[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=20":3,"skill-page-filters-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=20":694,"featured-jobs-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=20":947,"seo-content-skill-python-us":949},{"total":4,"jobs":5},610,[6,56,93,135,160,189,214,239,304,324,372,410,434,468,491,513,556,582,618,674],{"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":38,"processed_job_expertise_skills_labels":39,"max_cpc":54,"actual_cpc":55},53062,"associate-investment-operations-0200-ares-operations-llc","Associate, Investment Operations",null,false,{"name":13,"slug":14,"logo_url":10},"Ares Operations LLC","ares-operations-llc",[16],"New York",[18],"US","onsite",100000,120000,"USD","estimated",[25],"FULL_TIME","permanent",{"sql":28,"geneva":28,"python":28,"power bi":29,"microsoft excel":29,"automation tools":28,"wall street office":28},3,4,[31,32,33,34,35,36,37],"Microsoft Excel","Power BI","Python","SQL","Wall Street Office","Geneva","Automation tools",{"fixed income":29,"data analytics":28,"private credit":29,"reconciliation":29,"change management":28,"project management":28,"fund administration":29,"process improvement":29,"bank loan operations":29,"accounting principles":28,"investment operations":29,"operational risk management":29,"cross-functional partnership":29,"alternative investment products":29},[40,41,42,43,44,45,46,47,48,49,50,51,52,53],"Investment Operations","Reconciliation","Operational Risk Management","Process Improvement","Cross-functional Partnership","Fund Administration","Bank Loan Operations","Private Credit","Fixed Income","Alternative Investment Products","Accounting Principles","Data Analytics","Project Management","Change Management",1,1.5,{"id":57,"slug":58,"title":59,"raw_title":10,"is_featured":11,"company":60,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":61,"processed_country_iso_code_gmaps":62,"processed_home_office":19,"processed_salary_min":63,"processed_salary_max":64,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":65,"processed_employment_types":26,"processed_it_skills":66,"processed_it_skills_labels":67,"processed_job_expertise_skills":76,"processed_job_expertise_skills_labels":77,"max_cpc":54,"actual_cpc":55},53084,"associate-vice-president-legal-engineering-lead-0200-ares-operations-llc","Associate Vice President, Legal Engineering Lead",{"name":13,"slug":14,"logo_url":10},[16],[18],180000,220000,[25],{"c#":28,"sql":29,"java":28,"sdlc":29,"python":28,"rest apis":29,"javascript":28,"middleware":28,"data analysis":29,"automated testing":28},[34,33,68,69,70,71,72,73,74,75],"Java","C#","JavaScript","REST APIs","SDLC","Automated Testing","Data Analysis","Middleware",{"e-billing":29,"audit readiness":29,"data governance":29,"legal technology":29,"matter management":29,"vendor management":28,"ai\u002Fml in legal ops":28,"production support":29,"project management":29,"release management":29,"architecture design":29,"integration patterns":29,"regulatory compliance":29,"legal entity management":28,"third-party risk management":29,"contract lifecycle management":29},[78,79,80,81,82,83,84,85,86,87,88,52,89,90,91,92],"Legal Technology","Matter Management","E-billing","Legal Entity Management","Contract Lifecycle Management","Third-Party Risk Management","Vendor Management","Integration Patterns","Data Governance","Regulatory Compliance","Audit Readiness","Architecture Design","Release Management","Production Support","AI\u002FML in Legal Ops",{"id":94,"slug":95,"title":96,"raw_title":10,"is_featured":11,"company":97,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":100,"processed_country_iso_code_gmaps":102,"processed_home_office":103,"processed_salary_min":104,"processed_salary_max":105,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":106,"processed_employment_types":26,"processed_it_skills":107,"processed_it_skills_labels":108,"processed_job_expertise_skills":124,"processed_job_expertise_skills_labels":125,"max_cpc":54,"actual_cpc":55},53867,"principal-data-architect-001-brown-amp-brown-inc","Principal Data Architect",{"name":98,"slug":99,"logo_url":10},"Brown & Brown, Inc","brown-brown-inc",[101],"Sandy Springs",[18],"hybrid",150000,200000,[25],{"api":29,"llm":29,"rag":29,"sql":29,"ci\u002Fcd":29,"mlops":29,"mlflow":29,"python":29,"etl\u002Felt":29,"databricks":29,"delta lake":29,"azure openai":29,"google cloud":28,"data modeling":29,"unity catalog":29,"data governance":29,"microsoft azure":29,"azure machine learning":29},[109,110,111,112,113,114,115,116,33,34,117,118,119,120,86,121,122,123],"Microsoft Azure","Databricks","Google Cloud","Delta Lake","Unity Catalog","MLflow","Azure Machine Learning","Azure OpenAI","CI\u002FCD","API","ETL\u002FELT","Data Modeling","MLOps","RAG","LLM",{"rfp":29,"broking":29,"insurance":29,"ai architecture":29,"data governance":29,"data architecture":29,"vendor management":29,"financial services":29,"model risk management":29,"regulatory compliance":29,"enterprise architecture":29,"total cost of ownership":29},[126,127,128,86,129,130,131,132,87,84,133,134],"Data