[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-us":3,"job-search-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=19":33,"featured-jobs-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=19":709,"skill-page-filters-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=19":712},{"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,[36,102,140,172,207,234,276,299,345,376,395,429,454,500,528,555,576,628,657,685],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":44,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":48,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":55,"processed_employment_types":57,"processed_it_skills":58,"processed_it_skills_labels":60,"processed_job_expertise_skills":65,"processed_job_expertise_skills_labels":67,"max_cpc":100,"actual_cpc":101},68974,"senior-futures-risk-analyst-moomoo","Senior Futures Risk Analyst",null,false,{"name":43,"slug":43,"logo_url":40},"moomoo","https:\u002F\u002Fworkablehr.s3.amazonaws.com\u002Fuploads\u002Faccount\u002Flogo\u002F661829\u002Flogo",[46,47],"Jersey City","Dallas",[49],"US","onsite",125000,165000,"USD","estimated",[56],"FULL_TIME","permanent",{"sql":59,"python":59,"excel\u002Fvba":59,"data-analysis platforms":59},3,[61,62,63,64],"SQL","Python","Excel\u002FVBA","Data-analysis platforms",{"span":66,"cme core":66,"nfa rules":66,"cftc rules":66,"credit risk":66,"initial margin":66,"risk reporting":66,"stress-testing":66,"cme group rules":66,"position limits":66,"variation margin":66,"margin operations":66,"maintenance margin":66,"account aggregation":66,"clearing operations":66,"value-at-risk (var)":66,"accountability levels":66,"escalation procedures":66,"intraday margin calls":66,"regulatory compliance":66,"credit risk monitoring":66,"margin risk monitoring":66,"market risk monitoring":66,"futures risk management":66,"liquidity risk monitoring":66,"end-of-day margin processes":66,"concentration risk monitoring":66,"futures contract specifications":66,"cme globex credit controls (gc2)":66,"reportable-position requirements":66,"market-data anomaly investigation":66,"settlement and delivery mechanics":66},4,[68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99],"Futures risk management","Clearing operations","Margin operations","Credit risk","Futures contract specifications","Settlement and delivery mechanics","Initial margin","Maintenance margin","Variation margin","Intraday margin calls","End-of-day margin processes","Market risk monitoring","Credit risk monitoring","Margin risk monitoring","Concentration risk monitoring","Liquidity risk monitoring","SPAN","CME CORE","Position limits","Accountability levels","Reportable-position requirements","Account aggregation","Stress-testing","Value-at-Risk (VaR)","CME Globex Credit Controls (GC2)","Market-data anomaly investigation","Escalation procedures","CFTC rules","NFA rules","CME Group rules","Risk reporting","Regulatory compliance",1,1.5,{"id":103,"slug":104,"title":105,"raw_title":40,"is_featured":41,"company":106,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":109,"processed_country_iso_code_gmaps":111,"processed_home_office":50,"processed_salary_min":112,"processed_salary_max":113,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":114,"processed_employment_types":57,"processed_it_skills":115,"processed_it_skills_labels":116,"processed_job_expertise_skills":128,"processed_job_expertise_skills_labels":129,"max_cpc":100,"actual_cpc":101},53089,"principal-ai-engineering-lead-0200-ares-operations-llc","Principal, AI Engineering Lead",{"name":107,"slug":108,"logo_url":40},"Ares Operations LLC","ares-operations-llc",[110],"New York",[49],275000,350000,[56],{"sql":59,"azure":66,"ci\u002Fcd":59,"ragas":59,"docker":59,"mlflow":59,"python":66,"fastapi":66,"litellm":59,"langfuse":59,"langgraph":59,"databricks":66,"kubernetes":59},[62,61,117,118,119,120,121,122,123,124,125,126,127],"Databricks","Azure","MLflow","Docker","Kubernetes","CI\u002FCD","FastAPI","LangGraph","LiteLLM","Langfuse","RAGAS",{"compliance":66,"rag pipelines":66,"model registry":66,"data governance":66,"machine learning":66,"prompt governance":66,"architecture design":66,"technical leadership":66,"agentic orchestration":66,"llm application development":66},[130,131,132,133,134,135,136,137,138,139],"Machine Learning","LLM Application Development","RAG Pipelines","Agentic Orchestration","Model Registry","Prompt Governance","Data Governance","Compliance","Architecture Design","Technical