[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-us":3,"job-search-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=25":33,"featured-jobs-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=25":701,"skill-page-filters-\u002Fen-us\u002Fjobs-by-skill\u002Fpython?page=25":703},{"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,[36,95,129,185,226,257,292,325,357,381,408,439,466,483,505,532,556,593,614,664],{"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":81,"processed_job_expertise_skills_labels":82,"max_cpc":93,"actual_cpc":94},58529,"sql-server-dba-merastar-insurance-company","SQL Server DBA",null,false,{"name":43,"slug":44,"logo_url":40},"Merastar Insurance Company","merastar-insurance-company",[46],"Chicago",[48],"US","onsite",111000,186700,"USD","estimated",[55],"FULL_TIME","permanent",{"s3":58,"python":58,"aws iam":58,"aws kms":58,"route 53":58,"terraform":58,"amazon ebs":58,"amazon ec2":58,"amazon rds":58,"amazon vpc":58,"aws backup":58,"powershell":58,"appdynamics":58,"solarwinds dpa":58,"amazon cloudwatch":58,"aws cloudformation":58,"sql server profiler":58,"microsoft sql server":59,"elastic load balancing":58,"sql server extended events":58},3,4,[61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80],"Microsoft SQL Server","PowerShell","Python","Terraform","AWS CloudFormation","Amazon EC2","Amazon RDS","Amazon VPC","Amazon EBS","AWS IAM","AWS KMS","Amazon CloudWatch","AWS Backup","Route 53","S3","Elastic Load Balancing","SolarWinds DPA","AppDynamics","SQL Server Extended Events","SQL Server Profiler",{"automation":59,"data modeling":58,"schema design":58,"cloud migration":59,"database security":59,"performance tuning":59,"incident management":59,"root cause analysis":59,"database administration":59,"high availability and disaster recovery":59},[83,84,85,86,87,88,89,90,91,92],"Database Administration","Performance Tuning","High Availability and Disaster Recovery","Database Security","Cloud Migration","Automation","Incident Management","Root Cause Analysis","Data Modeling","Schema Design",1,1.5,{"id":96,"slug":97,"title":98,"raw_title":40,"is_featured":41,"company":99,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":102,"processed_country_iso_code_gmaps":104,"processed_home_office":105,"processed_salary_min":106,"processed_salary_max":107,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":108,"processed_employment_types":56,"processed_it_skills":109,"processed_it_skills_labels":111,"processed_job_expertise_skills":121,"processed_job_expertise_skills_labels":122,"max_cpc":93,"actual_cpc":94},49562,"site-reliability-engineer-web-applications-avp-mufg-bank-ltd","Site Reliability Engineer - Web Applications, AVP",{"name":100,"slug":101,"logo_url":40},"MUFG Bank, Ltd.","mufg-bank-ltd",[103],"Tampa",[48],"hybrid",112000,137000,[55],{"aws":59,"ecs":110,"eks":110,"bash":58,"ci\u002Fcd":59,"lambda":110,"python":58,"dynatrace":110,"openshift":110,"terraform":59,"cloudwatch":58},2,[112,64,63,113,114,115,116,117,118,119,120],"AWS","Bash","CI\u002FCD","CloudWatch","Dynatrace","Openshift","ECS","EKS","Lambda",{"security":59,"networking":59,"on-call support":58,"incident response":59,"site reliability engineering":59,"web application infrastructure":59},[123,124,125,126,127,128],"Site Reliability Engineering","Web Application Infrastructure","Networking","Security","Incident Response","On-call Support",{"id":130,"slug":131,"title":132,"raw_title":40,"is_featured":41,"company":133,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":134,"processed_country_iso_code_gmaps":136,"processed_home_office":105,"processed_salary_min":137,"processed_salary_max":138,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":139,"processed_employment_types":56,"processed_it_skills":140,"processed_it_skills_labels":141,"processed_job_expertise_skills":166,"processed_job_expertise_skills_labels":167,"max_cpc":93,"actual_cpc":94},49186,"sr-database-engineer-amp-developer-security-data-mufg-bank-ltd","Sr. Database Engineer & Developer, Security Data",{"name":100,"slug":101,"logo_url":40},[135],"Jersey City",[48],140000,203000,[55],{"sql":59,"java":58,"cribl":58,"kafka":58,"scala":58,"aws s3":58,"python":59,"splunk":58,"datadog":58,"elastic":58,"kinesis":58,"mongodb":58,"powerbi":58,"tableau":58,"bigquery":58,"dynamodb":58,"redshift":58,"snowflake":59,"databricks":58,"javascript":58,"postgresql":58,"cloud watch":58,"azure synapse":58,"aws cloudtrail":58,"azure event hub":58},[142,63,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165],"SQL","Snowflake","PowerBI","Tableau","Java","Scala","JavaScript","Splunk","Cribl","Elastic","Datadog","AWS