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architecture",{"id":518,"slug":519,"title":520,"raw_title":10,"is_featured":11,"company":521,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":522,"processed_country_iso_code_gmaps":524,"processed_home_office":19,"processed_salary_min":525,"processed_salary_max":526,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":527,"processed_employment_types":26,"processed_it_skills":528,"processed_it_skills_labels":529,"processed_job_expertise_skills":532,"processed_job_expertise_skills_labels":533,"max_cpc":73,"actual_cpc":74},58099,"manager-data-stewardship-1110-invesco-group-services-inc","Manager, Data Stewardship",{"name":291,"slug":292,"logo_url":10},[523],"Atlanta",[18],120000,160000,[25],{"sql":28,"vba":86,"excel":28,"python":86,"alteryx":86,"power bi":86},[88,99,30,530,531,89],"Alteryx","VBA",{"data mapping":28,"data cleansing":28,"data profiling":28,"data governance":28,"data stewardship":28,"business analysis":28,"project management":86,"metadata management":28,"process improvement":28,"root cause analysis":28,"master data management":28,"data quality management":28,"data lifecycle management":28},[534,535,536,537,538,539,540,541,115,542,123,543,232],"Data Stewardship","Master Data Management","Data Governance","Data Quality Management","Metadata Management","Data Lifecycle Management","Data Profiling","Data Cleansing","Root Cause Analysis","Process 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and infrastructure analysis":86,"automated testing and code quality tools":86,"software development integration and build processing":86},[578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593],"IT Platform and Infrastructure Analysis","Software Development","Application Administration","Automated Scripting and Reporting","Macro-based Application Support","Software Development Integration and Build Processing","Application Regression Testing","Performance Benchmarking","Automated Testing and Code Quality Tools","Agile Methodologies","Build and Release Management","Risk Control and Management","Incident Management","Release Management","Capacity Management","Business Continuity Planning (BCP)",{"id":595,"slug":596,"title":597,"raw_title":10,"is_featured":11,"company":598,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":601,"processed_country_iso_code_gmaps":602,"processed_home_office":218,"processed_salary_min":323,"processed_salary_max":525,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":603,"processed_employment_types":26,"processed_it_skills":604,"processed_it_skills_labels":605,"processed_job_expertise_skills":609,"processed_job_expertise_skills_labels":610,"max_cpc":73,"actual_cpc":74},69513,"credit-risk-oversight-senior-associate-bbva-red-exterior-de-oficinas","Credit Risk Oversight Senior Associate",{"name":599,"slug":600,"logo_url":10},"BBVA RED EXTERIOR DE OFICINAS","bbva-red-exterior-de-oficinas",[268],[18],[25],{"sql":101,"apis":101,"python":101,"google workspace":28,"google apps script":28,"business intelligence tools":101},[606,607,88,30,180,608],"Google Workspace","Google Apps Script","Business Intelligence Tools",{"risk governance":86,"counterparty risk":28,"process automation":28,"credit underwriting":28,"credit risk analysis":28,"regulatory knowledge":86,"dashboard development":86,"risk appetite frameworks":86,"financial risk monitoring":28,"internal control principles":86,"management information reporting":86},[611,612,613,614,615,616,617,618,619,620,621],"Credit Risk Analysis","Financial Risk Monitoring","Credit Underwriting","Counterparty Risk","Regulatory Knowledge","Risk Governance","Internal Control Principles","Risk Appetite Frameworks","Process Automation","Dashboard Development","Management Information Reporting",{"id":623,"slug":624,"title":625,"raw_title":10,"is_featured":11,"company":626,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":627,"processed_country_iso_code_gmaps":628,"processed_home_office":19,"processed_salary_min":143,"processed_salary_max":629,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":630,"processed_employment_types":26,"processed_it_skills":631,"processed_it_skills_labels":632,"processed_job_expertise_skills":633,"processed_job_expertise_skills_labels":634,"max_cpc":73,"actual_cpc":74},58105,"senior-data-steward-investments-data-office-1110-invesco-group-services-inc","Senior Data Steward, Investments Data Office",{"name":291,"slug":292,"logo_url":10},[523],[18],130000,[25],{"sql":28,"vba":86,"excel":28,"python":86,"alteryx":86,"power bi":86},[88,99,30,530,531,89],{"markit edm":28,"data mapping":28,"data cleansing":28,"data profiling":28,"data governance":28,"data management":28,"informatica mdm":86,"data stewardship":28,"business analysis":86,"metadata management":86,"root cause analysis":28,"master data management":28,"stakeholder management":28,"data quality management":28},[635,534,535,536,537,538,540,541,115,542,636,123,637,638],"Data Management","Stakeholder Management","Markit EDM","Informatica