Leadership",{"id":141,"slug":142,"title":143,"raw_title":40,"is_featured":41,"company":144,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":147,"processed_country_iso_code_gmaps":149,"processed_home_office":50,"processed_salary_min":150,"processed_salary_max":151,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":152,"processed_employment_types":57,"processed_it_skills":153,"processed_it_skills_labels":154,"processed_job_expertise_skills":161,"processed_job_expertise_skills_labels":162,"max_cpc":100,"actual_cpc":101},67539,"cybersecurity-ops-technologist-splunk-siem-engineer-020-travelers-indemnity-co","Cybersecurity Ops Technologist - Splunk SIEM Engineer",{"name":145,"slug":146,"logo_url":40},"Travelers Indemnity Co","travelers-indemnity-co",[148],"Hartford",[49],99100,163400,[56],{"siem":66,"ci\u002Fcd":59,"linux":59,"python":59,"splunk":66,"windows":59,"scripting":59,"aws cloud services":59},[155,156,62,157,158,159,160,122],"Splunk","SIEM","AWS Cloud Services","Linux","Windows","Scripting",{"authorization":59,"access control":59,"authentication":59,"data pipelining":66,"log aggregation":66,"network security":59,"threat detection":66,"security operations":66,"cyber threat analysis":59},[163,164,165,166,167,168,169,170,171],"Security Operations","Threat Detection","Data Pipelining","Log Aggregation","Network Security","Cyber Threat Analysis","Access Control","Authentication","Authorization",{"id":173,"slug":174,"title":175,"raw_title":40,"is_featured":41,"company":176,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":177,"processed_country_iso_code_gmaps":179,"processed_home_office":50,"processed_salary_min":180,"processed_salary_max":181,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":182,"processed_employment_types":57,"processed_it_skills":183,"processed_it_skills_labels":185,"processed_job_expertise_skills":197,"processed_job_expertise_skills_labels":198,"max_cpc":100,"actual_cpc":101},67542,"senior-cybersecurity-technologist-020-travelers-indemnity-co","Senior Cybersecurity Technologist",{"name":145,"slug":146,"logo_url":40},[178],"Atlanta",[49],126500,208700,[56],{"aws":184,"pki":59,"ldap":59,"saml":59,"azure":184,"python":59,"cyberark":66,"kerberos":59,"rest api":66,"linux\u002Funix":59,"powershell":66,"windows server":66,"active directory":66},2,[186,187,62,188,189,190,191,192,193,194,195,196,118],"CyberArk","PowerShell","REST API","Windows Server","Active Directory","Linux\u002FUnix","LDAP","SAML","Kerberos","PKI","AWS",{"automation":66,"disaster recovery":66,"high availability":66,"cyberark architecture":66,"it security engineering":66,"regulated industry experience":59,"identity and access management":66,"privileged access management (pam)":66},[199,200,201,202,203,204,205,206],"Privileged Access Management (PAM)","CyberArk Architecture","Disaster Recovery","High Availability","Automation","Identity and Access Management","IT Security Engineering","Regulated Industry Experience",{"id":208,"slug":209,"title":210,"raw_title":40,"is_featured":41,"company":211,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":214,"processed_country_iso_code_gmaps":216,"processed_home_office":50,"processed_salary_min":217,"processed_salary_max":218,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":219,"processed_employment_types":57,"processed_it_skills":220,"processed_it_skills_labels":221,"processed_job_expertise_skills":225,"processed_job_expertise_skills_labels":226,"max_cpc":100,"actual_cpc":101},63339,"senior-actuary-privilege-underwriters-inc","Senior Actuary",{"name":212,"slug":213,"logo_url":40},"Privilege Underwriters, Inc.","privilege-underwriters-inc",[215],"Chicago",[49],155000,185000,[56],{"r":59,"sas":59,"sql":59,"excel":59,"python":59},[61,62,222,223,224],"R","SAS","Excel",{"ratemaking":66,"rate filings":66,"actuarial pricing":66,"financial analysis":59,"predictive analytics":66,"regulatory compliance":66,"insurance product knowledge":59},[227,228,229,230,231,232,233],"Actuarial Pricing","Ratemaking","Predictive Analytics","Regulatory Compliance","Rate Filings","Insurance Product Knowledge","Financial Analysis",{"id":235,"slug":236,"title":237,"raw_title":40,"is_featured":41,"company":238,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":241,"processed_country_iso_code_gmaps":243,"processed_home_office":50,"processed_salary_min":244,"processed_salary_max":245,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":246,"processed_employment_types":57,"processed_it_skills":247,"processed_it_skills_labels":248,"processed_job_expertise_skills":254,"processed_job_expertise_skills_labels":255,"max_cpc":100,"actual_cpc":101},55757,"product-owner-iii-data-amp-analytics-columbia-bank","Product Owner III, Data & Analytics",{"name":239,"slug":240,"logo_url":40},"Columbia Bank","columbia-bank",[242],"San Jose",[49],110000,140000,[56],{"sql":59,"ncino":66,"python":59,"tableau":66,"power bi":66,"salesforce":66,"data analytics":66},[249,250,251,252,253,61,62],"Power BI","Tableau","Salesforce","nCino","Data Analytics",{"lean":59,"safe":59,"scrum":66,"kanban":59,"reporting":66,"six