CloudTrail","Cloud Watch","Azure Event Hub","AWS S3","Kafka","Kinesis","Databricks","BigQuery","Redshift","Azure Synapse","MongoDB","DynamoDB","PostgreSQL",{"ocsf":58,"otel":58,"compliance":58,"data privacy":58,"data modeling":59,"threat hunting":59,"data governance":59,"data engineering":59,"machine learning":58,"etl\u002Felt pipelines":59,"vendor management":58,"data normalization":59,"project management":58,"security frameworks":58,"detection engineering":59,"mitre attack framework":58,"security data analysis":59,"artificial intelligence":58},[168,91,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184],"Data Engineering","Data Normalization","ETL\u002FELT Pipelines","Data Governance","Security Data Analysis","Threat Hunting","Detection Engineering","Vendor Management","Project Management","Artificial Intelligence","Machine Learning","Data Privacy","Compliance","Security Frameworks","MITRE Attack Framework","OCSF","OTEL",{"id":186,"slug":187,"title":188,"raw_title":40,"is_featured":41,"company":189,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":192,"processed_country_iso_code_gmaps":194,"processed_home_office":49,"processed_salary_min":195,"processed_salary_max":196,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":197,"processed_employment_types":56,"processed_it_skills":198,"processed_it_skills_labels":199,"processed_job_expertise_skills":214,"processed_job_expertise_skills_labels":215,"max_cpc":93,"actual_cpc":94},68447,"principal-security-platform-engineer-western-alliance-bank","Principal Security Platform Engineer",{"name":190,"slug":191,"logo_url":40},"Western Alliance Bank","western-alliance-bank",[193],"Phoenix",[48],150000,200000,[55],{"aws":58,"iam":58,"apis":58,"cmdb":110,"rest":58,"siem":58,"soar":58,"azure":58,"entra":58,"python":58,"workday":110,"webhooks":58,"sailpoint":58,"powershell":58,"salesforce":110,"servicenow":58,"microsoft 365":58},[63,62,200,201,202,112,203,204,205,206,207,208,209,210,211,212,213],"APIs","REST","Webhooks","Azure","Entra","Microsoft 365","Workday","Salesforce","ServiceNow","SIEM","SOAR","SailPoint","IAM","CMDB",{"runbooks\u002Fsops":58,"saas security":59,"cloud security":59,"risk frameworks":59,"incident response":58,"vendor management":58,"architecture design":59,"executive reporting":59,"regulatory compliance":59,"attack surface management":59,"vulnerability remediation":58,"security posture management":59},[216,217,218,219,220,221,222,223,175,127,224,225],"Cloud Security","SaaS Security","Security Posture Management","Attack Surface Management","Vulnerability Remediation","Regulatory Compliance","Risk Frameworks","Architecture Design","Runbooks\u002FSOPs","Executive Reporting",{"id":227,"slug":228,"title":229,"raw_title":40,"is_featured":41,"company":230,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":233,"processed_country_iso_code_gmaps":235,"processed_home_office":236,"processed_salary_min":237,"processed_salary_max":238,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":239,"processed_employment_types":56,"processed_it_skills":240,"processed_it_skills_labels":241,"processed_job_expertise_skills":247,"processed_job_expertise_skills_labels":248,"max_cpc":93,"actual_cpc":94},52859,"vp-implementation-engineer-remote-est-hours-10200-arch-capital-services-llc","VP, Implementation Engineer (Remote - EST Hours)",{"name":231,"slug":232,"logo_url":40},"Arch Capital Services LLC","arch-capital-services-llc",[234],"Raleigh",[48],"remote",180000,270000,[55],{"aws":58,"llm":59,"rag":59,"sql":58,"ai\u002Fml":59,"azure":58,"ci\u002Fcd":59,"python":59,"microservices":59,"observability":59},[242,203,112,114,243,244,245,246,63,142],"AI\u002FML","Observability","Microservices","RAG","LLM",{"sdlc":59,"claims":58,"underwriting":58,"p&c insurance":58,"cost governance":59,"people management":59,"productionization":59,"ai\u002Fml system design":59},[249,250,251,252,253,254,255,256],"AI\u002FML System Design","Productionization","SDLC","Cost Governance","P&C Insurance","Underwriting","Claims","People Management",{"id":258,"slug":259,"title":260,"raw_title":40,"is_featured":41,"company":261,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":264,"processed_country_iso_code_gmaps":266,"processed_home_office":49,"processed_salary_min":267,"processed_salary_max":268,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":269,"processed_employment_types":56,"processed_it_skills":270,"processed_it_skills_labels":271,"processed_job_expertise_skills":282,"processed_job_expertise_skills_labels":283,"max_cpc":93,"actual_cpc":94},60041,"site-reliability-engineer-usa016-refinitiv-us-llc","Site