Architecture","Enterprise Architecture","AI Architecture","Model Risk Management","Financial Services","Insurance","Broking","RFP","Total Cost of Ownership",{"id":136,"slug":137,"title":138,"raw_title":10,"is_featured":11,"company":139,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":142,"processed_country_iso_code_gmaps":143,"processed_home_office":19,"processed_salary_min":104,"processed_salary_max":105,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":144,"processed_employment_types":26,"processed_it_skills":145,"processed_it_skills_labels":147,"processed_job_expertise_skills":150,"processed_job_expertise_skills_labels":151,"max_cpc":54,"actual_cpc":55},60420,"institutional-equity-division-associate-quantitative-investment-strategiesstructured-sales-new-york-16-ms-amp-co-llc","Institutional Equity Division – Associate, Quantitative Investment Strategies\u002FStructured Sales (New York)",{"name":140,"slug":141,"logo_url":10},"MS & Co., LLC","ms-co-llc",[16],[18],[25],{"sql":146,"excel":28,"python":146,"powerpoint":28},2,[148,149,33,34],"Excel","PowerPoint",{"rfps":28,"marketing":28,"due diligence":28,"sales support":29,"client inquiries":28,"structured products":29,"portfolio management":146,"quantitative investment strategies":29},[152,153,154,155,156,157,158,159],"Quantitative Investment Strategies","Structured Products","Sales Support","Marketing","Client Inquiries","RFPs","Due Diligence","Portfolio Management",{"id":161,"slug":162,"title":163,"raw_title":10,"is_featured":11,"company":164,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":167,"processed_country_iso_code_gmaps":169,"processed_home_office":19,"processed_salary_min":170,"processed_salary_max":171,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":172,"processed_employment_types":26,"processed_it_skills":173,"processed_it_skills_labels":174,"processed_job_expertise_skills":179,"processed_job_expertise_skills_labels":180,"max_cpc":54,"actual_cpc":55},66348,"senior-manager-analytics-amp-insights-us-finance-decision-science-td-bank-na","Senior Manager, Analytics & Insights (US)- Finance-Decision Science",{"name":165,"slug":166,"logo_url":10},"TD Bank, N.A.","td-bank-na",[168],"Mount Laurel",[18],123050,184570,[25],{"vb":28,"sas":29,"sql":29,"excel":29,"python":29,"pyspark":28,"power bi":29,"microsoft copilot":28},[148,175,32,176,34,177,33,178],"VB","SAS","PySpark","Microsoft Copilot",{"data analytics":29,"risk management":28,"business strategy":29,"data visualization":29,"financial analysis":29,"project management":28,"portfolio management":29,"business intelligence":29,"regulatory compliance":28,"test and learn design":28,"profitability analysis":29,"financial model building":29},[181,182,183,184,185,52,186,87,187,51,188,159],"Profitability Analysis","Financial Analysis","Financial Model Building","Data Visualization","Business Intelligence","Risk Management","Business Strategy","Test and Learn Design",{"id":190,"slug":191,"title":192,"raw_title":10,"is_featured":11,"company":193,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":196,"processed_country_iso_code_gmaps":197,"processed_home_office":19,"processed_salary_min":198,"processed_salary_max":199,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":200,"processed_employment_types":26,"processed_it_skills":201,"processed_it_skills_labels":202,"processed_job_expertise_skills":203,"processed_job_expertise_skills_labels":204,"max_cpc":54,"actual_cpc":55},66376,"associate-market-risk-control-us-prime-services-td-securities-usa-llc","Associate, Market Risk Control - US Prime Services",{"name":194,"slug":195,"logo_url":10},"TD Securities (USA) LLC","td-securities-usa-llc",[16],[18],90000,125000,[25],{"sql":28,"excel":28,"python":28,"power bi":28},[33,34,32,148],{"automation":28,"data analytics":28,"risk reporting":29,"stress testing":28,"prime brokerage":28,"margin management":28,"collateral management":28,"regulatory compliance":28,"market risk management":29,"counterparty credit risk":29,"financial products knowledge":29},[205,206,207,208,209,210,211,51,212,213,87],"Market Risk Management","Counterparty Credit Risk","Margin Management","Collateral Management","Prime Brokerage","Stress Testing","Risk Reporting","Automation","Financial Products Knowledge",{"id":215,"slug":216,"title":217,"raw_title":10,"is_featured":11,"company":218,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":221,"processed_country_iso_code_gmaps":222,"processed_home_office":103,"processed_salary_min":223,"processed_salary_max":224,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":225,"processed_employment_types":26,"processed_it_skills":226,"processed_it_skills_labels":227,"processed_job_expertise_skills":230,"processed_job_expertise_skills_labels":231,"max_cpc":54,"actual_cpc":55},75556,"actuarial-analyst-mitsui-sumitomo-marine-management-usa-inc","Actuarial Analyst",{"name":219,"slug":220,"logo_url":10},"Mitsui Sumitomo Marine Management (USA), Inc.","mitsui-sumitomo-marine-management-usa-inc",[16],[18],70000,80000,[25],{"r":28,"sas":28,"sql":28,"excel":29,"python":28,"tableau":146,"power