sigma":59,"roi analysis":59,"user stories":66,"data strategy":66,"data governance":66,"release planning":59,"business analysis":66,"backlog management":66,"banking operations":66,"product management":66,"agile methodologies":66,"process improvement":66,"business intelligence":66,"dashboard development":66,"regulatory compliance":66,"stakeholder management":66,"underwriting workflows":66},[256,257,136,258,259,260,261,262,263,264,265,230,266,267,268,269,270,271,272,273,274,275],"Product Management","Business Analysis","Business Intelligence","Process Improvement","Agile Methodologies","Scrum","SAFe","Kanban","Banking Operations","Underwriting Workflows","Data Strategy","Reporting","Dashboard Development","User Stories","Backlog Management","Release Planning","Stakeholder Management","ROI Analysis","Lean","Six Sigma",{"id":277,"slug":278,"title":279,"raw_title":40,"is_featured":41,"company":280,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":283,"processed_country_iso_code_gmaps":285,"processed_home_office":286,"processed_salary_min":287,"processed_salary_max":288,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":289,"processed_employment_types":57,"processed_it_skills":290,"processed_it_skills_labels":291,"processed_job_expertise_skills":293,"processed_job_expertise_skills_labels":294,"max_cpc":100,"actual_cpc":101},56473,"business-intelligence-manager-specialty-equipment-gaic-great-american-insurance-company","Business Intelligence Manager - Specialty Equipment",{"name":281,"slug":282,"logo_url":40},"Great American Insurance Company","great-american-insurance-company",[284],"Cincinnati",[49],"hybrid",120000,160000,[56],{"sql":59,"excel":59,"python":59,"tableau":59,"power bi":59,"snowflake":184},[61,62,250,249,224,292],"Snowflake",{"data science":66,"data analytics":66,"data governance":59,"data storytelling":66,"project management":59,"predictive modeling":66,"business intelligence":66,"stakeholder management":66},[253,295,296,136,258,297,272,298],"Data Science","Predictive Modeling","Project Management","Data Storytelling",{"id":300,"slug":301,"title":302,"raw_title":40,"is_featured":41,"company":303,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":304,"processed_country_iso_code_gmaps":306,"processed_home_office":50,"processed_salary_min":288,"processed_salary_max":307,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":308,"processed_employment_types":57,"processed_it_skills":309,"processed_it_skills_labels":310,"processed_job_expertise_skills":321,"processed_job_expertise_skills_labels":322,"max_cpc":100,"actual_cpc":101},52987,"staff-engineer-network-engineeringnbsp-0200-ares-operations-llc","Staff Engineer, Network Engineering",{"name":107,"slug":108,"logo_url":40},[305],"Los Angeles",[49],180000,[56],{"c#":59,"go":59,"java":59,"jira":59,"ci\u002Fcd":66,"linux":59,"github":59,"gitlab":59,"python":59,"windows":59,"terraform":66,"kubernetes":66,"microsoft azure":66,"javascript\u002Ftypescript":59,"monitoring and observability tools":59},[311,312,62,313,314,315,316,317,122,121,318,319,158,159,320],"Java","C#","JavaScript\u002FTypeScript","Go","Microsoft Azure","GitHub","GitLab","Terraform","Monitoring and observability tools","Jira",{"devops":66,"alerting":59,"observability":59,"ci\u002Fcd practices":66,"disaster recovery":59,"agile methodologies":59,"business continuity":59,"devsecops practices":59,"incident resolution":59,"platform operations":66,"platform resiliency":59,"cloud infrastructure":66,"software engineering":66,"enterprise environment":59,"full-stack development":59,"monitoring and logging":59,"compliance requirements":59,"distributed applications":59,"infrastructure automation":66,"level 3 production support":59,"financial services industry":184,"automated testing frameworks":59,"cloud security best practices":59,"software development lifecycle":59},[323,324,325,326,327,328,329,330,331,332,201,333,334,260,335,336,337,338,339,340,341,342,343,344],"Software Engineering","Cloud Infrastructure","Infrastructure Automation","CI\u002FCD Practices","Platform Operations","Level 3 Production Support","Incident Resolution","Monitoring and Logging","Alerting","Observability","Business Continuity","Platform Resiliency","DevOps","Full-stack Development","Distributed Applications","Enterprise Environment","Software Development Lifecycle","Cloud Security Best Practices","Compliance Requirements","Automated Testing Frameworks","DevSecOps Practices","Financial Services Industry",{"id":346,"slug":347,"title":348,"raw_title":40,"is_featured":41,"company":349,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":352,"processed_country_iso_code_gmaps":354,"processed_home_office":50,"processed_salary_min":355,"processed_salary_max":244,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":356,"processed_employment_types":57,"processed_it_skills":357,"processed_it_skills_labels":358,"processed_job_expertise_skills":364,"processed_job_expertise_skills_labels":365,"max_cpc":100,"actual_cpc":101},60135,"specialist-tora-oems-usa016-refinitiv-us-llc","Specialist - TORA OEMS",{"name":350,"slug":351,"logo_url":40},"Refinitiv US LLC","refinitiv-us-llc",[353],"Creve Coeur",[49],80000,[56],{"sql":59,"python":59,"networking":184,"unix\u002Flinux":59,"microsoft excel":59,"shell scripting":59,"cloud (azure, aws)":184},[359,61,62,360,361,362,363],"Unix\u002FLinux","Shell scripting","Microsoft Excel","Cloud (Azure, AWS)","Networking",{"qa":184,"bug handling":184,"fix protocol":59,"log file analysis":66,"application support":66,"incident management":66,"trade flow monitoring":66,"order management systems":59,"execution management systems":59,"financial products knowledge":59},[366,367,368,369,370,371,372,373,374,375],"Application Support","Trade Flow Monitoring","Incident Management","Log File Analysis","FIX Protocol","Financial Products Knowledge","Order Management Systems","Execution Management Systems","Bug Handling","QA",{"id":377,"slug":378,"title":379,"raw_title":40,"is_featured":41,"company":380,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":381,"processed_country_iso_code_gmaps":382,"processed_home_office":50,"processed_salary_min":383,"processed_salary_max":384,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":385,"processed_employment_types":57,"processed_it_skills":386,"processed_it_skills_labels":387,"processed_job_expertise_skills":388,"processed_job_expertise_skills_labels":389,"max_cpc":100,"actual_cpc":101},60094,"senior-market-analyst-derivatives-usa016-refinitiv-us-llc","Senior Market Analyst, Derivatives",{"name":350,"slug":351,"logo_url":40},[110],[49],113300,188800,[56],{"python":66},[62],{"valuation":66,"risk management":59,"derivatives pricing":66,"financial engineering":66,"quantitative analytics":66},[390,391,392,393,394],"Derivatives Pricing","Quantitative Analytics","Valuation","Financial Engineering","Risk Management",{"id":396,"slug":397,"title":398,"raw_title":40,"is_featured":41,"company":399,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":402,"processed_country_iso_code_gmaps":403,"processed_home_office":286,"processed_salary_min":217,"processed_salary_max":404,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":405,"processed_employment_types":57,"processed_it_skills":406,"processed_it_skills_labels":407,"processed_job_expertise_skills":419,"processed_job_expertise_skills_labels":420,"max_cpc":100,"actual_cpc":101},61419,"senior-devsecops-engineer-vice-president-mufg-bank-ltd","Senior DevSecOps Engineer, Vice President",{"name":400,"slug":401,"logo_url":40},"MUFG Bank, Ltd.","mufg-bank-ltd",[46],[49],199000,[56],{"aws":66,"sca":66,".net":59,"bash":66,"dast":66,"java":59,"jira":59,"sast":66,"sbom":66,"azure":66,"ci\u002Fcd":66,"python":66,"ansible":66,"node.js":59,"openshift":66,"terraform":66,"confluence":59,"kubernetes":66,"powershell":66,"secrets management":66},[318,408,121,409,196,118,62,311,410,411,412,187,320,413,122,414,415,416,417,418],"Ansible","OpenShift","Node.js",".NET","Bash","Confluence","SCA","SAST","DAST","SBOM","Secrets Management",{"devsecops":66,"agile methodologies":59,"compliance automation":66,"infrastructure as code":66,"secure coding practices":66,"configuration management":66,"vulnerability management":66,"cloud-native architecture":66,"advanced deployment strategies":66},[421,422,423,424,425,426,260,427,428],"DevSecOps","Infrastructure as Code","Configuration Management","Secure Coding Practices","Vulnerability Management","Compliance Automation","Cloud-Native Architecture","Advanced Deployment Strategies",{"id":430,"slug":431,"title":432,"raw_title":40,"is_featured":41,"company":433,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":436,"processed_country_iso_code_gmaps":437,"processed_home_office":50,"processed_salary_min":438,"processed_salary_max":439,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":440,"processed_employment_types":57,"processed_it_skills":441,"processed_it_skills_labels":442,"processed_job_expertise_skills":446,"processed_job_expertise_skills_labels":447,"max_cpc":100,"actual_cpc":101},59911,"senior-product-specialist-lseg","Senior Product Specialist",{"name":434,"slug":435,"logo_url":40},"LSEG","lseg",[110],[49],143800,239600,[56],{"python":66,"backtesting":66,"code optimization":59,"object-oriented programming":66},[62,443,444,445],"Object-Oriented Programming","Backtesting","Code Optimization",{"risk management":66,"business planning":59,"index construction":66,"derivatives pricing":66,"white paper writing":59,"financial markets knowledge":66,"client relationship management":59,"quantitative