[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-us":3,"job-search-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=13":33,"skill-page-filters-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=13":733,"featured-jobs-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=13":993},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"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":10,"content":11},"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":13,"content":14},"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":16,"content":17},"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":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"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":23,"content":24},"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":26,"content":27},"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":29,"content":30},"Career & Development","A career with Python in the [Vereinigte Staaten](\u002Fsearch) financial industry often starts with roles in data analysis, quantitative research, or software development, leading to positions like financial analyst, data scientist, or portfolio manager. To learn Python, pursue online courses, certifications, or degrees in computer science or finance, and practice with real-world projects involving [SQL](\u002Fjobs-by-skill\u002Fsql), [AWS](\u002Fjobs-by-skill\u002Faws), and [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning). Complement Python with skills in [Excel](\u002Fjobs-by-skill\u002Fexcel), [Java](\u002Fjobs-by-skill\u002Fjava), and [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing) to enhance employability. Focus on developing expertise in [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) and [Process Improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) to advance in fields like [Asset Management](\u002Fjobs-by-expertise\u002Fasset-management) and [Investment Banking](\u002Fjobs-by-expertise\u002Finvestment-banking). Continuous learning and staying updated with industry trends are key to long-term success and growth in this dynamic field.","skill:python:us","2026-08-17T09:01:42.481430+02:00",{"total":34,"jobs":35},610,[36,92,117,152,244,274,305,340,373,401,421,467,498,526,562,591,619,644,672,707],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":47,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":54,"processed_employment_types":56,"processed_it_skills":57,"processed_it_skills_labels":60,"processed_job_expertise_skills":68,"processed_job_expertise_skills_labels":69,"max_cpc":90,"actual_cpc":91},77597,"polypath-market-risk-technology-specialist-javapython-santander-us-capital-markets-llc","PolyPath Market Risk Technology Specialist (Java\u002FPython)",null,false,{"name":43,"slug":44,"logo_url":40},"Santander US Capital Markets LLC","santander-us-capital-markets-llc",[46],"New York",[48],"US","onsite",175000,220000,"USD","estimated",[55],"FULL_TIME","permanent",{"apis":58,"java":59,"python":59,"polypath":59,"data pipelines":58,"batch processes":58,"messaging frameworks":58},3,4,[61,62,63,64,65,66,67],"Python","Java","PolyPath","APIs","Messaging Frameworks","Batch Processes","Data Pipelines",{"var":59,"pricing":59,"alerting":58,"valuation":59,"automation":58,"monitoring":58,"market data":59,"market risk":59,"risk factors":59,"yield curves":59,"sensitivities":59,"risk analytics":59,"stress testing":59,"issue management":59,"scenario analysis":59,"production support":59,"system integration":58,"root-cause analysis":59,"structured products":59,"fixed income products":59},[70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89],"Market Risk","Fixed Income Products","Structured Products","Pricing","Valuation","Risk Analytics","Sensitivities","Stress Testing","Scenario Analysis","VaR","Yield Curves","Risk Factors","Market Data","Production Support","Issue Management","Root-Cause Analysis","System Integration","Automation","Monitoring","Alerting",1,1.5,{"id":93,"slug":94,"title":95,"raw_title":40,"is_featured":41,"company":96,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":100,"processed_country_iso_code_gmaps":101,"processed_home_office":49,"processed_salary_min":102,"processed_salary_max":103,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":104,"processed_employment_types":56,"processed_it_skills":105,"processed_it_skills_labels":106,"processed_job_expertise_skills":107,"processed_job_expertise_skills_labels":108,"max_cpc":90,"actual_cpc":91},77546,"associate-polypaths-technology-specialist-banco-santander-sa","Associate, PolyPaths Technology Specialist",{"name":97,"slug":98,"logo_url":99},"Banco Santander S.A.","banco-santander-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[],[48],145000,180000,[55],{"apis":58,"java":59,"python":59,"polypath":59,"data pipelines":58,"batch processes":58,"messaging frameworks":58},[61,62,63,64,65,67,66],{"var":59,"automation":58,"risk