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loss prevention (DLP)","Encryption","Access controls","Identity and access management (IAM)","Zero Trust principles","Regulatory compliance (GDPR, HIPAA, CCPA)","Incident response","Threat detection","Risk assessment","Data governance","Security audits","Automation and scripting",{"id":546,"slug":547,"title":548,"raw_title":10,"is_featured":11,"company":549,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":550,"processed_country_iso_code_gmaps":552,"processed_home_office":19,"processed_salary_min":553,"processed_salary_max":554,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":555,"processed_employment_types":26,"processed_it_skills":556,"processed_it_skills_labels":557,"processed_job_expertise_skills":561,"processed_job_expertise_skills_labels":562,"max_cpc":112,"actual_cpc":113},49145,"global-sanctions-list-management-analyst-mufg-bank-ltd","Global Sanctions - List Management Analyst",{"name":13,"slug":14,"logo_url":10},[551],"Irving",[18],70000,82000,[25],{"sql":29,"python":29,"alteryx":29,"tableau":29,"power bi":29,"excel vba":29,"microsoft word":29,"microsoft excel":29},[57,45,185,241,558,559,238,560],"Alteryx","Excel VBA","Microsoft Word",{"ai":29,"aml":28,"automation":29,"recordkeeping":28,"data analytics":29,"list management":28,"quality control":28,"risk management":28,"sanctions compliance":28,"large language models":29,"regulatory compliance":28,"watchlist maintenance":28,"reconciliation reporting":28},[563,564,565,155,566,567,568,569,570,571,198,572,573],"Sanctions Compliance","AML","Risk Management","List Management","Watchlist Maintenance","Quality Control","Reconciliation Reporting","Recordkeeping","Data Analytics","AI","Large Language Models",{"id":575,"slug":576,"title":577,"raw_title":10,"is_featured":11,"company":578,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":581,"processed_country_iso_code_gmaps":582,"processed_home_office":124,"processed_salary_min":583,"processed_salary_max":584,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":585,"processed_employment_types":26,"processed_it_skills":586,"processed_it_skills_labels":587,"processed_job_expertise_skills":608,"processed_job_expertise_skills_labels":609,"max_cpc":112,"actual_cpc":113},57190,"manager-security-incident-response-5h0-hub-international-limited","Manager, Security Incident Response",{"name":579,"slug":580,"logo_url":10},"Hub International Limited","hub-international-limited",[231],[18],130000,150000,[25],{"aws":28,"cdn":28,"dns":28,"edr":28,"gcp":28,"waf":28,"http":28,"o365":28,"saml":28,"sans":28,"siem":28,"soar":28,"azure":28,"entra":28,"oauth":28,"python":28,"tcp\u002Fip":28,"powershell":28,"nist 800-61":28,"log analysis":28,"shell scripting":28,"digital forensics":28,"evidence handling":28,"incident response":28,"timeline reconstruction":28,"microsoft active directory":28},[394,57,588,589,590,591,592,593,594,595,53,54,596,597,598,599,396,600,601,602,539,603,604,605,606,607],"Shell scripting","TCP\u002FIP","DNS","CDN","HTTP","WAF","OAuth","SAML","GCP","Microsoft Active Directory","Entra","O365","EDR","SOAR","Digital forensics","Log analysis","Timeline reconstruction","Evidence handling","NIST 800-61","SANS",{"threat hunting":28,"kpi development":28,"team management":28,"project management":28,"tabletop exercises":28,"root cause analysis":28,"forensic methodology":28,"playbook development":28,"technical archeology":28,"detection engineering":28,"security policy compliance":28,"escalation framework design":28,"incident response management":28},[610,611,612,613,465,614,615,94,616,617,618,619,620],"Incident Response Management","Detection Engineering","Threat Hunting","Forensic Methodology","KPI Development","Team Management","Security Policy Compliance","Technical Archeology","Playbook Development","Escalation Framework Design","Tabletop