investment strategies":66},[448,390,394,449,450,451,452,453],"Quantitative Investment Strategies","Index Construction","Financial Markets Knowledge","White Paper Writing","Business Planning","Client Relationship Management",{"id":455,"slug":456,"title":457,"raw_title":40,"is_featured":41,"company":458,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":461,"processed_country_iso_code_gmaps":463,"processed_home_office":286,"processed_salary_min":464,"processed_salary_max":465,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":466,"processed_employment_types":57,"processed_it_skills":467,"processed_it_skills_labels":468,"processed_job_expertise_skills":483,"processed_job_expertise_skills_labels":484,"max_cpc":100,"actual_cpc":101},83650,"senior-software-engineer-qualification-delivery-release-platform-government-employees-insurance-company","Senior Software Engineer - Qualification & Delivery - Release Platform",{"name":459,"slug":460,"logo_url":40},"Government Employees Insurance Company","government-employees-insurance-company",[462],"Bethesda",[49],105000,230000,[56],{"aws":59,"dns":59,"gcp":59,".net":66,"bash":66,"rego":66,"azure":59,"react":66,"gitops":66,"golang":66,"python":66,"tcp\u002Fip":59,"jenkins":59,"kubernetes":66,"typescript":66,"azure devops":66,"github actions":66,"load balancing":59,"ingress controllers":59,"open policy agent (opa)":66},[62,469,411,470,471,121,472,473,474,475,412,476,477,478,479,480,481,118,196,482],"Golang","TypeScript","React","Azure DevOps","GitHub Actions","Jenkins","GitOps","Open Policy Agent (OPA)","Rego","TCP\u002FIP","DNS","Load Balancing","Ingress Controllers","GCP",{"auditability":66,"devops tooling":66,"policy as code":66,"ci\u002Fcd pipelines":66,"cloud networking":59,"change management":66,"security integration":66,"cloud-native services":66,"multi-cloud environments":59,"containerized deployments":66,"software delivery workflows":66,"internal developer platforms":66,"troubleshooting and debugging":66,"observability (monitoring, logging, tracing)":66,"deployment strategies (blue\u002Fgreen, canary, rolling updates)":66},[485,486,487,488,489,490,491,492,493,494,495,496,497,498,499],"Internal Developer Platforms","DevOps Tooling","CI\u002FCD Pipelines","Policy as Code","Deployment Strategies (Blue\u002FGreen, Canary, Rolling Updates)","Observability (Monitoring, Logging, Tracing)","Cloud Networking","Multi-Cloud Environments","Containerized Deployments","Cloud-Native Services","Troubleshooting and Debugging","Software Delivery Workflows","Security Integration","Change Management","Auditability",{"id":501,"slug":502,"title":503,"raw_title":40,"is_featured":41,"company":504,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":507,"processed_country_iso_code_gmaps":508,"processed_home_office":286,"processed_salary_min":509,"processed_salary_max":510,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":511,"processed_employment_types":57,"processed_it_skills":512,"processed_it_skills_labels":513,"processed_job_expertise_skills":515,"processed_job_expertise_skills_labels":516,"max_cpc":100,"actual_cpc":101},67115,"actuarial-small-business-spectrum-hartford-fire-ins-co","Actuarial Small Business Spectrum",{"name":505,"slug":506,"logo_url":40},"Hartford Fire Ins. Co","hartford-fire-ins-co",[215],[49],113200,169800,[56],{"r":59,"sas":184,"sql":59,"vba":184,"excel":66,"python":59},[61,222,62,224,514,223],"VBA",{"pricing":66,"e&s product":59,"rate making":66,"presentation":59,"data modeling":66,"trend analysis":66,"loss development":66,"actuarial science":66,"product development":59,"commercial multi-peril":66,"small business insurance":66},[517,518,519,520,521,522,523,524,525,526,527],"Actuarial Science","Pricing","Loss Development","Trend Analysis","Rate Making","Data Modeling","Product Development","Commercial Multi-Peril","Small Business Insurance","E&S Product","Presentation",{"id":529,"slug":530,"title":531,"raw_title":40,"is_featured":41,"company":532,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":535,"processed_country_iso_code_gmaps":536,"processed_home_office":286,"processed_salary_min":51,"processed_salary_max":537,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":538,"processed_employment_types":57,"processed_it_skills":539,"processed_it_skills_labels":540,"processed_job_expertise_skills":542,"processed_job_expertise_skills_labels":543,"max_cpc":100,"actual_cpc":101},72286,"full-stack-lead-engineer-credit-flow-trading-technology-vice-president-6301-db-usa-core-corporation","Full Stack Lead Engineer, Credit Flow Trading Technology - Vice President",{"name":533,"slug":534,"logo_url":40},"6301 DB USA Core Corporation","6301-db-usa-core-corporation",[110],[49],222500,[56],{"java":66,"ci\u002Fcd":59,"react":59,"devops":59,"python":66,"ai