bi":146},[148,228,33,34,176,229,32],"R","Tableau",{"pricing":29,"reserving":29,"forecasting":29,"data analysis":29,"risk modeling":29,"actuarial science":29,"statistical modeling":29,"regulatory compliance":28,"insurance products knowledge":28},[232,74,233,234,235,236,237,238,87],"Actuarial Science","Statistical Modeling","Pricing","Reserving","Forecasting","Risk Modeling","Insurance Products Knowledge",{"id":240,"slug":241,"title":242,"raw_title":10,"is_featured":11,"company":243,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":246,"processed_country_iso_code_gmaps":248,"processed_home_office":103,"processed_salary_min":104,"processed_salary_max":249,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":250,"processed_employment_types":26,"processed_it_skills":251,"processed_it_skills_labels":252,"processed_job_expertise_skills":290,"processed_job_expertise_skills_labels":291,"max_cpc":54,"actual_cpc":55},55107,"lead-software-engineer-api-integrations-cibc-bank-usa","Lead Software Engineer, API Integrations",{"name":244,"slug":245,"logo_url":10},"CIBC Bank USA","cibc-bank-usa",[247],"Chicago",[18],170000,[25],{"c#":29,"css":28,"sql":29,"ajax":28,"java":28,"jira":28,"json":29,"linq":28,"ssis":28,"html5":28,"oauth":28,"react":29,"github":28,"jquery":28,"nodejs":28,"openid":28,"pl\u002Fsql":28,"python":28,"vb.net":28,"jenkins":28,"web api":29,"azure ad":28,"entra id":28,".net core":29,"databricks":28,"fen-x saas":28,"javascript":29,"sql server":29,"typescript":28,"fenergo clm":28,"asp.net core":29,"azure devops":28,"azure monitor":28,"azure storage":28,".net framework":29,"salesforce crm":28,"azure functions":28,"azure key vault":28,"entity framework":29,"azure app services":28,"azure data factory":28,"application insights":28,"asp.net core identity":28},[253,254,69,255,256,257,258,259,260,261,70,262,263,264,34,265,266,33,68,267,268,269,270,110,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289],".NET Framework",".NET Core","ASP.NET Core","Web API","JSON","Entity Framework","React","HTML5","CSS","jQuery","AJAX","VB.Net","PL\u002FSQL","TypeScript","NodeJS","LINQ","SQL Server","SSIS","Azure Data Factory","JIRA","GitHub","Jenkins","Azure DevOps","ASP.NET Core Identity","Entra ID","OAuth","OpenID","Azure App Services","Azure Functions","Azure Storage","Azure Key Vault","Azure Monitor","Application Insights","Azure AD","Salesforce CRM","Fenergo CLM","Fen-X SaaS",{"audit":28,"kyc\u002Faml":28,"compliance":28,"architecture":29,"solution design":29,"disaster recovery":28,"operational rigor":28,"technology roadmap":28,"master data management":28,"high availability design":28,"client lifecycle management":28,"multi-environment promotion":28},[292,293,294,295,296,297,298,299,300,301,302,303],"Solution Design","Architecture","Technology Roadmap","Compliance","Audit","Operational Rigor","Client Lifecycle Management","KYC\u002FAML","Master Data Management","High Availability Design","Disaster Recovery","Multi-Environment Promotion",{"id":305,"slug":306,"title":307,"raw_title":10,"is_featured":11,"company":308,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":311,"processed_country_iso_code_gmaps":313,"processed_home_office":19,"processed_salary_min":314,"processed_salary_max":314,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":315,"processed_employment_types":316,"processed_it_skills":317,"processed_it_skills_labels":318,"processed_job_expertise_skills":319,"processed_job_expertise_skills_labels":320,"max_cpc":54,"actual_cpc":55},52640,"predictive-modeler-intern-summer-2027-auto-owners-insurance-company","Predictive Modeler Intern - Summer 2027",{"name":309,"slug":310,"logo_url":10},"Auto-Owners Insurance Company","auto-owners-insurance-company",[312],"Lansing",[18],0,[25],"student",{"r":28,"sql":28,"python":28},[34,33,228],{"clustering":28,"data analysis":28,"classification":28,"predictive modeling":28,"statistical modeling":28},[233,321,74,322,323],"Predictive Modeling","Clustering","Classification",{"id":325,"slug":326,"title":327,"raw_title":10,"is_featured":11,"company":328,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":331,"processed_country_iso_code_gmaps":333,"processed_home_office":103,"processed_salary_min":104,"processed_salary_max":105,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":334,"processed_employment_types":26,"processed_it_skills":335,"processed_it_skills_labels":336,"processed_job_expertise_skills":355,"processed_job_expertise_skills_labels":356,"max_cpc":54,"actual_cpc":55},58134,"principal-automation-amp-ai-engineer-1110-invesco-group-services-inc","Principal Automation & AI Engineer",{"name":329,"slug":330,"logo_url":10},"Invesco Group Services, INC.","invesco-group-services-inc",[332],"Houston",[18],[25],{"c#":28,"aws":28,"git":28,".net":28,"itsm":28,"azure":28,"ci\u002Fcd":28,"ipaas":28,"python":29,"pytorch":28,"azure ai":28,"rest apis":28,"snowflake":28,"powershell":28,"serverless":28,"servicenow":28,"tensorflow":28,"scikit-learn":28,"microservices":28,"data pipelines":28,"containerization":28,"enterprise service