factors":59,"yield curves":59,"risk analytics":59,"stress testing":59,"scenario analysis":59,"production support":59,"system integration":58,"root-cause analysis":59,"structured products":59,"fixed income products":59,"pricing and valuation":59,"market risk management":59,"sensitivities analysis":59,"asset-backed securities":59,"market data integration":59,"monitoring and alerting":58,"mortgage-backed securities":59,"collateralized mortgage obligations":59},[109,71,72,110,111,112,113,75,79,77,78,114,80,81,115,86,83,85,87,116],"Market Risk Management","Mortgage-Backed Securities","Collateralized Mortgage Obligations","Asset-Backed Securities","Pricing and Valuation","Sensitivities Analysis","Market Data Integration","Monitoring and Alerting",{"id":118,"slug":119,"title":120,"raw_title":40,"is_featured":41,"company":121,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":124,"processed_country_iso_code_gmaps":126,"processed_home_office":49,"processed_salary_min":127,"processed_salary_max":128,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":129,"processed_employment_types":56,"processed_it_skills":130,"processed_it_skills_labels":132,"processed_job_expertise_skills":139,"processed_job_expertise_skills_labels":140,"max_cpc":90,"actual_cpc":91},76218,"cyber-intelligence-analyst-state-employees-credit-union","Cyber Intelligence Analyst",{"name":122,"slug":123,"logo_url":40},"State Employees' Credit Union","state-employees-credit-union",[125],"Raleigh",[48],90000,130000,[55],{"spl":59,"apis":131,"ci\u002Fcd":131,"github":131,"python":131,"splunk":59,"stix\u002Ftaxii":131,"version control":131},2,[133,134,61,64,135,136,137,138],"Splunk","SPL","STIX\u002FTAXII","GitHub","CI\u002FCD","Version Control",{"ai security":131,"mitre att&ck":59,"soc analysis":59,"threat hunting":59,"incident response":58,"threat intelligence":59,"application security":131,"detection engineering":59,"supply chain security":131,"vulnerability management":58,"cyber threat exposure management (ctem)":131},[141,142,143,144,145,146,147,148,149,150,151],"Threat Intelligence","Detection Engineering","Threat Hunting","SOC Analysis","MITRE ATT&CK","Vulnerability Management","Incident Response","Cyber Threat Exposure Management (CTEM)","AI Security","Supply Chain Security","Application Security",{"id":153,"slug":154,"title":155,"raw_title":40,"is_featured":41,"company":156,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":159,"processed_country_iso_code_gmaps":161,"processed_home_office":162,"processed_salary_min":163,"processed_salary_max":164,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":165,"processed_employment_types":56,"processed_it_skills":166,"processed_it_skills_labels":167,"processed_job_expertise_skills":207,"processed_job_expertise_skills_labels":208,"max_cpc":90,"actual_cpc":91},83667,"sr-staff-engineer-martechaillm-government-employees-insurance-company","Sr. Staff Engineer (Martech\u002FAI\u002FLLM)",{"name":157,"slug":158,"logo_url":40},"Government Employees Insurance Company","government-employees-insurance-company",[160],"Bethesda",[48],"hybrid",110000,260000,[55],{"c#":59,"go":58,"aws":58,"c++":59,"gcp":58,"llm":59,"sql":59,"grpc":59,"java":59,"saas":59,"azure":59,"kafka":59,"mysql":59,"nosql":59,"docker":59,"python":59,"graphql":59,"cassandra":59,"cosmos db":59,"deployment":59,"kubernetes":59,"operations":59,"postgresql":59,"apache trino":59,"generative ai":59,"microservices":59,"api integration":59,"test engineering":59,"vector retrieval":59,"ai\u002Fllm evaluation":59,"automated testing":59,"developer tooling":59,"agent architectures":59,"open-source databases":59,"full-stack development":59,"object-oriented design":59,"source code management":59,"workflow orchestration":59,"real-time communication":59,"event-driven architecture":59,"retrieval-augmented generation":59},[61,168,62,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206],"C#","C++","Go","SQL","NoSQL","Docker","Kubernetes","Azure","AWS","GCP","GraphQL","gRPC","Kafka","MySQL","PostgreSQL","Cassandra","Cosmos DB","Apache Trino","LLM","Generative AI","AI\u002FLLM Evaluation","Retrieval-Augmented Generation","Vector Retrieval","Agent Architectures","Workflow Orchestration","API Integration","Event-Driven Architecture","Microservices","Automated Testing","Test Engineering","Full-Stack Development","SaaS","Object-Oriented Design","Open-Source Databases","Developer Tooling","Source Code Management","Deployment","Operations","Real-Time Communication",{"forecasting":59,"cost analysis":59,"ai integration":59,"nosql databases":59,"product roadmap":59,"software design":59,"api architecture":59,"test engineering":59,"vector retrieval":59,"ai\u002Fllm evaluation":59,"automated testing":59,"business planning":59,"developer tooling":59,"ai\u002Fllm measurement":59,"regression testing":59,"agent architectures":59,"low-latency systems":59,"outcome measurement":59,"service development":59,"microservices