tools":59,"kubernetes":66},[311,62,471,121,122,335,541],"AI Tools",{"software design":66,"trade execution":66,"order management":66,"trade processing":66,"automated testing":59,"credit derivatives":66,"project management":59,"distributed systems":59,"derivatives products":66,"operational resilience":59,"interest rate derivatives":66,"high-availability environments":59},[544,545,546,547,548,549,550,551,552,553,554,297],"Derivatives Products","Credit Derivatives","Interest Rate Derivatives","Order Management","Trade Execution","Trade Processing","Software Design","Automated Testing","Operational Resilience","Distributed Systems","High-Availability Environments",{"id":556,"slug":557,"title":558,"raw_title":40,"is_featured":41,"company":559,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":562,"processed_country_iso_code_gmaps":563,"processed_home_office":286,"processed_salary_min":564,"processed_salary_max":565,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":566,"processed_employment_types":57,"processed_it_skills":567,"processed_it_skills_labels":568,"processed_job_expertise_skills":570,"processed_job_expertise_skills_labels":571,"max_cpc":100,"actual_cpc":101},61509,"vice-president-rates-desk-quant-mufg-securities-americas-inc","Vice President, Rates Desk Quant",{"name":560,"slug":561,"logo_url":40},"MUFG Securities Americas Inc.","mufg-securities-americas-inc",[110],[49],200000,220000,[56],{"c#":59,"c++":59,"python":66,"excel\u002Fvba":66},[63,62,312,569],"C++",{"risk analysis":66,"pricing models":66,"interest rate derivatives":66,"financial markets knowledge":66},[572,573,574,575],"Interest rate derivatives","Pricing models","Risk analysis","Financial markets knowledge",{"id":577,"slug":578,"title":579,"raw_title":40,"is_featured":41,"company":580,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":581,"processed_country_iso_code_gmaps":582,"processed_home_office":286,"processed_salary_min":583,"processed_salary_max":584,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":585,"processed_employment_types":57,"processed_it_skills":586,"processed_it_skills_labels":587,"processed_job_expertise_skills":609,"processed_job_expertise_skills_labels":610,"max_cpc":100,"actual_cpc":101},83646,"senior-manager-staff-software-engineering-government-employees-insurance-company","Senior Manager, Staff Software Engineering",{"name":459,"slug":460,"logo_url":40},[462],[49],150000,300000,[56],{"c#":59,"api":66,"c++":59,"etl":66,"sql":66,"grpc":66,"java":66,"saas":66,"kafka":66,"mysql":59,"nosql":59,"python":66,"graphql":66,"cassandra":59,"cosmos db":59,"postgresql":59,"apache trino":59,"data modeling":66,"microservices":66,"system design":66,"temporal databases":66,"cloud infrastructure":66,"full-stack development":66,"object-oriented design":66,"bitemporal data modeling":66,"event-driven architecture":66},[311,62,312,569,588,589,590,591,61,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608],"GraphQL","gRPC","Kafka","ETL","MySQL","PostgreSQL","NoSQL","Cassandra","Cosmos DB","Apache Trino","Microservices","API","Event-driven architecture","Cloud infrastructure","System design","Data modeling","Bitemporal data modeling","Temporal databases","Full-stack development","SaaS","Object-oriented design",{"devops":66,"usability":66,"dual-write":66,"scalability":66,"shadow mode":66,"traceability":66,"observability":66,"system design":66,"risk management":66,"data architecture":66,"quality assurance":66,"project management":66,"testing strategies":66,"agile methodologies":66,"architecture design":66,"migration strategies":66,"capacity benchmarking":66,"stakeholder management":66,"deconversion strategies":66,"performance improvement":66,"reliability engineering":66,"technical roadmap development":66,"software engineering management":66,"legacy-to-modern platform transitions":66},[611,612,138,613,614,615,616,617,618,297,394,272,260,335,619,620,621,332,622,623,624,625,626,627],"Software Engineering Management","Technical Roadmap Development","System Design","Capacity Benchmarking","Performance Improvement","Reliability Engineering","Legacy-to-Modern Platform Transitions","Data Architecture","Quality Assurance","Usability","Scalability","Traceability","Testing Strategies","Migration Strategies","Deconversion Strategies","Shadow Mode","Dual-Write",{"id":629,"slug":630,"title":631,"raw_title":40,"is_featured":41,"company":632,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":636,"processed_country_iso_code_gmaps":637,"processed_home_office":50,"processed_salary_min":638,"processed_salary_max":639,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":640,"processed_employment_types":57,"processed_it_skills":641,"processed_it_skills_labels":642,"processed_job_expertise_skills":647,"processed_job_expertise_skills_labels":648,"max_cpc":100,"actual_cpc":101},64026,"cib-xva-vice-president-banco-santander-sa-2445","CIB