bus":28},[33,337,338,339,340,69,341,342,71,343,344,117,345,346,347,348,349,350,351,352,353,354],"TensorFlow","PyTorch","scikit-learn","Azure AI",".NET","PowerShell","Microservices","Data Pipelines","Git","AWS","Azure","Snowflake","Containerization","Serverless","ServiceNow","ITSM","iPaaS","Enterprise Service Bus",{"rpa":29,"agile":28,"ai\u002Fml":29,"scrum":28,"runbooks":28,"code review":28,"generative ai":29,"asset management":28,"machine learning":29,"technical design":28,"service management":28,"predictive analytics":29,"architecture diagrams":28,"intelligent automation":29,"cloud financial operations":28},[357,358,359,360,361,362,363,364,365,366,367,368,369,370,371],"RPA","AI\u002FML","Machine Learning","Generative AI","Predictive Analytics","Intelligent Automation","Cloud Financial Operations","Service Management","Asset Management","Agile","Scrum","Code Review","Technical Design","Architecture Diagrams","Runbooks",{"id":373,"slug":374,"title":375,"raw_title":10,"is_featured":11,"company":376,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":379,"processed_country_iso_code_gmaps":380,"processed_home_office":103,"processed_salary_min":381,"processed_salary_max":382,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":383,"processed_employment_types":26,"processed_it_skills":384,"processed_it_skills_labels":385,"processed_job_expertise_skills":395,"processed_job_expertise_skills_labels":396,"max_cpc":54,"actual_cpc":55},67089,"senior-ai-machine-learning-engineer-hartford-fire-ins-co-2","Senior AI Machine Learning Engineer",{"name":377,"slug":378,"logo_url":10},"Hartford Fire Ins. Co","hartford-fire-ins-co",[247],[18],117200,175800,[25],{"aws":29,"gcp":29,"git":29,"sql":29,"apis":28,"ci\u002Fcd":28,"python":29,"airflow":28,"containers":28,"observability":28,"cloud composer":28,"step functions":28,"vertex ai pipelines":28,"infrastructure-as-code":28},[33,34,346,386,345,117,387,388,389,390,391,392,393,394],"GCP","Airflow","Cloud Composer","Step Functions","Vertex AI Pipelines","Containers","APIs","Infrastructure-as-code","Observability",{"pricing":28,"agentic ai":28,"underwriting":28,"generative ai":28,"risk selection":28,"data engineering":29,"model deployment":29,"model monitoring":29,"sales enablement":28,"employee benefits":28,"prompt engineering":28,"insurance domain knowledge":28,"policy lifecycle analytics":28,"machine learning engineering":29,"retrieval-augmented generation":28},[397,398,399,400,360,401,402,403,404,405,234,406,407,408,409],"Machine Learning Engineering","Data Engineering","Model Deployment","Model Monitoring","Agentic AI","Retrieval-Augmented Generation","Prompt Engineering","Insurance Domain Knowledge","Employee Benefits","Underwriting","Risk Selection","Sales Enablement","Policy Lifecycle Analytics",{"id":411,"slug":412,"title":413,"raw_title":10,"is_featured":11,"company":414,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":417,"processed_country_iso_code_gmaps":419,"processed_home_office":19,"processed_salary_min":420,"processed_salary_max":421,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":422,"processed_employment_types":26,"processed_it_skills":423,"processed_it_skills_labels":424,"processed_job_expertise_skills":428,"processed_job_expertise_skills_labels":429,"max_cpc":54,"actual_cpc":55},67540,"gen-ai-data-engineer-ii-020-travelers-indemnity-co","Gen AI - Data Engineer II",{"name":415,"slug":416,"logo_url":10},"Travelers Indemnity Co","travelers-indemnity-co",[418],"Atlanta",[18],126500,208700,[25],{"python":29,"cloud platforms":29,"data engineering":29,"full stack design\u002Farchitecture":29,"gen ai concepts (agentic frameworks, rag, llm, chunking, hyper-parameters)":29},[33,425,426,398,427],"Cloud Platforms","Gen AI concepts (Agentic Frameworks, RAG, LLM, Chunking, Hyper-parameters)","Full Stack Design\u002FArchitecture",{"data quality":28,"data analysis":29,"data security":28,"data governance":28,"system analysis":28,"data engineering":29,"software engineering practices":29},[398,86,430,431,74,432,433],"Data Security","Data Quality","System Analysis","Software Engineering Practices",{"id":435,"slug":436,"title":437,"raw_title":10,"is_featured":11,"company":438,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":441,"processed_country_iso_code_gmaps":442,"processed_home_office":19,"processed_salary_min":443,"processed_salary_max":444,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":445,"processed_employment_types":26,"processed_it_skills":446,"processed_it_skills_labels":447,"processed_job_expertise_skills":449,"processed_job_expertise_skills_labels":450,"max_cpc":54,"actual_cpc":55},69843,"structured-trade-portfolio-monitoring-associate-bbva-red-exterior-de-oficinas","Structured Trade Portfolio Monitoring Associate",{"name":439,"slug":440,"logo_url":10},"BBVA RED EXTERIOR DE OFICINAS","bbva-red-exterior-de-oficinas",[16],[18],110000,130000,[25],{"sql":28,"python":28,"power bi":28,"microsoft excel":29,"google apps script":146},[31,32,34,33,448],"Google Apps Script",{"commodity finance":29,"inventory finance":29,"warehouse finance":29,"asset-based lending":29,"covenant