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Standards","Guardrails","Playbooks","Documentation","Agile",{"id":568,"slug":569,"title":570,"raw_title":10,"is_featured":11,"company":571,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":572,"processed_country_iso_code_gmaps":573,"processed_home_office":80,"processed_salary_min":334,"processed_salary_max":215,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":574,"processed_employment_types":26,"processed_it_skills":575,"processed_it_skills_labels":576,"processed_job_expertise_skills":578,"processed_job_expertise_skills_labels":579,"max_cpc":68,"actual_cpc":69},83679,"staff-engineer-government-employees-insurance-company","Staff Engineer",{"name":13,"slug":14,"logo_url":10},[391],[18],[25],{"c#":28,"go":28,"aws":28,"sql":28,"apis":28,"java":28,"azure":28,"ci\u002Fcd":28,"nosql":28,"spark":29,"trino":29,"cursor":29,"python":28,"splunk":28,"datadog":28,"grafana":28,"knative":29,"power 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effectiveness":28,"corrective action planning":28,"site reliability engineering":28},[195,194,196,411,48,197,412,413,238,64,193,426,580,422,581,424,425,420,582,583,584,417,419,199,505,585,586,587,205,588,589],"Post-incident Reviews","Operational Runbooks","COE Quality Improvement","Cloud-native Services","Data Analytics","Safe Deployment","Rollback Patterns","Operational Controls","Visibility","Engineering Effectiveness",{"id":591,"slug":592,"title":593,"raw_title":10,"is_featured":11,"company":594,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":597,"processed_country_iso_code_gmaps":599,"processed_home_office":19,"processed_salary_min":600,"processed_salary_max":601,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":602,"processed_employment_types":26,"processed_it_skills":603,"processed_it_skills_labels":604,"processed_job_expertise_skills":615,"processed_job_expertise_skills_labels":616,"max_cpc":68,"actual_cpc":69},88467,"senior-director-data-analysis-bi-shared-analyst-team-travelers-indemnity-co","Senior Director, Data Analysis (BI Shared Analyst Team)",{"name":595,"slug":596,"logo_url":10},"Travelers Indemnity Co","travelers-indemnity-co",[598],"Hartford",[18],132800,219100,[25],{"etl":28,"sql":28,"hive":29,"nosql":29,"python":29,"teradata":29,"ab initio":29,"data catalog":28,"data lineage":28,"microstrategy":29,"cloud computing":28,"data integration":28,"metadata management":28},[177,605,31,606,607,608,276,609,610,611,612,613,614],"Teradata","Hive","MicroStrategy","Ab Initio","ETL","Data Integration","Cloud Computing","Metadata Management","Data Catalog","Data Lineage",{"data lineage":28,"data quality":28,"data analysis":28,"data profiling":28,"data cataloging":28,"data governance":28,"data management":28,"agile methodology":29,"metadata management":28,"resource management":28,"root cause analysis":28,"taxonomy management":28,"portfolio management":28,"strategic frameworks":28},[617,373,618,612,619,614,620,382,621,196,622,623,624,625],"Data Governance","Data Quality","Data Cataloging","Data Profiling","Agile Methodology","Taxonomy Management","Portfolio Management","Resource Management","Strategic Frameworks",{"id":627,"slug":628,"title":629,"raw_title":10,"is_featured":11,"company":630,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":631,"processed_country_iso_code_gmaps":632,"processed_home_office":19,"processed_salary_min":334,"processed_salary_max":215,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":633,"processed_employment_types":26,"processed_it_skills":634,"processed_it_skills_labels":635,"processed_job_expertise_skills":647,"processed_job_expertise_skills_labels":648,"max_cpc":68,"actual_cpc":69},83798,"staff-software-engineer-government-employees-insurance-company-2","Staff Software Engineer",{"name":13,"slug":14,"logo_url":10},[212],[18],[25],{"go":28,"aws":28,"cdn":29,"dns":29,"gcp":28,"sql":28,"azure":28,"nosql":28,"react":28,"caches":29,"python":28,"queues":29,"ansible":28,"graphql":28,"rest api":28,"terraform":28,"kubernetes":28,"typescript":28,"load balancing":29,"graph databases":28,"key\u002Fvalue stores":29},[220,31,636,292,177,276,637,638,639,221,535,533,231,640,179,641,642,643,644,645,646],"TypeScript","Graph Databases","REST API","GraphQL","GCP","DNS","CDN","Load Balancing","Queues","Caches","Key\u002FValue Stores",{"iaas":28,"paas":28,"data