XVA, Vice President",{"name":633,"slug":634,"logo_url":635},"Banco Santander, S.A.","banco-santander-sa-2445","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[110],[49],190000,240000,[56],{"murex":59,"python":184,"ms excel":66,"bloomberg":59,"sigma\u002Fwindfall":59},[643,644,645,646,62],"Murex","Sigma\u002FWindfall","Bloomberg","MS Excel",{"hedging":66,"market risk":66,"structuring":66,"xva pricing":66,"risk management":66,"financial analysis":66,"derivatives trading":66,"portfolio optimization":66,"cross-asset derivatives":66,"counterparty credit risk":66},[649,394,650,651,652,653,654,655,656,233],"XVA Pricing","Derivatives Trading","Structuring","Counterparty Credit Risk","Market Risk","Hedging","Portfolio Optimization","Cross-Asset Derivatives",{"id":658,"slug":659,"title":660,"raw_title":40,"is_featured":41,"company":661,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":662,"processed_country_iso_code_gmaps":663,"processed_home_office":50,"processed_salary_min":664,"processed_salary_max":665,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":666,"processed_employment_types":57,"processed_it_skills":667,"processed_it_skills_labels":668,"processed_job_expertise_skills":678,"processed_job_expertise_skills_labels":679,"max_cpc":100,"actual_cpc":101},60125,"senior-c-software-engineer-usa016-refinitiv-us-llc","Senior C++ Software Engineer",{"name":350,"slug":351,"logo_url":40},[353],[49],90000,130000,[56],{"c++":66,"linux":59,"python":59,"node.js":184,"javascript":184,"oracle\u002Fsql":59,"powershell":184,"design patterns":66,"automated testing":59,"agile methodologies":59,"unix shell scripting":59,"real-time programming":59,"debugging multi-threaded applications":66},[569,158,669,670,671,62,672,673,674,410,675,676,677],"Agile methodologies","Automated testing","Oracle\u002FSQL","Unix shell scripting","Powershell","JavaScript","Real-time programming","Debugging multi-threaded applications","Design patterns",{"code review":59,"software design":66,"performance tuning":66,"low latency systems":59,"object-oriented design":66,"test-driven development":59,"financial markets knowledge":59},[608,680,681,682,683,575,684],"Software design","Test-driven development","Performance tuning","Code review","Low latency systems",{"id":686,"slug":687,"title":688,"raw_title":40,"is_featured":41,"company":689,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":692,"processed_country_iso_code_gmaps":693,"processed_home_office":50,"processed_salary_min":583,"processed_salary_max":564,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":694,"processed_employment_types":57,"processed_it_skills":695,"processed_it_skills_labels":696,"processed_job_expertise_skills":698,"processed_job_expertise_skills_labels":699,"max_cpc":100,"actual_cpc":101},60410,"equity-research-associate-fintech-amp-payments-new-york-16-ms-amp-co-llc","Equity Research – Associate, Fintech & Payments (New York)",{"name":690,"slug":691,"logo_url":40},"MS & Co., LLC","ms-co-llc",[110],[49],[56],{"excel":66,"python":184,"powerpoint":66},[224,697,62],"PowerPoint",{"cfa":184,"finance":66,"economics":59,"accounting":59,"report writing":66,"equity research":66,"industry analysis":66,"financial modeling":66,"investment banking":59},[700,701,702,703,704,705,706,707,708],"Financial Modeling","Equity Research","Investment Banking","Industry Analysis","Report Writing","Accounting","Finance","Economics","CFA",{"total":710,"jobs":711},0,[],{"industry":713,"employment_type":794,"expertise_skills":809,"it_skills":882,"salary_currency":954,"processed_working_hours":962},[714,718,722,726,730,734,738,742,746,749,753,756,759,762,765,768,771,774,777,780,783,786,789,792],{"key":715,"label":716,"count":717},"financial services","Financial Services",253,{"key":719,"label":720,"count":721},"insurance","Insurance",209,{"key":723,"label":724,"count":725},"banking","Banking",102,{"key":727,"label":728,"count":729},"financial markets infrastructure","Financial Markets Infrastructure",43,{"key":731,"label":732,"count":733},"asset management","Asset Management",37,{"key":735,"label":736,"count":737},"data","Data",28,{"key":739,"label":740,"count":741},"data provider","Data Provider",15,{"key":743,"label":744,"count":745},"property","Property",12,{"key":747,"label":748,"count":745},"casualty insurance","Casualty Insurance",{"key":750,"label":751,"count":752},"alternative investments","Alternative Investments",9,{"key":754,"label":394,"count":755},"risk management",6,{"key":757,"label":758,"count":66},"reinsurance","Reinsurance",{"key":760,"label":761,"count":59},"financial markets data","Financial Markets Data",{"key":763,"label":764,"count":59},"infrastructure","Infrastructure",{"key":766,"label":767,"count":59},"credit