monitoring":29,"receivables finance":29,"risk identification":29,"portfolio monitoring":29,"collateral monitoring":29,"automation initiatives":28,"security documentation":29,"process standardization":28,"structured trade finance":29,"borrowing base methodologies":29,"financial statement analysis":29,"credit agreement interpretation":29,"structured working capital solutions":29},[451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467],"Structured Trade Finance","Commodity Finance","Asset-Based Lending","Borrowing Base Methodologies","Collateral Monitoring","Credit Agreement Interpretation","Security Documentation","Inventory Finance","Warehouse Finance","Receivables Finance","Structured Working Capital Solutions","Financial Statement Analysis","Covenant Monitoring","Portfolio Monitoring","Risk Identification","Process Standardization","Automation Initiatives",{"id":469,"slug":470,"title":471,"raw_title":10,"is_featured":11,"company":472,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":473,"processed_country_iso_code_gmaps":475,"processed_home_office":103,"processed_salary_min":476,"processed_salary_max":477,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":478,"processed_employment_types":26,"processed_it_skills":479,"processed_it_skills_labels":480,"processed_job_expertise_skills":482,"processed_job_expertise_skills_labels":483,"max_cpc":54,"actual_cpc":55},75547,"director-of-insurance-analytics-mitsui-sumitomo-marine-management-usa-inc","Director of Insurance Analytics",{"name":219,"slug":220,"logo_url":10},[474],"Warren County",[18],225000,250000,[25],{"sql":29,"python":29,"tableau":146,"xgboost":28,"power bi":146,"scikit-learn":28},[33,34,339,481,32,229],"XGBoost",{"analytics":29,"data science":29,"cloud analytics":28,"experimentation":28,"team leadership":28,"causal inference":28,"machine learning":29,"productionization":28,"data visualization":28,"portfolio management":29,"statistical modeling":29,"insurance domain knowledge":28},[484,485,233,359,486,487,404,488,489,184,159,490],"Analytics","Data Science","Experimentation","Causal Inference","Productionization","Cloud Analytics","Team Leadership",{"id":492,"slug":493,"title":494,"raw_title":10,"is_featured":11,"company":495,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":498,"processed_country_iso_code_gmaps":500,"processed_home_office":103,"processed_salary_min":501,"processed_salary_max":502,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":503,"processed_employment_types":26,"processed_it_skills":504,"processed_it_skills_labels":505,"processed_job_expertise_skills":506,"processed_job_expertise_skills_labels":507,"max_cpc":54,"actual_cpc":55},62724,"director-actuary-group-advanced-analytics-001-prudential-ins-co-of-america","Director, Actuary (Group Advanced Analytics)",{"name":496,"slug":497,"logo_url":10},"Prudential Ins Co of America","prudential-ins-co-of-america",[499],"Newark",[18],158800,238200,[25],{"r":28,"sql":28,"excel":28,"python":28,"power bi":28},[148,34,228,33,32],{"pricing":28,"reserving":28,"valuation":28,"data analysis":29,"risk management":29,"model governance":29,"model validation":29,"actuarial science":29,"predictive modeling":29,"statistical modeling":29,"disability claims management":29,"financial performance management":28},[232,508,321,509,510,233,74,186,511,234,512,235],"Disability Claims Management","Model Validation","Model Governance","Financial Performance Management","Valuation",{"id":514,"slug":515,"title":516,"raw_title":10,"is_featured":11,"company":517,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":520,"processed_country_iso_code_gmaps":522,"processed_home_office":103,"processed_salary_min":20,"processed_salary_max":523,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":524,"processed_employment_types":26,"processed_it_skills":525,"processed_it_skills_labels":526,"processed_job_expertise_skills":543,"processed_job_expertise_skills_labels":544,"max_cpc":54,"actual_cpc":55},83647,"senior-engineer-applied-ai-government-employees-insurance-company","Senior Engineer - Applied AI",{"name":518,"slug":519,"logo_url":10},"Government Employees Insurance Company","government-employees-insurance-company",[521],"Bethesda",[18],215000,[25],{"java":28,"python":29,"embabel":28,"langchain":29,"langgraph":29,"langsmith":29,"spring ai":28,"llamaindex":29,"langchain4j":28,"openai apis":29,"hugging face":29,"anthropic apis":29,"service design":29,"knowledge graphs":29,"vector databases":29,"distributed systems":29,"reliability engineering":29,"performance optimization":29},[33,527,528,529,530,531,532,533,68,534,535,536,537,538,539,540,541,542],"LangChain","LangGraph","LangSmith","LlamaIndex","Hugging Face","OpenAI APIs","Anthropic APIs","Spring AI","LangChain4j","Embabel","Vector Databases","Knowledge Graphs","Distributed Systems","Service Design","Performance Optimization","Reliability Engineering",{"generative ai":29,"domain modeling":28,"fraud detection":28,"agentic workflows":29,"anomaly detection":28,"document intelligence":28,"production ai systems":29,"regulatory compliance":28,"ai