Reliability Engineer",{"name":262,"slug":263,"logo_url":40},"Refinitiv US LLC","refinitiv-us-llc",[265],"St. Louis",[48],90000,130000,[55],{"git":58,"shell":58,"docker":58,"python":58,"datadog":58,"terraform":58,"kubernetes":58,"azure monitor":58,"aws cloudwatch":58,"azure equivalents":110,"aws cloudformation":110,"azure arm templates":110,"aws (ec2, s3, rds, iam, vpc, lambda)":58,"ci\u002Fcd pipelines (aws codepipeline, azure devops)":58},[272,63,64,65,273,274,275,276,277,152,278,279,280,281],"Shell","Azure ARM templates","AWS (EC2, S3, RDS, IAM, VPC, Lambda)","Azure equivalents","Docker","Kubernetes","AWS CloudWatch","Azure Monitor","CI\u002FCD pipelines (AWS CodePipeline, Azure DevOps)","Git",{"observability":59,"cloud migration":58,"devops concepts":58,"incident response":59,"root cause analysis":59,"architectural reviews":58,"azure architecture center":58,"operational readiness testing":58,"aws well-architected framework":58,"service level objectives (slos)":59,"cloud security (iam, kms, secrets manager)":58,"cloud-native databases (aws rds\u002Fdynamodb, azure sql)":110},[284,127,90,87,285,286,243,287,288,289,290,291],"Service Level Objectives (SLOs)","Architectural Reviews","Operational Readiness Testing","AWS Well-Architected Framework","Azure Architecture Center","Cloud Security (IAM, KMS, Secrets Manager)","Cloud-native Databases (AWS RDS\u002FDynamoDB, Azure SQL)","DevOps Concepts",{"id":293,"slug":294,"title":295,"raw_title":40,"is_featured":41,"company":296,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":299,"processed_country_iso_code_gmaps":301,"processed_home_office":49,"processed_salary_min":302,"processed_salary_max":303,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":304,"processed_employment_types":56,"processed_it_skills":305,"processed_it_skills_labels":306,"processed_job_expertise_skills":311,"processed_job_expertise_skills_labels":312,"max_cpc":93,"actual_cpc":94},53105,"associate-strategic-partnerships-0200-ares-operations-llc","Associate, Strategic Partnerships",{"name":297,"slug":298,"logo_url":40},"Ares Operations LLC","ares-operations-llc",[300],"New York",[48],120000,135000,[55],{"python":110,"power bi":110,"salesforce":58,"microsoft word":58,"microsoft excel":59,"microsoft powerpoint":58},[307,308,309,207,310,63],"Microsoft Excel","Microsoft PowerPoint","Microsoft Word","Power BI",{"data analysis":59,"fund accounting":58,"client reporting":59,"financial analysis":59,"financial modeling":58,"investor relations":59,"pipeline management":58,"business development":58,"portfolio management":58,"quantitative analysis":58,"regulatory compliance":110,"relationship management":59,"alternative asset management":58},[313,314,315,316,317,318,319,320,321,322,323,324,221],"Client Reporting","Investor Relations","Data Analysis","Financial Analysis","Portfolio Management","Fund Accounting","Alternative Asset Management","Business Development","Relationship Management","Pipeline Management","Quantitative Analysis","Financial Modeling",{"id":326,"slug":327,"title":328,"raw_title":40,"is_featured":41,"company":329,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":330,"processed_country_iso_code_gmaps":331,"processed_home_office":105,"processed_salary_min":138,"processed_salary_max":332,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":333,"processed_employment_types":56,"processed_it_skills":334,"processed_it_skills_labels":335,"processed_job_expertise_skills":341,"processed_job_expertise_skills_labels":342,"max_cpc":93,"actual_cpc":94},49168,"global-director-of-autonomous-incident-response-and-forensic-analysis-mufg-bank-ltd","Global Director of Autonomous Incident Response and Forensic Analysis",{"name":100,"slug":101,"logo_url":40},[135],[48],249000,[55],{"7ai":58,"elk":58,"sql":58,"torq":58,"python":58,"splunk":58,"tanium":58,"snowflake":58,"crowdstrike":58},[63,142,149,336,337,143,338,339,340],"CrowdStrike","Tanium","ELK","Torq","7AI",{"mitre att&ck":59,"cloud security":59,"budget planning":59,"risk management":59,"cyber kill chain":59,"incident command":59,"network security":59,"ai\u002Fml in security":59,"digital forensics":59,"incident response":59,"vendor management":59,"forensic readiness":59,"tabletop exercises":59,"threat intelligence":59,"regulatory compliance":59,"cybersecurity operations":59,"endpoint detection and response":59,"security frameworks (iso 27001, nist, ffiec, soc2, fedramp, star)":59},[127,343,344,345,175,346,221,347,348,349,350,351,352,216,353,354,355,356],"Digital Forensics","Cybersecurity Operations","Budget Planning","Risk Management","Threat Intelligence","Security