modeling":28,"observability":28,"data governance":28,"service mapping":28,"resource planning":28,"service cataloging":28,"automated discovery":28,"software engineering":28,"master data management":28,"architecture and design":28,"container orchestration":28,"configuration management":28,"taxonomy\u002Fontology design":28,"hybrid cloud architecture":28,"infrastructure automation":28,"cost analysis and forecasting":28},[52,649,237,650,651,617,652,653,654,655,656,657,658,659,197,660,661,662],"Architecture and Design","Taxonomy\u002FOntology Design","Master Data Management","Configuration Management","Service Cataloging","Automated Discovery","Service Mapping","Hybrid Cloud Architecture","IaaS","PaaS","Container Orchestration","Infrastructure Automation","Cost Analysis and Forecasting","Resource Planning",{"id":664,"slug":665,"title":666,"raw_title":10,"is_featured":11,"company":667,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":668,"processed_country_iso_code_gmaps":669,"processed_home_office":19,"processed_salary_min":670,"processed_salary_max":671,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":672,"processed_employment_types":442,"processed_it_skills":674,"processed_it_skills_labels":675,"processed_job_expertise_skills":677,"processed_job_expertise_skills_labels":678,"max_cpc":68,"actual_cpc":69},83600,"analyst-internship-actuarial-cfo-org-government-employees-insurance-company","Analyst Internship- Actuarial (CFO Org)",{"name":13,"slug":14,"logo_url":10},[391],[18],24930,41210,[673],"PART_TIME",{"r":145,"sas":145,"sql":145,"resq":145,"excel":29,"python":145,"power bi":145,"snowflake":145},[338,177,372,471,31,403,446,676],"ResQ",{"data analysis":29,"actuarial science":29,"reserving analysis":29,"claim trend analysis":29,"stakeholder communication":29,"frequency\u002Fseverity projections":29},[679,680,681,682,382,683],"Actuarial Science","Reserving Analysis","Claim Trend Analysis","Frequency\u002FSeverity Projections","Stakeholder Communication",{"id":685,"slug":686,"title":687,"raw_title":10,"is_featured":11,"company":688,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":689,"processed_country_iso_code_gmaps":690,"processed_home_office":19,"processed_salary_min":691,"processed_salary_max":692,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":693,"processed_employment_types":26,"processed_it_skills":694,"processed_it_skills_labels":695,"processed_job_expertise_skills":704,"processed_job_expertise_skills_labels":705,"max_cpc":68,"actual_cpc":69},83782,"senior-manager-staff-software-engineering-applied-ai-government-employees-insurance-company","Senior Manager, Staff Software Engineering - Applied AI",{"name":13,"slug":14,"logo_url":10},[212],[18],150000,300000,[25],{"sql":29,"python":29,"ai evaluation":29,"ai governance":29,"api development":28,"cloud computing":29,"agent frameworks":29,"ai orchestration":29,"distributed systems":28,"large language models":29,"orchestration systems":28,"service-oriented architecture":28},[31,177,611,696,48,697,698,699,700,701,702,703],"API Development","Orchestration Systems","Service-Oriented Architecture","Large Language Models","Agent Frameworks","AI Orchestration","AI Evaluation","AI Governance",{"applied ai":28,"architecture":28,"scalable systems":28,"conversational ai":28,"technical strategy":28,"intelligent systems":28,"workflow automation":28,"platform engineering":28,"software engineering":28,"engineering management":28,"production environments":28,"organizational leadership":28},[52,706,428,707,708,709,710,711,413,712,713,714],"Engineering Management","Applied AI","Intelligent Systems","Conversational AI","Workflow Automation","Technical Strategy","Scalable Systems","Production Environments","Organizational Leadership",{"id":716,"slug":717,"title":718,"raw_title":10,"is_featured":11,"company":719,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":720,"processed_country_iso_code_gmaps":721,"processed_home_office":19,"processed_salary_min":722,"processed_salary_max":723,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":724,"processed_employment_types":26,"processed_it_skills":725,"processed_it_skills_labels":726,"processed_job_expertise_skills":730,"processed_job_expertise_skills_labels":731,"max_cpc":68,"actual_cpc":69},85837,"site-reliability-engineering-sre-manager-manufacturers-and-traders-trust-co","Site