design":59,"async\u002Fagent workflows":59,"engineering direction":59,"open-source databases":59,"resource requirements":59,"retrieval integration":59,"software architecture":59,"intelligent automation":59,"object-oriented design":59,"workflow orchestration":59,"generative ai solutions":59,"multi-step ai processes":59,"saas products\u002Fplatforms":59,"ai inference integration":59,"knowledge\u002Fcontext design":59,"event-driven architecture":59,"messaging-based solutions":59,"failure-tolerant workflows":59,"technical roadmap strategy":59,"technical roadmap execution":59,"ai\u002Fllm iterative improvement":59,"ai\u002Fllm production deployment":59,"operational process evaluation":59,"software development life cycle":59,"resilient event-driven solutions":59,"full-stack application development":59},[209,210,188,211,212,213,214,215,216,191,192,190,217,218,219,220,221,222,194,223,224,225,226,227,228,229,230,200,201,231,202,232,197,196,233,234,235,236,237,238,239,240,241,242,243],"Software Architecture","Software Design","AI\u002FLLM Measurement","AI\u002FLLM Iterative Improvement","AI\u002FLLM Production Deployment","Generative AI Solutions","Intelligent Automation","AI Integration","Knowledge\u002FContext Design","Full-Stack Application Development","Service Development","SaaS Products\u002FPlatforms","Microservices Design","API Architecture","AI Inference Integration","Retrieval Integration","Async\u002FAgent Workflows","Resilient Event-Driven Solutions","Messaging-Based Solutions","Low-Latency Systems","Failure-Tolerant Workflows","Multi-Step AI Processes","NoSQL Databases","Software Development Life Cycle","Regression Testing","Cost Analysis","Forecasting","Business Planning","Resource Requirements","Operational Process Evaluation","Outcome Measurement","Technical Roadmap Strategy","Technical Roadmap Execution","Engineering Direction","Product Roadmap",{"id":245,"slug":246,"title":247,"raw_title":40,"is_featured":41,"company":248,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":249,"processed_country_iso_code_gmaps":250,"processed_home_office":162,"processed_salary_min":251,"processed_salary_max":252,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":253,"processed_employment_types":56,"processed_it_skills":254,"processed_it_skills_labels":255,"processed_job_expertise_skills":257,"processed_job_expertise_skills_labels":258,"max_cpc":90,"actual_cpc":91},83668,"staff-data-scientist-product-government-employees-insurance-company","Staff Data Scientist, Product",{"name":157,"slug":158,"logo_url":40},[160],[48],115000,230000,[55],{"r":58,"sql":59,"python":58},[171,61,256],"R",{"statistics":59,"a\u002Fb testing":59,"forecasting":59,"data science":59,"roi modeling":59,"uplift modeling":58,"bayesian methods":58,"causal inference":59,"decision science":59,"machine learning":58,"decision modeling":59,"metric frameworks":59,"product analytics":59,"sequential testing":58,"hierarchical models":58,"root cause analysis":59},[259,260,261,262,263,264,265,235,266,267,268,269,270,271,272,273],"Product Analytics","Decision Science","Data Science","A\u002FB Testing","Causal Inference","Statistics","Decision Modeling","ROI Modeling","Root Cause Analysis","Metric Frameworks","Bayesian Methods","Hierarchical Models","Sequential Testing","Uplift Modeling","Machine Learning",{"id":275,"slug":276,"title":277,"raw_title":40,"is_featured":41,"company":278,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":281,"processed_country_iso_code_gmaps":282,"processed_home_office":49,"processed_salary_min":283,"processed_salary_max":284,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":285,"processed_employment_types":56,"processed_it_skills":286,"processed_it_skills_labels":287,"processed_job_expertise_skills":289,"processed_job_expertise_skills_labels":290,"max_cpc":90,"actual_cpc":91},75179,"analyst-market-supervision-lse-24-london-stock-exchange-group-holdings-inc","Analyst, Market Supervision, LSE 24",{"name":279,"slug":280,"logo_url":40},"London Stock Exchange Group Holdings Inc","london-stock-exchange-group-holdings-inc",[46],[48],75700,126100,[55],{"sql":131,"python":131,"microsoft excel":58},[288,171,61],"Microsoft Excel",{"mar":131,"mifir":131,"mifid ii":131,"data analysis":59,"exchange rules":58,"report writing":58,"market supervision":59,"market surveillance":59,"regulatory compliance":58,"market abuse detection":58,"order and trade lifecycle":58,"trading systems knowledge":58,"financial markets knowledge":59,"extended-hours trading models":131},[291,292,293,294,295,296,297,298,299,300,301,302,303,304],"Market Supervision","Market Surveillance","Financial Markets Knowledge","Market Abuse Detection","Regulatory Compliance","Trading Systems Knowledge","Data Analysis","Report Writing","MiFID II","MiFIR","MAR","Exchange Rules","Order and Trade Lifecycle","Extended-Hours Trading 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