MDM",{"id":640,"slug":641,"title":642,"raw_title":10,"is_featured":11,"company":643,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":644,"processed_country_iso_code_gmaps":645,"processed_home_office":19,"processed_salary_min":271,"processed_salary_max":646,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":647,"processed_employment_types":26,"processed_it_skills":648,"processed_it_skills_labels":649,"processed_job_expertise_skills":670,"processed_job_expertise_skills_labels":671,"max_cpc":73,"actual_cpc":74},61421,"director-distinguished-engineer-enterprise-ai-platforms-mufg-bank-ltd","Director, Distinguished Engineer, Enterprise AI Platforms",{"name":13,"slug":14,"logo_url":10},[16],[18],350000,[25],{"aws":28,"sql":28,"java":28,"ci\u002Fcd":28,"kafka":86,"ragas":86,"scala":86,"spark":86,"crewai":86,"docker":28,"github":86,"python":28,"spring":86,"airflow":86,"fastapi":86,"graphql":86,"litellm":86,"node.js":86,"pytorch":86,"langchain":28,"langgraph":28,"sagemaker":86,"snowflake":86,"terraform":86,"databricks":86,"kubernetes":28,"tensorflow":86,"hugging face":86,"rest\u002Fopenapi":28,"vector search":86,"knowledge graphs":86,"metadata platforms":86,"document intelligence":86,"javascript\u002Ftypescript":86,"opensearch\u002Felasticsearch":86},[30,176,650,651,88,652,653,654,655,656,38,37,301,369,657,40,34,658,659,660,661,33,31,32,662,94,95,663,96,664,665,666,667,668,669],"Scala","JavaScript\u002FTypeScript","Spring","FastAPI","Node.js","GraphQL","REST\u002FOpenAPI","GitHub","LangGraph","CrewAI","LiteLLM","Ragas","SageMaker","Spark","Airflow","OpenSearch\u002FElasticsearch","Vector search","Knowledge graphs","Metadata platforms","Document intelligence",{"finops":28,"privacy":28,"security":28,"compliance":28,"model risk":28,"monitoring":28,"resilience":28,"auditability":28,"data lineage":28,"data quality":28,"agent runtime":28,"ai governance":28,"cybersecurity":28,"microservices":28,"model routing":28,"orchestration":28,"policy-as-code":86,"data governance":28,"ai observability":28,"containerization":28,"cost optimization":28,"data architecture":28,"vendor evaluation":28,"llm gateway design":28,"metadata management":28,"security guardrails":28,"event-driven systems":28,"operational controls":28,"platform engineering":28,"provider abstraction":28,"evaluation frameworks":28,"production operations":28,"technical roadmapping":28,"regulated environments":28,"access control patterns":28,"enterprise architecture":28,"executive communication":28,"ai platform architecture":28,"cloud-native architecture":28,"infrastructure automation":28,"build-versus-buy decisions":28,"human-in-the-loop workflows":28,"rag and knowledge integration":28,"reusable engineering patterns":28,"structured\u002Funstructured data integration":28},[672,673,674,675,676,677,678,679,680,681,59,682,683,684,685,113,686,687,688,689,690,536,538,691,692,693,694,66,206,695,68,61,696,697,698,699,700,72,701,702,65,67,703,704,705],"Enterprise Architecture","Platform Engineering","AI Platform Architecture","LLM Gateway Design","Model Routing","Provider Abstraction","Agent Runtime","Orchestration","RAG and Knowledge Integration","AI Observability","Security Guardrails","FinOps","Reusable Engineering Patterns","Cloud-Native Architecture","Event-Driven Systems","Containerization","Infrastructure Automation","Production Operations","Data Architecture","Data Lineage","Structured\u002FUnstructured Data Integration","Data Quality","Access Control Patterns","Monitoring","Operational Controls","Regulated Environments","Build-versus-Buy Decisions","Vendor Evaluation","Technical Roadmapping","AI Governance","Model Risk","Cybersecurity","Human-in-the-Loop Workflows","Policy-as-Code",{"image_path":707,"content_de":708,"content_en":721,"composite_key":734,"last_updated":735},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":709,"tab2":712,"tab3":715,"tab4":718},{"title":710,"content":711},"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":713,"content":714},"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":716,"content":717},"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":719,"content":720},"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":722,"tab2":725,"tab3":728,"tab4":731},{"title":723,"content":724},"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":726,"content":727},"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":729,"content":730},"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":732,"content":733},"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",{"industry":737,"employment_type":818,"expertise_skills":832,"it_skills":901,"salary_currency":975,"processed_working_hours":983},[738,742,746,750,754,758,762,766,770,773,777,780,783,786,789,792,795,798,801,804,807,810,813,816],{"key":739,"label":740,"count":741},"financial services","Financial Services",253,{"key":743,"label":744,"count":745},"insurance","Insurance",209,{"key":747,"label":748,"count":749},"banking","Banking",102,{"key":751,"label":752,"count":753},"financial markets infrastructure","Financial Markets Infrastructure",43,{"key":755,"label":756,"count":757},"asset management","Asset Management",37,{"key":759,"label":760,"count":761},"data","Data",28,{"key":763,"label":764,"count":765},"data provider","Data 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