Reliability Engineering (SRE) Manager",{"name":165,"slug":166,"logo_url":10},[168],[18],139700,232900,[25],{"ai":29,"apis":29,"bash":29,"azure":28,"ci\u002Fcd":29,"devops":29,"python":29,"splunk":29,"datadog":29,"grafana":29,"dynatrace":29,"containers":29,"powershell":29,"azure monitor":29,"generative ai":29,"microservices":29,"opentelemetry":29,"infrastructure as code":29},[179,180,86,181,183,182,185,175,31,727,499,98,187,153,728,302,729,545],"Bash","Containers","AI",{"automation":28,"cybersecurity":29,"observability":28,"disaster recovery":28,"vendor management":29,"cloud technologies":28,"production support":28,"incident management":28,"root cause analysis":28,"platform engineering":28,"regulatory compliance":29,"operational risk management":28,"site reliability engineering":28,"service level indicators (slis)":28,"service level objectives (slos)":28},[195,193,197,194,199,732,733,734,201,196,735,428,736,737,738],"Cloud Technologies","Service Level Objectives (SLOs)","Service Level Indicators (SLIs)","Operational Risk Management","Vendor Management","Regulatory Compliance","Cybersecurity",{"id":740,"slug":741,"title":742,"raw_title":10,"is_featured":11,"company":743,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":744,"processed_country_iso_code_gmaps":745,"processed_home_office":19,"processed_salary_min":746,"processed_salary_max":747,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":748,"processed_employment_types":26,"processed_it_skills":749,"processed_it_skills_labels":750,"processed_job_expertise_skills":759,"processed_job_expertise_skills_labels":760,"max_cpc":68,"actual_cpc":69},85812,"lead-software-engineer-ai-driven-development-manufacturers-and-traders-trust-co","Lead Software Engineer (AI-Driven Development)",{"name":165,"slug":166,"logo_url":10},[168],[18],116400,194000,[25],{"c#":28,"git":29,"java":28,"sdlc":28,"python":28,"javascript":28,"claude code":28,"github copilot":28,"agentic tooling":29,"test automation":29,"prompt 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management",{"image_path":772,"content_de":773,"content_en":786,"composite_key":799,"last_updated":800},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":774,"tab2":777,"tab3":780,"tab4":783},{"title":775,"content":776},"Bedeutung & Relevanz","Die Bedeutung von [Python](\u002Fjobs-by-skill\u002Fpython) in den [Vereinigten Staaten](\u002Fsearch) ist enorm, insbesondere in der Finanzbranche. Als vielseitige Programmiersprache wird Python für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis), [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und die Entwicklung von [KI-Tools](\u002Fjobs-by-skill\u002Fai-tools) eingesetzt. In [Newport Beach](\u002Fjobs-in-newport-beach) und [New York](\u002Fjobs-in-new-york) ist Python aufgrund seiner Effizienz bei der Automatisierung von Prozessen und der Handhabung großer Datenmengen unverzichtbar. Unternehmen wie [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) nutzen Python für [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und [Portfoliokonstruktion](\u002Fjobs-by-expertise\u002Fportfolio-construction), was die strategische Relevanz in der [Finanzbranche](\u002Fjobs-by-industry\u002Ffinance) unterstreicht. Die Nachfrage nach Python-Kenntnissen wächst stetig, da sie die Grundlage für Innovationen in [globalem Asset-Management](\u002Fjobs-by-industry\u002Fglobal-asset-management) und [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) bildet.",{"title":778,"content":779},"Top-Branchen & Standorte","In den [Vereinigten Staaten](\u002Fsearch) ist [Python](\u002Fjobs-by-skill\u002Fpython) besonders in [Finanzbranchen](\u002Fjobs-by-industry\u002Ffinance) wie [globalem Asset-Management](\u002Fjobs-by-industry\u002Fglobal-asset-management), [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) und [Finance and Investment](\u002Fjobs-by-industry\u002Ffinance-and-investment) gefragt. Top-Standorte mit hohem Bedarf sind [Newport Beach](\u002Fjobs-in-newport-beach) und [New York](\u002Fjobs-in-new-york), wo Unternehmen auf Python für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) und [automatisierte Handelssysteme](\u002Fjobs-by-expertise\u002Fautomation-process-enhancement) setzen. Diese Orte sind Zentren für [Asset-Management](\u002Fjobs-by-industry\u002Fasset-management), was Python zu einer Schlüsselkompetenz für