Frameworks (ISO 27001, NIST, FFIEC, SOC2, FedRAMP, STAR)","MITRE ATT&CK","Cyber Kill Chain","Endpoint Detection and Response","Network Security","Forensic Readiness","Incident Command","Tabletop Exercises","AI\u002FML in Security",{"id":358,"slug":359,"title":360,"raw_title":40,"is_featured":41,"company":361,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":364,"processed_country_iso_code_gmaps":365,"processed_home_office":105,"processed_salary_min":366,"processed_salary_max":367,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":368,"processed_employment_types":56,"processed_it_skills":369,"processed_it_skills_labels":370,"processed_job_expertise_skills":373,"processed_job_expertise_skills_labels":374,"max_cpc":93,"actual_cpc":94},47576,"business-analyst-investment-compliance-group-services-inc","Business Analyst, Investment Compliance",{"name":362,"slug":363,"logo_url":40},"Invesco Group Services, INC.","invesco-group-services-inc",[300],[48],75000,105000,[55],{"sql":58,"excel":58,"python":110,"ai tools":58,"power bi":58},[371,142,310,63,372],"Excel","AI tools",{"testing":58,"data analysis":58,"business analysis":58,"financial services":110,"process improvement":58,"investment compliance":110,"requirements gathering":58},[375,315,376,377,378,379,380],"Business Analysis","Process Improvement","Requirements Gathering","Testing","Investment Compliance","Financial Services",{"id":382,"slug":383,"title":384,"raw_title":40,"is_featured":41,"company":385,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":389,"processed_country_iso_code_gmaps":390,"processed_home_office":105,"processed_salary_min":391,"processed_salary_max":137,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":392,"processed_employment_types":56,"processed_it_skills":393,"processed_it_skills_labels":394,"processed_job_expertise_skills":397,"processed_job_expertise_skills_labels":398,"max_cpc":93,"actual_cpc":94},47308,"associate-financial-reporting-ing-financial-services-llc","Associate, Financial Reporting",{"name":386,"slug":387,"logo_url":388},"ING Financial Services LLC","ing-financial-services-llc","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[300],[48],110000,[55],{"sql":58,"python":58,"power bi":59,"ms office suite":59,"microsoft copilot":58},[310,142,63,395,396],"MS Office Suite","Microsoft Copilot",{"ifrs":59,"us gaap":58,"uat testing":58,"variance analysis":59,"data visualization":59,"financial reporting":59,"financial accounting":59,"process optimization":58,"regulatory reporting":59},[399,400,401,402,403,404,405,406,407],"Financial Reporting","Regulatory Reporting","Variance Analysis","Data Visualization","UAT Testing","Process Optimization","IFRS","US GAAP","Financial Accounting",{"id":409,"slug":410,"title":411,"raw_title":40,"is_featured":41,"company":412,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":415,"processed_country_iso_code_gmaps":417,"processed_home_office":105,"processed_salary_min":418,"processed_salary_max":267,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":419,"processed_employment_types":56,"processed_it_skills":420,"processed_it_skills_labels":421,"processed_job_expertise_skills":430,"processed_job_expertise_skills_labels":431,"max_cpc":93,"actual_cpc":94},52641,"math-major-software-developer-auto-owners-insurance-company","Math Major Software Developer",{"name":413,"slug":414,"logo_url":40},"Auto-Owners Insurance Company","auto-owners-insurance-company",[416],"Lansing",[48],60000,[55],{"c":110,"r":110,"c++":110,"db2":110,"sas":110,"sql":110,"tso":110,"java":110,"cobol":110,"matlab":110,"python":110},[422,423,424,142,425,426,63,427,428,429,146],"COBOL","DB2","TSO","R","SAS","MATLAB","C","C++",{"debugging":58,"code review":58,"programming":58,"consultation":58,"documentation":58,"system analysis":58,"software development":58},[432,433,434,435,436,437,438],"Software Development","Programming","System Analysis","Code Review","Documentation","Debugging","Consultation",{"id":440,"slug":441,"title":442,"raw_title":40,"is_featured":41,"company":443,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":446,"processed_country_iso_code_gmaps":447,"processed_home_office":105,"processed_salary_min":137,"processed_salary_max":448,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":449,"processed_employment_types":56,"processed_it_skills":450,"processed_it_skills_labels":451,"processed_job_expertise_skills":455,"processed_job_expertise_skills_labels":456,"max_cpc":93,"actual_cpc":94},49432,"associate-systematic-credit-research-quant-mufg-securities-americas-inc","Associate, Systematic Credit Research