Exercises",{"id":622,"slug":623,"title":624,"raw_title":10,"is_featured":11,"company":625,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":626,"processed_country_iso_code_gmaps":627,"processed_home_office":124,"processed_salary_min":628,"processed_salary_max":321,"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":637,"processed_job_expertise_skills_labels":638,"max_cpc":112,"actual_cpc":113},49766,"senior-infrastructure-security-engineer-casb-and-dspm-prudential-ins-co-of-america","Senior Infrastructure Security Engineer - CASB and DSPM",{"name":509,"slug":510,"logo_url":10},[512],[18],104000,[25],{"aws":29,"casb":28,"dspm":28,"azure":29,"python":29,"splunk":29,"zscaler":28,"entra id":29,"powershell":29,"microsoft 365":28,"cloud security":28,"api integration":29},[519,632,633,634,635,54,53,525,636,394,57,527],"Microsoft 365","Cloud Security","CASB","DSPM","Entra ID",{"compliance":29,"data security":28,"risk assessment":29,"incident response":29,"cloud architecture":28,"data classification":29,"security policy enforcement":28},[639,640,641,539,642,532,541],"Data security","Cloud architecture","Security policy enforcement","Compliance",{"id":644,"slug":645,"title":646,"raw_title":10,"is_featured":11,"company":647,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":650,"processed_country_iso_code_gmaps":652,"processed_home_office":19,"processed_salary_min":653,"processed_salary_max":583,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":654,"processed_employment_types":26,"processed_it_skills":655,"processed_it_skills_labels":656,"processed_job_expertise_skills":660,"processed_job_expertise_skills_labels":661,"max_cpc":112,"actual_cpc":113},58091,"engineer-sip-1110-invesco-group-services-inc","Engineer., SIP",{"name":648,"slug":649,"logo_url":10},"Invesco Group Services, INC.","invesco-group-services-inc",[651],"Atlanta",[18],90000,[25],{"aws":183,"git":183,"azure":183,"react":29,"cursor":29,"docker":183,"python":29,"llm apis":29,"langchain":183,"langgraph":183,"typescript":29,"github copilot":29},[57,38,35,51,325,53,54,657,493,658,280,659],"LangGraph","LLM APIs","Cursor",{"rapid prototyping":29,"agentic frameworks":183,"ai-first engineering":29,"testing and automation":183,"system prompt engineering":183,"ai application development":29,"cloud-native microservices":183},[662,663,664,665,666,667,668],"AI Application Development","Agentic Frameworks","Cloud-Native Microservices","System Prompt Engineering","AI-First Engineering","Rapid Prototyping","Testing and Automation",{"id":670,"slug":671,"title":672,"raw_title":10,"is_featured":11,"company":673,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":677,"processed_country_iso_code_gmaps":679,"processed_home_office":19,"processed_salary_min":680,"processed_salary_max":584,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":681,"processed_employment_types":26,"processed_it_skills":682,"processed_it_skills_labels":683,"processed_job_expertise_skills":699,"processed_job_expertise_skills_labels":700,"max_cpc":112,"actual_cpc":113},44682,"software-engineer-american-century-services-llc","Software Engineer",{"name":674,"slug":675,"logo_url":676},"American Century Services, LLC","american-century-services-llc","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fbd\u002FAmerican_Century_Investments_Logo.svg\u002F320px-American_Century_Investments_Logo.svg.png",[678],"Tower One",[18],100000,[25],{"db2":29,"sql":28,"nosql":29,"numpy":28,"aws s3":28,"pandas":28,"python":28,"aws sns":29,"aws sqs":29,"aws glue":29,"aws lambda":28,"postgresql":29,"sql server":29,"spring boot":29,"apache spark":29,"data modeling":28,"etl pipelines":28,"microservices":28,"agile framework":29,"java spring batch":29,"aws step functions":28},[57,684,685,686,687,688,689,690,691,692,45,693,694,695,696,34,448,250,697,64,698],"Pandas","NumPy","AWS S3","AWS Step Functions","AWS Lambda","AWS SNS","AWS SQS","AWS Glue","Apache Spark","SQL Server","PostgreSQL","DB2","Java Spring Batch","ETL Pipelines","Agile Framework",{"data analysis":28,"etl development":28,"risk management":29,"investment analytics":29,"portfolio operations":29,"investment management":28,"cloud native development":28,"data vendors (bloomberg, factset)":29},[701,193,565,702,703,704,705,706],"Investment Management","Investment Analytics","Portfolio Operations","ETL Development","Cloud Native