Jobs in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Fintech](\u002Fjobs-by-industry\u002Ffintech) macht. Die Kombination aus diesen Branchen und Standorten treibt die Nachfrage nach Python-Experten voran, die komplexe [Finanzmodelle](\u002Fjobs-by-expertise\u002Ffinancial-modeling) entwickeln und optimieren.",{"title":781,"content":782},"Gefragte Skills & Arbeitgeber","Führende Arbeitgeber in den [Vereinigten Staaten](\u002Fsearch) wie [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) und [PGA Global Services LLC, UK Branch](\u002Fcompany\u002Fpga-global-services-llc-uk-branch) suchen nach [Python](\u002Fjobs-by-skill\u002Fpython)-Experten mit Kenntnissen in [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management), [Fixed Income](\u002Fjobs-by-expertise\u002Ffixed-income-products) und [Portfoliokonstruktion](\u002Fjobs-by-expertise\u002Fportfolio-construction). Gefragte verwandte Expertisen umfassen [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis), [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement). Diese Unternehmen setzen Python für [Optimierungstechniken](\u002Fjobs-by-expertise\u002Foptimization-techniques) und [quantitative Forschung](\u002Fjobs-by-expertise\u002Fquantitative-research) ein, um [Risikokontrolle](\u002Fjobs-by-expertise\u002Frisk-control) und [Performance-Management](\u002Fjobs-by-expertise\u002Fperformance-management) zu verbessern. In [New York](\u002Fjobs-in-new-york) und [Newport Beach](\u002Fjobs-in-newport-beach) ist Python essenziell für die Entwicklung von [Handelssystemen](\u002Fjobs-by-expertise\u002Ffixed-income-trading-systems) und [Datenpipelines](\u002Fjobs-by-expertise\u002Fdata-integration).",{"title":784,"content":785},"Karriere & Entwicklung","Karrierewege mit [Python](\u002Fjobs-by-skill\u002Fpython) in den [Vereinigten Staaten](\u002Fsearch) reichen von [Datenanalysten](\u002Fjobs-by-expertise\u002Fdata-analysis) bis zu [Softwareentwicklern](\u002Fjobs-by-expertise\u002Fapplication-development) in [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services). Um Python zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen und praktische Projekte in verwandten Bereichen wie [SQL](\u002Fjobs-by-skill\u002Fsql), [AWS](\u002Fjobs-by-skill\u002Faws) und [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing). Top-verwandte IT-Skills include [Excel](\u002Fjobs-by-skill\u002Fms-excel) für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und [Java](\u002Fjobs-by-skill\u002Fjava) für Systemintegration. Entwicklungsmöglichkeiten bestehen in [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) durch den Erwerb von Kenntnissen in [statistischen Techniken](\u002Fjobs-by-expertise\u002Fstatistical-techniques) und [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning). In Städten wie [New York](\u002Fjobs-in-new-york) bieten Arbeitgeber Trainings für [automatisierte Testing](\u002Fjobs-by-skill\u002Fautomated-testing-frameworks) und [CI\u002FCD-Pipelines](\u002Fjobs-by-skill\u002Fcicd), um Karrieren in [Fintech](\u002Fjobs-by-industry\u002Ffintech) voranzutreiben.",{"tab1":787,"tab2":790,"tab3":793,"tab4":796},{"title":788,"content":789},"Strategic Importance","Python is a critical programming skill in the [Vereinigte Staaten](\u002Fsearch) financial sector, driving innovation and efficiency across various domains. Its versatility in data analysis, automation, and quantitative modeling makes it indispensable for roles in [Asset Management](\u002Fjobs-by-industry\u002Fasset-management), [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management), and [Finance](\u002Fjobs-by-industry\u002Ffinance). In the U.S., Python is widely used for developing algorithmic trading systems, risk management tools, and financial models, enabling professionals to handle large datasets and complex calculations with ease. The language's extensive libraries, such as Pandas and NumPy, support advanced analytics and machine learning applications, which are essential for optimizing investment strategies and enhancing decision-making processes. As the demand for data-driven insights grows, Python's role in the financial industry continues to expand, making it a key skill for career advancement and organizational success.",{"title":791,"content":792},"Top Industries & Locations","In the [Vereinigte Staaten](\u002Fsearch), Python