbanking-processes). Auch die [Versicherungsbranche](\u002Fjobs-by-industry\u002Finsurance) setzt vermehrt auf **Python**, um [Solvency II-Berechnungen](\u002Fjobs-by-expertise\u002Fsolvency-ii-calculations) und [Reserving-Analysen](\u002Fjobs-by-expertise\u002Freserving-analysis) zu optimieren.\n\nGeografisch konzentriert sich die Nachfrage auf wirtschaftliche Zentren wie [Zürich](\u002Fsearch) und [Wallisellen](\u002Fsearch). In [Zürich](\u002Fsearch), dem Herzstück des schweizerischen Finanzsektors, suchen Unternehmen nach **Python**-Experten für die Entwicklung datengesteuerter Lösungen. [Wallisellen](\u002Fsearch) als wichtiger Standort für Finanzdienstleister bietet ebenfalls zahlreiche Möglichkeiten für **Python**-Spezialisten, insbesondere in den Bereichen [Private Banking und Asset Management](\u002Fjobs-by-industry\u002Fprivate-banking-and-asset-management) und [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services).",{"title":148,"content":149},"Gefragte Skills & Arbeitgeber","Führende Unternehmen in der **Schweiz** wie [Bank Vontobel AG](\u002Fcompany\u002Fbank-vontobel-ag), [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) und [LGT Financial Services AG](\u002Fcompany\u002Flgt-financial-services-ag) setzen **Python** für [Portfolio-Management](\u002Fjobs-by-expertise\u002Fportfolio-management), [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und [Prozessoptimierung](\u002Fjobs-by-expertise\u002Fprocess-improvement) ein. Diese Arbeitgeber erwarten von Bewerbern Kenntnisse in [SQL](\u002Fjobs-by-skill\u002Fsql), [Java](\u002Fjobs-by-skill\u002Fjava) und [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai), um **Python**-basierten Lösungen zu entwickeln.\n\nGefragte Expertise umfasst [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) für die Bewertung finanzieller Risiken, [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) zur Extraktion wertvoller Insights und [Compliance-Management](\u002Fjobs-by-expertise\u002Fcompliance-management) zur Einhaltung regulatorischer Vorgaben. **Python** wird zudem für [Machine Learning-Anwendungen](\u002Fjobs-by-expertise\u002Fmachine-learning-applications) in der [Risikoanalyse](\u002Fjobs-by-expertise\u002Frisk-analysis) und für [KI-Implementierung](\u002Fjobs-by-expertise\u002Fai-implementation) in [Finanzmärkten](\u002Fjobs-by-expertise\u002Ffinancial-markets) genutzt. Unternehmen wie [Zürcher Kantonalbank](\u002Fcompany\u002Fzurcher-kantonalbank) integrieren **Python** in ihre [DevOps](\u002Fjobs-by-skill\u002Fdevops)-Prozesse, um agile und skalierbare Finanzlösungen zu schaffen.",{"title":151,"content":152},"Karriere & Entwicklung","Karrierewege mit **Python**-Kenntnissen in der **Schweiz** reichen vom **Data Engineer** über **Quantitative Analyst** bis hin zum **AI-Spezialisten** im Finanzsektor. Um **Python** zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen und praktische Projekte in [Datenvisualisierung](\u002Fjobs-by-expertise\u002Fdata-visualization) oder [Prozessautomatisierung](\u002Fjobs-by-expertise\u002Fprocess-automation).\n\nErgänzende IT-Skills wie [SQL](\u002Fjobs-by-skill\u002Fsql) für Datenbankabfragen, [Kubernetes](\u002Fjobs-by-skill\u002Fkubernetes) für Container-Orchestrierung und [Azure](\u002Fjobs-by-skill\u002Fazure) für Cloud-Lösungen sind entscheidend. Expertise in [Finanzmathematik](\u002Fjobs-by-expertise\u002Ffinancial-mathematics) und [Regulatorische Anforderungen](\u002Fjobs-by-expertise\u002Fregulatory-requirements) verbessert die Karrierechancen. Für Fortgeschrittene bietet sich die Spezialisierung auf [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) oder [Large Language Models (LLMs)](\u002Fjobs-by-skill\u002Flarge-language-models-llms) an, um innovative Lösungen in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Versicherung](\u002Fjobs-by-industry\u002Finsurance) zu entwickeln. Praktische Erfahrung mit [ETL-Prozessen](\u002Fjobs-by-skill\u002Fetl-processes) und [Microservices](\u002Fjobs-by-skill\u002Fmicroservices) rundet das Profil ab und öffnet Türen zu Top-Positionen bei führenden schweizerischen Finanzinstituten.",{"tab1":154,"tab2":157,"tab3":160,"tab4":163},{"title":155,"content":156},"Strategic Importance","Python has emerged as a cornerstone programming language in Switzerland's financial sector, driving innovation and efficiency across banking, insurance, and asset management. Its versatility enables professionals to tackle complex challenges in data analysis, automation, and financial modeling, making it indispensable for institutions navigating Switzerland's highly regulated and competitive