Development","Data Vendors (Bloomberg, FactSet)",{"id":708,"slug":709,"title":710,"raw_title":10,"is_featured":11,"company":711,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":714,"processed_country_iso_code_gmaps":715,"processed_home_office":124,"processed_salary_min":680,"processed_salary_max":389,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":716,"processed_employment_types":26,"processed_it_skills":717,"processed_it_skills_labels":718,"processed_job_expertise_skills":725,"processed_job_expertise_skills_labels":726,"max_cpc":112,"actual_cpc":113},69856,"ig-flow-credit-trader-bbva-securities-new-york","IG Flow Credit Trader",{"name":712,"slug":713,"logo_url":10},"BBVA SECURITIES NEW YORK","bbva-securities-new-york",[122],[18],[25],{"bql":29,"sql":29,"python":29,"trumid":29,"tradeweb":29,"bloomberg":29,"marketaxess":29,"bloomberg excel apis":29},[57,45,719,720,721,722,723,724],"Bloomberg Excel APIs","BQL","Bloomberg","Tradeweb","MarketAxess","TruMid",{"mentoring":29,"trace data":29,"market making":28,"credit analysis":28,"risk management":28,"portfolio trading":29,"fixed income products":28,"corporate bond markets":28,"relative value trading":28,"electronic trading platforms":29,"investment grade credit trading":28},[727,728,565,729,730,731,732,733,734,735,736],"Investment Grade Credit Trading","Market Making","Credit Analysis","Relative Value Trading","Fixed Income Products","Corporate Bond Markets","Electronic Trading Platforms","TRACE Data","Portfolio Trading","Mentoring",{"id":738,"slug":739,"title":740,"raw_title":10,"is_featured":11,"company":741,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":744,"processed_country_iso_code_gmaps":745,"processed_home_office":124,"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":751,"processed_job_expertise_skills_labels":752,"max_cpc":112,"actual_cpc":113},63400,"senior-financial-markets-specialist-financial-markets-specialist-financial-markets-group-federal-reserve-bank-of-chicago","Senior Financial Markets Specialist \u002F Financial Markets Specialist, Financial Markets Group",{"name":742,"slug":743,"logo_url":10},"Federal Reserve Bank of Chicago","federal-reserve-bank-of-chicago",[231],[18],115200,160000,[25],{"r":28,"python":28},[131,57],{"research":28,"data analysis":28,"policy analysis":28,"financial markets analysis":28,"stakeholder relationship management":28},[753,754,193,755,756],"Financial Markets Analysis","Policy Analysis","Research","Stakeholder Relationship Management",{"image_path":758,"content_de":759,"content_en":772,"composite_key":785,"last_updated":786},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":760,"tab2":763,"tab3":766,"tab4":769},{"title":761,"content":762},"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":764,"content":765},"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":767,"content":768},"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":770,"content":771},"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":773,"tab2":776,"tab3":779,"tab4":782},{"title":774,"content":775},"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":777,"content":778},"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":780,"content":781},"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":783,"content":784},"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":788,"employment_type":870,"expertise_skills":885,"it_skills":959,"salary_currency":1034,"processed_working_hours":1042},[789,793,797,801,805,809,813,817,821,824,828,831,834,837,840,843,846,849,852,855,858,861,864,867],{"key":790,"label":791,"count":792},"financial services","Financial Services",253,{"key":794,"label":795,"count":796},"insurance","Insurance",209,{"key":798,"label":799,"count":800},"banking","Banking",102,{"key":802,"label":803,"count":804},"financial markets infrastructure","Financial Markets Infrastructure",43,{"key":806,"label":807,"count":808},"asset management","Asset Management",37,{"key":810,"label":811,"count":812},"data","Data",28,{"key":814,"label":815,"count":816},"data provider","Data 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