union","Credit Union",{"key":769,"label":770,"count":184},"alternative asset management","Alternative Asset Management",{"key":772,"label":773,"count":184},"financial technology","Financial Technology",{"key":775,"label":776,"count":100},"financial regulation","Financial Regulation",{"key":778,"label":779,"count":100},"digital banking","Digital Banking",{"key":781,"label":782,"count":100},"financial market infrastructure","Financial Market Infrastructure",{"key":784,"label":785,"count":100},"data services","Data Services",{"key":787,"label":788,"count":100},"claims administration","Claims Administration",{"key":790,"label":791,"count":100},"employee benefits brokerage","Employee Benefits Brokerage",{"key":793,"label":702,"count":100},"investment banking",[795,798,802,806],{"key":57,"label":796,"count":797},"PERMANENT",552,{"key":799,"label":800,"count":801},"student","STUDENT",41,{"key":803,"label":804,"count":805},"temporary","TEMPORARY",13,{"key":807,"label":808,"count":100},"contract","CONTRACT",[810,814,817,821,824,827,830,834,838,840,842,845,849,851,853,857,861,864,867,869,872,875,878,880],{"key":811,"label":812,"slug":811,"count":813},"data-analysis","Data Analysis",118,{"key":815,"label":394,"slug":815,"count":816},"risk-management",92,{"key":818,"label":819,"slug":818,"count":820},"project-management","Project management",87,{"key":822,"label":230,"slug":822,"count":823},"regulatory-compliance",79,{"key":825,"label":136,"slug":825,"count":826},"data-governance",72,{"key":828,"label":203,"slug":828,"count":829},"automation",50,{"key":831,"label":832,"slug":831,"count":833},"root-cause-analysis","Root Cause Analysis",48,{"key":835,"label":836,"slug":835,"count":837},"data-engineering","Data Engineering",47,{"key":839,"label":130,"slug":839,"count":729},"machine-learning",{"key":841,"label":323,"slug":841,"count":801},"software-engineering",{"key":843,"label":260,"slug":843,"count":844},"agile-methodologies",40,{"key":846,"label":847,"slug":846,"count":848},"incident-response","Incident Response",35,{"key":850,"label":332,"slug":850,"count":848},"observability",{"key":852,"label":137,"slug":852,"count":848},"compliance",{"key":854,"label":855,"slug":854,"count":856},"software-development","Software Development",34,{"key":858,"label":859,"slug":858,"count":860},"data-visualization","Data Visualization",33,{"key":862,"label":259,"slug":862,"count":863},"process-improvement",32,{"key":865,"label":866,"slug":865,"count":863},"portfolio-management","Portfolio Management",{"key":868,"label":522,"slug":868,"count":863},"data-modeling",{"key":870,"label":700,"slug":870,"count":871},"financial-modeling",31,{"key":873,"label":874,"slug":873,"count":871},"vendor-management","Vendor Management",{"key":876,"label":368,"slug":876,"count":877},"incident-management",29,{"key":879,"label":613,"slug":879,"count":737},"system-design",{"key":881,"label":553,"slug":881,"count":737},"distributed-systems",[883,885,888,892,895,898,902,906,909,912,916,919,921,924,928,931,934,936,940,941,945,947,950,952],{"key":884,"label":62,"slug":884,"count":34},"python",{"key":886,"label":61,"slug":886,"count":887},"sql",322,{"key":889,"label":890,"slug":889,"count":891},"aws","Aws",169,{"key":893,"label":646,"slug":893,"count":894},"ms-excel",137,{"key":896,"label":311,"slug":896,"count":897},"java",134,{"key":899,"label":900,"slug":899,"count":901},"ms-azure","MS Azure",133,{"key":903,"label":904,"slug":903,"count":905},"cicd","Ci\u002FCd",111,{"key":907,"label":121,"slug":907,"count":908},"kubernetes",108,{"key":910,"label":222,"slug":910,"count":911},"r",106,{"key":913,"label":914,"slug":913,"count":915},"ms-powerbi","MS PowerBI",94,{"key":917,"label":120,"slug":917,"count":918},"docker",77,{"key":920,"label":673,"slug":920,"count":918},"powershell",{"key":922,"label":318,"slug":922,"count":923},"terraform",70,{"key":925,"label":926,"slug":925,"count":927},"git","Git",63,{"key":929,"label":312,"slug":929,"count":930},"c",62,{"key":932,"label":292,"slug":932,"count":933},"snowflake",55,{"key":935,"label":250,"slug":935,"count":933},"tableau",{"key":937,"label":938,"slug":937,"count":939},"gcp","Gcp",51,{"key":929,"label":569,"slug":929,"count":833},{"key":942,"label":943,"slug":942,"count":944},"sas","Sas",46,{"key":946,"label":117,"slug":946,"count":729},"databricks",{"key":948,"label":949,"slug":948,"count":729},"javascript","Javascript",{"key":951,"label":590,"slug":951,"count":801},"kafka",{"key":953,"label":412,"slug":953,"count":801},"bash",[955,957,960],{"key":53,"label":53,"count":956},603,{"key":958,"label":958,"count":959},"GBP",5,{"key":961,"label":961,"count":184},"MYR",[963,965],{"key":56,"label":56,"count":964},605,{"key":966,"label":966,"count":959},"PART_TIME"]