safety & governance":28,"ai solution architecture":29,"applied machine learning":29,"large language models (llms)":29,"retrieval-augmented generation (rag)":29},[545,360,546,547,548,549,550,551,552,553,554,555,87],"Applied Machine Learning","Large Language Models (LLMs)","Agentic Workflows","AI Solution Architecture","Production AI Systems","Retrieval-Augmented Generation (RAG)","AI Safety & Governance","Domain Modeling","Document Intelligence","Fraud Detection","Anomaly Detection",{"id":557,"slug":558,"title":559,"raw_title":10,"is_featured":11,"company":560,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":561,"processed_country_iso_code_gmaps":562,"processed_home_office":19,"processed_salary_min":105,"processed_salary_max":476,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":563,"processed_employment_types":26,"processed_it_skills":564,"processed_it_skills_labels":565,"processed_job_expertise_skills":566,"processed_job_expertise_skills_labels":567,"max_cpc":54,"actual_cpc":55},69847,"structured-trade-portfolio-monitoring-vice-president-bbva-red-exterior-de-oficinas","Structured Trade Portfolio Monitoring Vice President",{"name":439,"slug":440,"logo_url":10},[16],[18],[25],{"sql":28,"python":28,"power bi":28,"microsoft excel":29},[31,32,34,33],{"digitalization":29,"risk management":29,"security packages":29,"financial analysis":29,"inventory controls":29,"liquidity analysis":29,"warehouse receipts":29,"asset-based lending":29,"covenant monitoring":29,"legal documentation":29,"commodity collateral":29,"portfolio management":29,"process optimization":29,"collateral monitoring":29,"automation initiatives":29,"borrowing base methodologies":29,"structured lending principles":29,"receivables finance structures":29,"structured receivables finance":29,"borrower performance assessment":29,"credit agreements interpretation":29,"structured trade & commodity finance":29},[568,453,569,454,455,159,570,571,572,573,574,575,576,577,182,463,578,579,186,580,581,467],"Structured Trade & Commodity Finance","Structured Receivables Finance","Structured Lending Principles","Commodity Collateral","Inventory Controls","Warehouse Receipts","Receivables Finance Structures","Security Packages","Credit Agreements Interpretation","Legal Documentation","Liquidity Analysis","Borrower Performance Assessment","Process Optimization","Digitalization",{"id":583,"slug":584,"title":585,"raw_title":10,"is_featured":11,"company":586,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":589,"processed_country_iso_code_gmaps":591,"processed_home_office":103,"processed_salary_min":592,"processed_salary_max":593,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":594,"processed_employment_types":26,"processed_it_skills":595,"processed_it_skills_labels":596,"processed_job_expertise_skills":610,"processed_job_expertise_skills_labels":611,"max_cpc":54,"actual_cpc":55},61417,"global-red-team-senior-ai-engineer-vice-president-mufg-bank-ltd","Global Red Team Senior AI Engineer, Vice President",{"name":587,"slug":588,"logo_url":10},"MUFG Bank, Ltd.","mufg-bank-ltd",[590],"Jersey City",[18],141000,194000,[25],{"c#":28,"go":28,"python":29,"javascript":28,"powershell":29,"ai security":29,"mitre atlas":29,"red teaming":29,"llm security":29,"c2 frameworks":29,"cloud security":29,"active directory":29,"microsoft entra id":29,"tooling automation":29,"exploit development":29,"adversary simulation":29,"owasp top 10 for llm applications":29},[33,342,69,597,70,598,599,600,601,602,603,604,605,606,607,608,609],"Go","C2 Frameworks","Cloud Security","Active Directory","Microsoft Entra ID","AI Security","LLM Security","OWASP Top 10 for LLM Applications","MITRE ATLAS","Exploit Development","Red Teaming","Adversary Simulation","Tooling Automation",{"ai red teaming":29,"risk management":29,"control validation":29,"project management":28,"adversarial testing":29,"executive reporting":29,"red team operations":29,"threat intelligence":29,"regulatory compliance":28},[612,613,614,615,186,616,87,617,52],"Red Team Operations","AI Red Teaming","Adversarial Testing","Threat Intelligence","Control Validation","Executive Reporting",{"id":619,"slug":620,"title":621,"raw_title":10,"is_featured":11,"company":622,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":625,"processed_country_iso_code_gmaps":627,"processed_home_office":103,"processed_salary_min":20,"processed_salary_max":628,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":629,"processed_employment_types":26,"processed_it_skills":630,"processed_it_skills_labels":631,"processed_job_expertise_skills":647,"processed_job_expertise_skills_labels":648,"max_cpc":54,"actual_cpc":55},71888,"caas-private-site-reliability-engineer-assistant-vice-president-b264-db-global-technology-inc","CaaS Private Site Reliability Engineer - Assistant Vice President",{"name":623,"slug":624,"logo_url":10},"B264 DB Global Technology, Inc.","b264-db-global-technology-inc",[626],"Cary",[18],153000,[25],{"bash":28,"envoy":146,"istio":146,"kafka":146,"linux":29,"golang":146,"python":28,"splunk":28,"ansible":28,"grafana":28,"mongodb":146,"kubernetes":29,"postgresql":146,"prometheus":28,"opentelemetry":146,"opa