landscape. The language's extensive libraries and frameworks support everything from risk assessment and portfolio management to regulatory compliance and machine learning applications, aligning perfectly with the Swiss emphasis on precision and reliability. As financial firms increasingly adopt AI and data-driven strategies, Python proficiency has become a key differentiator for job seekers, offering a pathway to roles in quantitative analysis, software engineering, and strategic consulting. In a market where agility and technological advancement are paramount, mastering Python not only enhances individual career prospects but also contributes to the broader digital transformation of Switzerland's financial services industry, ensuring sustained growth and global competitiveness.",{"title":158,"content":159},"Top Industries & Locations","In Switzerland, Python is in high demand across key financial hubs and industries, with Zürich and Wallisellen standing out as prime locations for opportunities. These cities host a concentration of leading firms in banking and financial services, financial services, banking and finance, private banking and asset management, insurance and asset management, insurance, and banking and investment, where Python skills are leveraged for data-driven decision-making and process automation. The strategic importance of these industries in the Swiss economy drives the need for professionals who can utilize Python for tasks such as financial analysis, risk management, and regulatory reporting. In Zürich, global banking institutions and fintech startups alike seek Python expertise to enhance their operations, while Wallisellen's growing financial sector offers roles in asset management and insurance. This geographic and industrial focus underscores Python's role in supporting Switzerland's reputation as a global financial center, with opportunities spanning traditional finance to innovative tech-driven services.",{"title":161,"content":162},"In-Demand Skills & Employers","Top companies in Switzerland, including Bank Vontobel AG, Allianz Insurance, Vontobel Swiss Financial Advisers AG, LGT Financial Services AG, Vaduz, Zweigniederlassung Zürich\u002FSchweiz, Zürcher Kantonalbank und ihre Tochtergesellschaften, and LGT Financial Services AG, actively seek professionals with Python skills to support expertise in risk management, financial products, regulatory compliance, project management, process improvement, data analysis, asset management, portfolio management, financial mathematics, and machine learning applications. These employers value Python for its ability to streamline operations in areas like regulatory reporting, incident management, and agile methodology, ensuring compliance with standards such as Solvency II and IFRS17. Additionally, expertise in troubleshooting, governance, and audit preparation is enhanced through Python's capabilities in automation and data visualization. The integration of Python with skills like SQL, Java, and R further amplifies its utility in roles focused on financial modeling, risk assessment, and economic balance sheet calculations, making it a critical tool for driving innovation and efficiency in Switzerland's competitive financial landscape.",{"title":164,"content":165},"Career & Development","Career paths for Python professionals in Switzerland often begin in roles such as data analyst, software engineer, or financial modeler, with advancement opportunities into senior positions like quantitative analyst, AI specialist, or project manager. To build expertise, aspiring professionals should focus on mastering Python alongside top related IT skills like SQL, Java, R, Azure, and automation tools, as well as expertise in risk management, financial analysis, and process improvement. Learning resources include online courses from platforms like Coursera or edX, hands-on projects in data visualization or machine learning, and certifications in areas like DevOps or cloud architecture. In Switzerland's financial sector, combining Python with knowledge of regulatory requirements, portfolio analysis, and agile methodology can lead to roles in firms emphasizing innovation and compliance. Networking through industry events in hubs like Zürich and continuous skill development in emerging areas like generative AI and data engineering are key to staying competitive. This approach not only fosters career growth but also aligns with the Swiss focus on precision and technological advancement in