Quant",{"name":444,"slug":445,"logo_url":40},"MUFG Securities Americas Inc.","mufg-securities-americas-inc",[300],[48],171000,[55],{"python":59,"machine learning":59,"numerical methods":58,"statistical modeling":59,"optimization algorithms":58},[63,178,452,453,454],"Statistical Modeling","Numerical Methods","Optimization Algorithms",{"bonds":58,"trading algorithms":59,"stochastic calculus":59,"structured products":58,"credit default swaps":58,"credit risk modeling":59,"optimization methods":59,"time series analysis":59,"relative value strategies":59},[457,458,459,460,461,462,463,464,465],"Credit Risk Modeling","Trading Algorithms","Relative Value Strategies","Credit Default Swaps","Bonds","Structured Products","Stochastic Calculus","Time Series Analysis","Optimization Methods",{"id":467,"slug":468,"title":469,"raw_title":40,"is_featured":41,"company":470,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":473,"processed_country_iso_code_gmaps":475,"processed_home_office":49,"processed_salary_min":302,"processed_salary_max":303,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":476,"processed_employment_types":56,"processed_it_skills":477,"processed_it_skills_labels":478,"processed_job_expertise_skills":479,"processed_job_expertise_skills_labels":480,"max_cpc":93,"actual_cpc":94},63337,"associate-actuary-privilege-underwriters-inc","Associate Actuary",{"name":471,"slug":472,"logo_url":40},"Privilege Underwriters, Inc.","privilege-underwriters-inc",[474],"Boston",[48],[55],{"r":58,"sas":58,"sql":58,"python":58},[426,142,425,63],{"ratemaking":59,"data analysis":59,"actuarial pricing":59,"statistical modeling":59,"regulatory compliance":58},[481,482,315,452,221],"Actuarial Pricing","Ratemaking",{"id":484,"slug":485,"title":486,"raw_title":40,"is_featured":41,"company":487,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":491,"processed_country_iso_code_gmaps":493,"processed_home_office":49,"processed_salary_min":494,"processed_salary_max":495,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":496,"processed_employment_types":56,"processed_it_skills":497,"processed_it_skills_labels":498,"processed_job_expertise_skills":499,"processed_job_expertise_skills_labels":500,"max_cpc":93,"actual_cpc":94},49660,"data-associate-transaction-management-investment-mgt-co-llc","Data Associate, Transaction Management",{"name":488,"slug":489,"logo_url":490},"Pacific Investment Mgt Co. LLC","pacific-investment-mgt-co-llc","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002F4\u002F49\u002FPIMCO_Logo.svg\u002F330px-PIMCO_Logo.svg.png",[492],"Newport Beach",[48],87000,93000,[55],{"sql":58,"excel":58,"python":58},[63,142,371],{"uat testing":58,"data analysis":59,"reconciliation":59,"root cause analysis":59,"controls development":59,"migration certification":58,"trade lifecycle management":59},[501,315,502,90,503,403,504],"Reconciliation","Trade Lifecycle Management","Controls Development","Migration Certification",{"id":506,"slug":507,"title":508,"raw_title":40,"is_featured":41,"company":509,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":510,"processed_country_iso_code_gmaps":511,"processed_home_office":105,"processed_salary_min":512,"processed_salary_max":137,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":513,"processed_employment_types":56,"processed_it_skills":514,"processed_it_skills_labels":515,"processed_job_expertise_skills":520,"processed_job_expertise_skills_labels":521,"max_cpc":93,"actual_cpc":94},60128,"senior-net-engineer-real-time-product-engineering-usa016-refinitiv-us-llc","Senior .Net Engineer - Real Time Product Engineering",{"name":262,"slug":263,"logo_url":40},[265],[48],100000,[55],{"c#":59,"aws":58,"c++":59,"git":59,"sql":59,"perl":58,"azure":58,"docker":58,"python":58,"copilot":58,"ai tools":58,"kubernetes":58,"google cloud":58},[516,429,281,142,63,517,112,203,518,276,277,372,519],"C#","Perl","Google Cloud","Copilot",{"agile":59,"scrum":59,"devops":59,"algorithms":59,"data structures":59,"design patterns":59,"version control":59,"automated testing":58,"prompt engineering":58,"database management":59,"software development":59},[432,522,523,524,525,526,527,528,529,530,531],"Agile","Scrum","DevOps","Data Structures","Algorithms","Design Patterns","Version Control","Database Management","Automated Testing","Prompt