gatekeeper":146},[632,33,633,634,635,636,637,638,639,640,641,642,643,644,645,646],"Kubernetes","Ansible","Bash","Prometheus","Grafana","Splunk","OpenTelemetry","Istio","Envoy","OPA Gatekeeper","PostgreSQL","Kafka","MongoDB","Golang","Linux",{"devops":29,"ai tools":28,"compliance":28,"alert tuning":28,"load testing":28,"service mesh":28,"chaos testing":28,"observability":29,"change control":28,"virtualization":28,"containerization":29,"capacity planning":28,"failure injection":28,"incident response":29,"admission controls":28,"traffic management":28,"computer networking":28,"distributed systems":29,"root cause analysis":29,"time synchronization":28,"production engineering":29,"regulated environments":28,"self-healing automation":28,"low-latency environments":28,"deterministic performance":28,"infrastructure management":29,"sr-iov workload constraints":28,"site reliability engineering":29,"policy-driven operational guardrails":28},[649,650,651,652,394,653,654,655,656,657,658,659,660,661,662,349,539,663,664,665,666,667,668,669,670,295,671,672,673],"Site Reliability Engineering","Production Engineering","DevOps","Infrastructure Management","Incident Response","Root Cause Analysis","Capacity Planning","Load Testing","Chaos Testing","Failure Injection","Alert Tuning","Self-Healing Automation","Computer Networking","Virtualization","AI Tools","Service Mesh","Traffic Management","Admission Controls","Policy-Driven Operational Guardrails","Low-Latency Environments","Regulated Environments","Change Control","Time Synchronization","Deterministic Performance","SR-IOV Workload Constraints",{"id":675,"slug":676,"title":677,"raw_title":10,"is_featured":11,"company":678,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":679,"processed_country_iso_code_gmaps":681,"processed_home_office":103,"processed_salary_min":20,"processed_salary_max":523,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":682,"processed_employment_types":26,"processed_it_skills":683,"processed_it_skills_labels":684,"processed_job_expertise_skills":687,"processed_job_expertise_skills_labels":688,"max_cpc":54,"actual_cpc":55},83793,"sr-software-engineer-applied-ai-government-employees-insurance-company","Sr. Software Engineer - Applied AI",{"name":518,"slug":519,"logo_url":10},[680],"Palo Alto",[18],[25],{"java":28,"python":29,"embabel":28,"langchain":29,"langgraph":29,"langsmith":29,"spring ai":28,"llamaindex":29,"openai api":29,"langchain4j":28,"hugging face":29,"anthropic api":29,"service design":29,"knowledge graphs":29,"vector databases":29,"distributed systems":29,"reliability engineering":29,"performance optimization":29},[33,527,528,529,530,531,685,686,68,534,535,536,537,538,539,540,541,542],"OpenAI API","Anthropic API",{"ai agents":29,"applied ai":29,"generative ai":29,"domain modeling":28,"fraud detection":28,"ontology design":28,"machine learning":29,"agentic workflows":29,"anomaly detection":28,"software engineering":29,"document intelligence":28,"production ai systems":29,"ai safety & governance":28,"ai & data architectures":29,"large language models (llms)":29,"retrieval-augmented generation":29},[689,360,546,547,690,549,691,402,551,553,554,555,692,552,693,359],"Applied AI","AI Agents","AI & Data Architectures","Ontology Design","Software Engineering",{"industry":695,"employment_type":774,"expertise_skills":788,"it_skills":858,"salary_currency":934,"processed_working_hours":942},[696,699,702,706,710,713,717,721,725,728,732,735,738,741,744,747,750,753,756,759,762,765,768,771],{"key":697,"label":130,"count":698},"financial services",253,{"key":700,"label":131,"count":701},"insurance",209,{"key":703,"label":704,"count":705},"banking","Banking",102,{"key":707,"label":708,"count":709},"financial markets infrastructure","Financial Markets Infrastructure",43,{"key":711,"label":365,"count":712},"asset management",37,{"key":714,"label":715,"count":716},"data","Data",28,{"key":718,"label":719,"count":720},"data provider","Data Provider",15,{"key":722,"label":723,"count":724},"property","Property",12,{"key":726,"label":727,"count":724},"casualty insurance","Casualty Insurance",{"key":729,"label":730,"count":731},"alternative investments","Alternative Investments",9,{"key":733,"label":186,"count":734},"risk management",6,{"key":736,"label":737,"count":29},"reinsurance","Reinsurance",{"key":739,"label":740,"count":28},"financial markets data","Financial Markets Data",{"key":742,"label":743,"count":28},"infrastructure","Infrastructure",{"key":745,"label":746,"count":28},"credit union","Credit Union",{"key":748,"label":749,"count":146},"alternative asset management","Alternative Asset Management",{"key":751,"label":752,"count":146},"financial technology","Financial Technology",{"key":754,"label":755,"count":54},"financial regulation","Financial Regulation",{"key":757,"label":758,"count":54},"digital banking","Digital Banking",{"key":760,"label":761,"count":54},"financial market infrastructure","Financial Market Infrastructure",{"key":763,"label":764,"count":54},"data