is highly sought after in top industries like [Finance](\u002Fjobs-by-industry\u002Ffinance), [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management), and [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management). Key locations with high demand include [Newport Beach](\u002Fjobs-in-newport-beach) and [New York](\u002Fjobs-in-new-york), where financial hubs thrive. These areas host numerous firms leveraging Python for quantitative analysis, portfolio optimization, and fintech innovations. The skill is also prevalent in [Banking](\u002Fjobs-by-industry\u002Fbanking) and [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) sectors, supporting everything from risk assessment to automated trading systems. With the rise of digital transformation, Python's application extends to [Fintech](\u002Fjobs-by-industry\u002Ffintech) startups and established institutions, making it a cornerstone of modern financial operations in urban centers across the country.",{"title":794,"content":795},"In-Demand Skills & Employers","Top companies like Pacific Investment Mgt Co. LLC and PGA Global Services LLC, UK Branch in the [Vereinigte Staaten](\u002Fsearch) seek professionals with Python expertise for roles involving [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling), and [Data Analysis](\u002Fjobs-by-expertise\u002Fdata-analysis). Related expertises in demand include [Portfolio Construction](\u002Fjobs-by-expertise\u002Fportfolio-construction), [Fixed Income](\u002Fjobs-by-expertise\u002Ffixed-income), and [Quantitative Research](\u002Fjobs-by-expertise\u002Fquantitative-research), where Python is used for developing trading systems and analytics platforms. Employers value Python for its ability to handle [Optimization Techniques](\u002Fjobs-by-expertise\u002Foptimization-techniques) and support [Automation](\u002Fjobs-by-expertise\u002Fautomation) in financial processes. This skill is crucial for enhancing [Performance Measurement Methodologies](\u002Fjobs-by-expertise\u002Fperformance-measurement-methodologies) and driving innovation in [Investment Management](\u002Fjobs-by-expertise\u002Finvestment-management), making it a key requirement for competitive roles in the U.S. financial sector.",{"title":797,"content":798},"Career & Development","A career with Python in the [Vereinigte Staaten](\u002Fsearch) financial industry often starts with roles in data analysis, quantitative research, or software development, leading to positions like financial analyst, data scientist, or portfolio manager. To learn Python, pursue online courses, certifications, or degrees in computer science or finance, and practice with real-world projects involving [SQL](\u002Fjobs-by-skill\u002Fsql), [AWS](\u002Fjobs-by-skill\u002Faws), and [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning). Complement Python with skills in [Excel](\u002Fjobs-by-skill\u002Fexcel), [Java](\u002Fjobs-by-skill\u002Fjava), and [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing) to enhance employability. Focus on developing expertise in [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) and [Process Improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) to advance in fields like [Asset Management](\u002Fjobs-by-expertise\u002Fasset-management) and [Investment Banking](\u002Fjobs-by-expertise\u002Finvestment-banking). Continuous learning and staying updated with industry trends are key to long-term success and growth in this dynamic field.","skill:python:us","2026-08-17T09:01:42.481430+02:00",{"total":802,"jobs":803},0,[],{"industry":805,"employment_type":886,"expertise_skills":900,"it_skills":968,"salary_currency":1044,"processed_working_hours":1052},[806,810,814,818,822,825,829,833,837,840,844,847,850,853,856,859,862,865,868,871,874,877,880,883],{"key":807,"label":808,"count":809},"financial services","Financial Services",253,{"key":811,"label":812,"count":813},"insurance","Insurance",209,{"key":815,"label":816,"count":817},"banking","Banking",102,{"key":819,"label":820,"count":821},"financial markets infrastructure","Financial Markets Infrastructure",43,{"key":823,"label":824,"count":440},"asset management","Asset Management",{"key":826,"label":827,"count":828},"data","Data",28,{"key":830,"label":831,"count":832},"data provider","Data 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