Engineering",{"id":533,"slug":534,"title":535,"raw_title":40,"is_featured":41,"company":536,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":539,"processed_country_iso_code_gmaps":541,"processed_home_office":49,"processed_salary_min":542,"processed_salary_max":542,"processed_salary_currency":543,"processed_salary_source":53,"processed_working_hours":544,"processed_employment_types":545,"processed_it_skills":546,"processed_it_skills_labels":547,"processed_job_expertise_skills":548,"processed_job_expertise_skills_labels":549,"max_cpc":93,"actual_cpc":94},63654,"risk-intern-ytl-digital-bank-berhad-registration-no-202201037182-1482879-p-2","Risk Intern",{"name":537,"slug":538,"logo_url":40},"YTL Digital Bank Berhad (Registration No. 202201037182 (1482879-P))","ytl-digital-bank-berhad-registration-no-202201037182-1482879-p",[540],"Cerritos",[48],0,"MYR",[55],"student",{"r":58,"sql":110,"python":58},[63,425,142],{"research":58,"data analysis":58,"process review":58,"risk management":58,"model development":58,"scenario analysis":58,"structured writing":58,"root cause analysis":58,"incident investigation":58},[346,315,550,551,90,552,553,554,555],"Model Development","Scenario Analysis","Process Review","Incident Investigation","Research","Structured Writing",{"id":557,"slug":558,"title":559,"raw_title":40,"is_featured":41,"company":560,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":563,"processed_country_iso_code_gmaps":565,"processed_home_office":105,"processed_salary_min":512,"processed_salary_max":566,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":567,"processed_employment_types":56,"processed_it_skills":568,"processed_it_skills_labels":569,"processed_job_expertise_skills":580,"processed_job_expertise_skills_labels":581,"max_cpc":93,"actual_cpc":94},83640,"senior-engineer-government-employees-insurance-company","Senior Engineer",{"name":561,"slug":562,"logo_url":40},"Government Employees Insurance Company","government-employees-insurance-company",[564],"Bethesda",[48],215000,[55],{"c#":58,"aws":58,"gcp":58,"sql":59,"chef":58,"helm":58,"java":58,"azure":59,"ci\u002Fcd":59,"linux":58,"nosql":58,"titan":110,"docker":59,"github":58,"python":59,"splunk":58,"ansible":58,"terraform":59,"kubernetes":59,"powershell":59,"app insights":58,"azure devops":59},[63,516,142,570,276,277,203,112,571,572,114,64,573,574,575,576,62,577,149,578,579,146],"NoSQL","GCP","Linux","Helm","GitHub","Chef","Ansible","Azure DevOps","App Insights","Titan",{"devops":59,"automation":59,"it automation":59,"cloud architecture":59,"system engineering":59,"continuous delivery":59,"resiliency patterns":59,"infrastructure as code":59,"architecture and design":59,"container orchestration":59,"source control management":58,"monitoring and observability":59,"software development lifecycle":59},[524,582,583,584,585,586,587,588,88,589,590,591,592],"System Engineering","Software Development Lifecycle","Architecture and Design","Infrastructure as Code","Container Orchestration","Cloud Architecture","Monitoring and Observability","Resiliency Patterns","Continuous Delivery","Source Control Management","IT Automation",{"id":594,"slug":595,"title":596,"raw_title":40,"is_featured":41,"company":597,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":600,"processed_country_iso_code_gmaps":602,"processed_home_office":105,"processed_salary_min":603,"processed_salary_max":604,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":605,"processed_employment_types":56,"processed_it_skills":606,"processed_it_skills_labels":607,"processed_job_expertise_skills":608,"processed_job_expertise_skills_labels":609,"max_cpc":93,"actual_cpc":94},49732,"director-actuary-group-disability-prudential-ins-co-of-america","Director, Actuary Group Disability",{"name":598,"slug":599,"logo_url":40},"Prudential Ins Co of America","prudential-ins-co-of-america",[601],"Newark",[48],158800,238200,[55],{"r":58,"sql":58,"excel":58,"python":58,"power bi":58},[371,142,425,63,310],{"actuarial science":59,"financial reporting":58,"predictive analytics":58,"statistical modeling":58,"pricing methodologies":59,"disability insurance analysis":59},[610,611,612,452,613,399],"Actuarial Science","Disability Insurance Analysis","Pricing Methodologies","Predictive Analytics",{"id":615,"slug":616,"title":617,"raw_title":40,"is_featured":41,"company":618,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":621,"processed_country_iso_code_gmaps":623,"processed_home_office":105,"processed_salary_min":624,"processed_salary_max":625,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":626,"processed_employment_types":56,"processed_it_skills":627,"processed_it_skills_labels":628,"processed_job_expertise_skills":656,"processed_job_expertise_skills_labels":657,"max_cpc":93,"actual_cpc":94},79123,"specialist-software-engineering-transamerica","Specialist Software Engineering",{"name":619,"slug":620,"logo_url":40},"Transamerica","transamerica",[622],"Cedar