finance.","skill:python:ch","2026-08-17T09:01:40.712879+02:00",{"industry":169,"employment_type":191,"expertise_skills":204,"it_skills":270,"salary_currency":334,"processed_working_hours":338},[170,174,178,182,185,188],{"key":171,"label":172,"count":173},"wealth management","Wealth Management",8,{"key":175,"label":176,"count":177},"banking","Banking",6,{"key":179,"label":180,"count":181},"financial services","Financial Services",5,{"key":183,"label":184,"count":29},"insurance","Insurance",{"key":186,"label":187,"count":28},"financial technology","Financial Technology",{"key":189,"label":190,"count":45},"asset management","Asset Management",[192,195,198,201],{"key":26,"label":193,"count":194},"PERMANENT",19,{"key":196,"label":197,"count":62},"contract","CONTRACT",{"key":199,"label":200,"count":62},"temporary","TEMPORARY",{"key":202,"label":203,"count":45},"student","STUDENT",[205,208,210,212,215,218,221,223,226,229,232,234,237,240,243,245,247,250,253,256,258,261,264,267],{"key":206,"label":134,"slug":206,"count":207},"risk-management",7,{"key":209,"label":71,"slug":209,"count":177},"data-analysis",{"key":211,"label":44,"slug":211,"count":181},"automation",{"key":213,"label":214,"slug":213,"count":181},"project-management","Project management",{"key":216,"label":217,"slug":216,"count":29},"regulatory-compliance","Regulatory Compliance",{"key":219,"label":220,"slug":219,"count":28},"change-management","Change Management",{"key":222,"label":70,"slug":222,"count":28},"process-automation",{"key":224,"label":225,"slug":224,"count":28},"portfolio-management","Portfolio Management",{"key":227,"label":228,"slug":227,"count":28},"it-security","It Security",{"key":230,"label":231,"slug":230,"count":28},"incident-management","Incident Management",{"key":233,"label":42,"slug":233,"count":28},"model-validation",{"key":235,"label":236,"slug":235,"count":62},"application-support","Application Support",{"key":238,"label":239,"slug":238,"count":62},"identity-management","Identity Management",{"key":241,"label":242,"slug":241,"count":62},"business-intelligence","Business Intelligence",{"key":244,"label":136,"slug":244,"count":62},"root-cause-analysis",{"key":246,"label":67,"slug":246,"count":62},"data-migration",{"key":248,"label":249,"slug":248,"count":62},"authentication-technologies","Authentication Technologies",{"key":251,"label":252,"slug":251,"count":62},"on-call-duty","On-Call Duty",{"key":254,"label":255,"slug":254,"count":62},"secure-remote-access","Secure Remote Access",{"key":257,"label":106,"slug":257,"count":62},"technical-project-management",{"key":259,"label":260,"slug":259,"count":62},"financial-reporting","Financial Reporting",{"key":262,"label":263,"slug":262,"count":62},"endpoint-security","Endpoint Security",{"key":265,"label":266,"slug":265,"count":62},"devops","Devops",{"key":268,"label":269,"slug":268,"count":62},"finance","Finance",[271,273,276,278,280,283,285,288,291,294,297,299,302,304,307,310,311,314,317,320,322,325,328,331],{"key":272,"label":31,"slug":272,"count":4},"python",{"key":274,"label":33,"slug":274,"count":275},"sql",13,{"key":277,"label":85,"slug":277,"count":181},"kubernetes",{"key":279,"label":97,"slug":279,"count":29},"active-directory",{"key":281,"label":282,"slug":281,"count":29},"java","Java",{"key":284,"label":96,"slug":284,"count":29},"linux",{"key":286,"label":287,"slug":286,"count":29},"powershell","Powershell",{"key":289,"label":290,"slug":289,"count":28},"ms-excel","MS Excel",{"key":292,"label":293,"slug":292,"count":28},"databricks","Databricks",{"key":295,"label":296,"slug":295,"count":28},"cicd","Ci\u002FCd",{"key":298,"label":34,"slug":298,"count":28},"tableau",{"key":300,"label":301,"slug":300,"count":28},"ms-powerbi","MS PowerBI",{"key":303,"label":90,"slug":303,"count":28},"git",{"key":305,"label":306,"slug":305,"count":28},"rest-apis","Rest Apis",{"key":308,"label":309,"slug":308,"count":62},"ai-tools","Ai Tools",{"key":211,"label":44,"slug":211,"count":62},{"key":312,"label":313,"slug":312,"count":62},"citrix-nitro-api","Citrix Nitro Api",{"key":315,"label":316,"slug":315,"count":62},"mongodb","Mongodb",{"key":318,"label":319,"slug":318,"count":62},"citrix-netscaler-gateway","Citrix Netscaler Gateway",{"key":321,"label":32,"slug":321,"count":62},"dataiku",{"key":323,"label":324,"slug":323,"count":62},"scala","Scala",{"key":326,"label":327,"slug":326,"count":62},"scripting","Scripting",{"key":329,"label":330,"slug":329,"count":62},"bash","Bash",{"key":332,"label":333,"slug":332,"count":62},"openshift","Openshift",[335,337],{"key":22,"label":22,"count":336},23,{"key":122,"label":122,"count":45},[339,340],{"key":25,"label":25,"count":4},{"key":60,"label":60,"count":181},{"total":342,"jobs":343},0,[]]