services","Data Services",{"key":766,"label":767,"count":54},"claims administration","Claims Administration",{"key":769,"label":770,"count":54},"employee benefits brokerage","Employee Benefits Brokerage",{"key":772,"label":773,"count":54},"investment banking","Investment Banking",[775,778,781,785],{"key":26,"label":776,"count":777},"PERMANENT",552,{"key":316,"label":779,"count":780},"STUDENT",41,{"key":782,"label":783,"count":784},"temporary","TEMPORARY",13,{"key":786,"label":787,"count":54},"contract","CONTRACT",[789,792,795,799,802,805,808,811,814,816,818,822,825,827,829,833,836,839,841,843,847,849,853,856],{"key":790,"label":74,"slug":790,"count":791},"data-analysis",118,{"key":793,"label":186,"slug":793,"count":794},"risk-management",92,{"key":796,"label":797,"slug":796,"count":798},"project-management","Project management",87,{"key":800,"label":87,"slug":800,"count":801},"regulatory-compliance",79,{"key":803,"label":86,"slug":803,"count":804},"data-governance",72,{"key":806,"label":212,"slug":806,"count":807},"automation",50,{"key":809,"label":654,"slug":809,"count":810},"root-cause-analysis",48,{"key":812,"label":398,"slug":812,"count":813},"data-engineering",47,{"key":815,"label":359,"slug":815,"count":709},"machine-learning",{"key":817,"label":693,"slug":817,"count":780},"software-engineering",{"key":819,"label":820,"slug":819,"count":821},"agile-methodologies","Agile Methodologies",40,{"key":823,"label":653,"slug":823,"count":824},"incident-response",35,{"key":826,"label":394,"slug":826,"count":824},"observability",{"key":828,"label":295,"slug":828,"count":824},"compliance",{"key":830,"label":831,"slug":830,"count":832},"software-development","Software Development",34,{"key":834,"label":184,"slug":834,"count":835},"data-visualization",33,{"key":837,"label":43,"slug":837,"count":838},"process-improvement",32,{"key":840,"label":159,"slug":840,"count":838},"portfolio-management",{"key":842,"label":120,"slug":842,"count":838},"data-modeling",{"key":844,"label":845,"slug":844,"count":846},"financial-modeling","Financial Modeling",31,{"key":848,"label":84,"slug":848,"count":846},"vendor-management",{"key":850,"label":851,"slug":850,"count":852},"incident-management","Incident Management",29,{"key":854,"label":855,"slug":854,"count":716},"system-design","System Design",{"key":857,"label":539,"slug":857,"count":716},"distributed-systems",[859,861,864,868,872,875,879,883,886,889,893,897,900,904,907,910,913,915,919,921,925,927,930,932],{"key":860,"label":33,"slug":860,"count":4},"python",{"key":862,"label":34,"slug":862,"count":863},"sql",322,{"key":865,"label":866,"slug":865,"count":867},"aws","Aws",169,{"key":869,"label":870,"slug":869,"count":871},"ms-excel","MS Excel",137,{"key":873,"label":68,"slug":873,"count":874},"java",134,{"key":876,"label":877,"slug":876,"count":878},"ms-azure","MS Azure",133,{"key":880,"label":881,"slug":880,"count":882},"cicd","Ci\u002FCd",111,{"key":884,"label":632,"slug":884,"count":885},"kubernetes",108,{"key":887,"label":228,"slug":887,"count":888},"r",106,{"key":890,"label":891,"slug":890,"count":892},"ms-powerbi","MS PowerBI",94,{"key":894,"label":895,"slug":894,"count":896},"docker","Docker",77,{"key":898,"label":899,"slug":898,"count":896},"powershell","Powershell",{"key":901,"label":902,"slug":901,"count":903},"terraform","Terraform",70,{"key":905,"label":345,"slug":905,"count":906},"git",63,{"key":908,"label":69,"slug":908,"count":909},"c",62,{"key":911,"label":348,"slug":911,"count":912},"snowflake",55,{"key":914,"label":229,"slug":914,"count":912},"tableau",{"key":916,"label":917,"slug":916,"count":918},"gcp","Gcp",51,{"key":908,"label":920,"slug":908,"count":810},"C++",{"key":922,"label":923,"slug":922,"count":924},"sas","Sas",46,{"key":926,"label":110,"slug":926,"count":709},"databricks",{"key":928,"label":929,"slug":928,"count":709},"javascript","Javascript",{"key":931,"label":643,"slug":931,"count":780},"kafka",{"key":933,"label":634,"slug":933,"count":780},"bash",[935,937,940],{"key":22,"label":22,"count":936},603,{"key":938,"label":938,"count":939},"GBP",5,{"key":941,"label":941,"count":146},"MYR",[943,945],{"key":25,"label":25,"count":944},605,{"key":946,"label":946,"count":939},"PART_TIME",{"total":314,"jobs":948},[],{"image_path":950,"content_de":951,"content_en":964,"composite_key":977,"last_updated":978},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":952,"tab2":955,"tab3":958,"tab4":961},{"title":953,"content":954},"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":956,"content":957},"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":959,"content":960},"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":962,"content":963},"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":965,"tab2":968,"tab3":971,"tab4":974},{"title":966,"content":967},"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":969,"content":970},"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":972,"content":973},"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":975,"content":976},"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"]