Rapids",[48],131000,165000,[55],{"c#":59,"aws":59,"css":59,"git":59,"iis":59,".net":59,"ajax":59,"html":59,"j2ee":59,"java":59,"ci\u002Fcd":59,"maven":59,"nexus":59,"react":59,"docker":59,"github":59,"python":59,"vue.js":59,"angular":59,"harness":59,"jenkins":59,"swagger":59,"dynamodb":59,"rest api":59,"terraform":59,"javascript":59,"kubernetes":59,"spring mvc":59,"sql server":59,"artifactory":59,"asp.net mvc":59,"spring boot":59,"apache camel":59,"api gateways":59,"microservices":59,"entity framework":59,"spring framework":59,"ai development tools":59,"bash\u002Fshell scripting":59,"security scanning tools":59},[63,629,112,276,277,64,114,630,631,281,574,632,633,634,146,635,516,636,637,638,244,639,164,640,641,642,643,644,645,148,646,647,648,649,650,651,652,653,654,655],"Bash\u002FShell scripting","Jenkins","Harness","Maven","Nexus","Artifactory",".NET","Spring Framework","J2EE","REST API","SQL Server","Angular","React","Vue.js","ASP.NET MVC","HTML","CSS","Ajax","API Gateways","Apache Camel","Swagger","Spring Boot","Spring MVC","Entity Framework","IIS","AI Development Tools","Security Scanning Tools",{"cloud architecture":59,"devops engineering":59,"project management":59,"agile methodologies":59,"software engineering":59,"technical leadership":59,"subject matter expertise":59,"financial services industry knowledge":58},[658,659,587,660,661,176,662,663],"Software Engineering","DevOps Engineering","Agile Methodologies","Technical Leadership","Subject Matter Expertise","Financial Services Industry Knowledge",{"id":665,"slug":666,"title":667,"raw_title":40,"is_featured":41,"company":668,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":671,"processed_country_iso_code_gmaps":673,"processed_home_office":105,"processed_salary_min":674,"processed_salary_max":675,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":676,"processed_employment_types":56,"processed_it_skills":677,"processed_it_skills_labels":678,"processed_job_expertise_skills":681,"processed_job_expertise_skills_labels":682,"max_cpc":93,"actual_cpc":94},80117,"pc-actuary-director-reserving-allstate-insurance-co","P&C Actuary Director - Reserving",{"name":669,"slug":670,"logo_url":40},"Allstate Insurance Co.","allstate-insurance-co",[672],"Cook County",[48],190000,250000,[55],{"r":58,"ai":58,"python":58,"copilot":58,"generative ai":58,"machine learning":58},[63,425,679,178,680,519],"AI","Generative AI",{"erm":59,"cape cod":59,"chain-ladder":59,"compensation":59,"ai governance":58,"talent management":59,"capital management":59,"program management":59,"succession planning":59,"bornhuetter-ferguson":59,"stochastic reserving":59,"model risk management":58,"organizational design":59,"loss reserving methodologies":59,"individual claim-level models":59,"insurance reserving frameworks":59,"actuarial\u002Fstatistical techniques":59,"regulatory requirements (gaap, statutory)":59},[683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700],"Loss Reserving Methodologies","Chain-Ladder","Bornhuetter-Ferguson","Cape Cod","Stochastic Reserving","Individual Claim-Level Models","Actuarial\u002FStatistical Techniques","Insurance Reserving Frameworks","ERM","Capital Management","Regulatory Requirements (GAAP, Statutory)","AI Governance","Model Risk Management","Talent Management","Succession Planning","Compensation","Organizational Design","Program Management",{"total":542,"jobs":702},[],{"industry":704,"employment_type":784,"expertise_skills":798,"it_skills":865,"salary_currency":938,"processed_working_hours":945},[705,708,712,716,720,724,728,732,736,739,743,746,749,752,755,758,760,763,766,769,772,775,778,781],{"key":706,"label":380,"count":707},"financial services",253,{"key":709,"label":710,"count":711},"insurance","Insurance",209,{"key":713,"label":714,"count":715},"banking","Banking",102,{"key":717,"label":718,"count":719},"financial markets infrastructure","Financial Markets Infrastructure",43,{"key":721,"label":722,"count":723},"asset management","Asset Management",37,{"key":725,"label":726,"count":727},"data","Data",28,{"key":729,"label":730,"count":731},"data provider","Data Provider",15,{"key":733,"label":734,"count":735},"property","Property",12,{"key":737,"label":738,"count":735},"casualty insurance","Casualty Insurance",{"key":740,"label":741,"count":742},"alternative investments","Alternative Investments",9,{"key":744,"label":346,"count":745},"risk management",6,{"key":747,"label":748,"count":59},"reinsurance","Reinsurance",{"key":750,"label":751,"count":58},"financial markets data","Financial Markets Data",{"key":753,"label":754,"count":58},"infrastructure","Infrastructure",{"key":756,"label":757,"count":58},"credit union","Credit Union",{"key":759,"label":319,"count":110},"alternative asset management",{"key":761,"label":762,"count":110},"financial technology","Financial Technology",{"key":764,"label":765,"count":93},"financial regulation","Financial Regulation",{"key":767,"label":768,"count":93},"digital banking","Digital Banking",{"key":770,"label":771,"count":93},"financial market infrastructure","Financial Market Infrastructure",{"key":773,"label":774,"count":93},"data services","Data Services",{"key":776,"label":777,"count":93},"claims administration","Claims Administration",{"key":779,"label":780,"count":93},"employee benefits brokerage","Employee Benefits Brokerage",{"key":782,"label":783,"count":93},"investment banking","Investment Banking",[785,788,791,795],{"key":56,"label":786,"count":787},"PERMANENT",552,{"key":545,"label":789,"count":790},"STUDENT",41,{"key":792,"label":793,"count":794},"temporary","TEMPORARY",13,{"key":796,"label":797,"count":93},"contract","CONTRACT",[799,802,805,809,812,815,818,821,824,826,828,831,834,836,838,841,844,847,849,851,854,856,859,862],{"key":800,"label":315,"slug":800,"count":801},"data-analysis",118,{"key":803,"label":346,"slug":803,"count":804},"risk-management",92,{"key":806,"label":807,"slug":806,"count":808},"project-management","Project management",87,{"key":810,"label":221,"slug":810,"count":811},"regulatory-compliance",79,{"key":813,"label":171,"slug":813,"count":814},"data-governance",72,{"key":816,"label":88,"slug":816,"count":817},"automation",50,{"key":819,"label":90,"slug":819,"count":820},"root-cause-analysis",48,{"key":822,"label":168,"slug":822,"count":823},"data-engineering",47,{"key":825,"label":178,"slug":825,"count":719},"machine-learning",{"key":827,"label":658,"slug":827,"count":790},"software-engineering",{"key":829,"label":660,"slug":829,"count":830},"agile-methodologies",40,{"key":832,"label":127,"slug":832,"count":833},"incident-response",35,{"key":835,"label":243,"slug":835,"count":833},"observability",{"key":837,"label":180,"slug":837,"count":833},"compliance",{"key":839,"label":432,"slug":839,"count":840},"software-development",34,{"key":842,"label":402,"slug":842,"count":843},"data-visualization",33,{"key":845,"label":376,"slug":845,"count":846},"process-improvement",32,{"key":848,"label":317,"slug":848,"count":846},"portfolio-management",{"key":850,"label":91,"slug":850,"count":846},"data-modeling",{"key":852,"label":324,"slug":852,"count":853},"financial-modeling",31,{"key":855,"label":175,"slug":855,"count":853},"vendor-management",{"key":857,"label":89,"slug":857,"count":858},"incident-management",29,{"key":860,"label":861,"slug":860,"count":727},"system-design","System Design",{"key":863,"label":864,"slug":863,"count":727},"distributed-systems","Distributed Systems",[866,868,871,875,879,882,886,890,893,896,900,903,906,909,912,915,918,920,924,925,929,931,934,936],{"key":867,"label":63,"slug":867,"count":34},"python",{"key":869,"label":142,"slug":869,"count":870},"sql",322,{"key":872,"label":873,"slug":872,"count":874},"aws","Aws",169,{"key":876,"label":877,"slug":876,"count":878},"ms-excel","MS Excel",137,{"key":880,"label":146,"slug":880,"count":881},"java",134,{"key":883,"label":884,"slug":883,"count":885},"ms-azure","MS Azure",133,{"key":887,"label":888,"slug":887,"count":889},"cicd","Ci\u002FCd",111,{"key":891,"label":277,"slug":891,"count":892},"kubernetes",108,{"key":894,"label":425,"slug":894,"count":895},"r",106,{"key":897,"label":898,"slug":897,"count":899},"ms-powerbi","MS PowerBI",94,{"key":901,"label":276,"slug":901,"count":902},"docker",77,{"key":904,"label":905,"slug":904,"count":902},"powershell","Powershell",{"key":907,"label":64,"slug":907,"count":908},"terraform",70,{"key":910,"label":281,"slug":910,"count":911},"git",63,{"key":913,"label":516,"slug":913,"count":914},"c",62,{"key":916,"label":143,"slug":916,"count":917},"snowflake",55,{"key":919,"label":145,"slug":919,"count":917},"tableau",{"key":921,"label":922,"slug":921,"count":923},"gcp","Gcp",51,{"key":913,"label":429,"slug":913,"count":820},{"key":926,"label":927,"slug":926,"count":928},"sas","Sas",46,{"key":930,"label":159,"slug":930,"count":719},"databricks",{"key":932,"label":933,"slug":932,"count":719},"javascript","Javascript",{"key":935,"label":157,"slug":935,"count":790},"kafka",{"key":937,"label":113,"slug":937,"count":790},"bash",[939,941,944],{"key":52,"label":52,"count":940},603,{"key":942,"label":942,"count":943},"GBP",5,{"key":543,"label":543,"count":110},[946,948],{"key":55,"label":55,"count":947},605,{"key":949,"label":949,"count":943},"PART_TIME"]