[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=87":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=87":659,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=87":995},{},{"total":5,"jobs":6},2099,[7,53,115,139,175,190,214,249,273,320,354,390,434,470,506,525,561,585,615,636],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":42,"processed_job_expertise_skills_labels":43,"max_cpc":52,"actual_cpc":52},60045,"lead-software-engineer-time-series-tha002-refinitiv-software-thailand-limited","Lead Software Engineer (Time Series)",null,false,{"name":14,"slug":15,"logo_url":11},"Refinitiv Software (Thailand) Limited","refinitiv-software-thailand-limited",[17],"Pathum Wan",[19],"TH","onsite",60000,90000,"USD","estimated",[26],"FULL_TIME","permanent",{"sql":29,"java":30,"jira":29,"python":30,"javascript":30,"cloud technology":29,"agile methodologies":29,"distributed systems":30,"test driven development":29,"behavior driven development":29},3,4,[32,33,34,35,36,37,38,39,40,41],"Java","Python","JavaScript","SQL","Cloud Technology","Distributed Systems","Test Driven Development","Behavior Driven Development","JIRA","Agile Methodologies",{"code review":29,"unit testing":29,"secure coding":29,"design patterns":30,"agile development":29,"software development":30,"technical leadership":30,"software architecture design":30},[44,45,46,47,48,49,50,51],"Software Architecture Design","Software Development","Design Patterns","Unit Testing","Secure Coding","Code Review","Agile Development","Technical Leadership",1,{"id":54,"slug":55,"title":56,"raw_title":11,"is_featured":12,"company":57,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":60,"processed_country_iso_code_gmaps":61,"processed_home_office":63,"processed_salary_min":64,"processed_salary_max":65,"processed_salary_currency":66,"processed_salary_source":24,"processed_working_hours":67,"processed_employment_types":27,"processed_it_skills":68,"processed_it_skills_labels":70,"processed_job_expertise_skills":100,"processed_job_expertise_skills_labels":101,"max_cpc":52,"actual_cpc":52},89387,"product-engineering-integration-java-developer-allstate-insurance-company-of-canada-permanent","Product Engineering (Integration Java Developer)",{"name":58,"slug":59,"logo_url":11},"Allstate Insurance Company of Canada - Permanent","allstate-insurance-company-of-canada-permanent",[],[62],"CA","hybrid",80900,110000,"CAD",[26],{"sql":69,"tdd":29,"xml":29,"iris":69,"java":30,"json":29,"ci\u002Fcd":29,"junit":29,"kafka":69,"mysql":69,"redis":69,"tibco":69,"docker":69,"github":29,"oracle":69,"python":69,"splunk":69,"talend":69,"datadog":69,"jenkins":29,"mongodb":69,"swagger":29,"intellij":29,"datapower":69,"javascript":69,"postgresql":69,"sql server":69,"spring boot":30,"microservices":29,"visual studio":69,"restful api design":30,"pivotal cloud cache":69,"pivotal cloud foundry (pcf)":69},2,[32,71,72,73,35,74,75,76,77,78,79,80,81,82,83,84,85,86,34,33,87,88,89,90,91,92,93,94,95,96,97,98,99],"Spring Boot","RESTful API Design","Microservices","CI\u002FCD","GitHub","Jenkins","JUnit","IntelliJ","Visual Studio","XML","JSON","Swagger","Splunk","IRIS","DataDog","TDD","Oracle","SQL Server","MongoDB","Redis","Pivotal Cloud Cache","Pivotal Cloud Foundry (PCF)","MySQL","PostgreSQL","Docker","Datapower","Talend","Kafka","Tibco",{"api design":30,"code review":29,"orchestration":29,"cloud platforms":69,"batch processing":29,"containerization":69,"agile methodologies":29,"database development":69,"message transformation":29,"performance monitoring":29,"secure coding practices":29,"technical documentation":29,"api performance management":29,"integration design patterns":30,"logging and monitoring tools":29},[102,103,41,104,105,49,106,107,108,109,110,111,112,113,114],"API Design","Integration Design Patterns","Secure Coding Practices","Performance Monitoring","Technical Documentation","Message Transformation","Orchestration","Batch Processing","API Performance Management","Database Development","Logging and Monitoring Tools","Containerization","Cloud Platforms",{"id":116,"slug":117,"title":118,"raw_title":11,"is_featured":12,"company":119,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":122,"processed_country_iso_code_gmaps":124,"processed_home_office":20,"processed_salary_min":126,"processed_salary_max":127,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":128,"processed_employment_types":27,"processed_it_skills":129,"processed_it_skills_labels":130,"processed_job_expertise_skills":132,"processed_job_expertise_skills_labels":133,"max_cpc":52,"actual_cpc":52},63400,"senior-financial-markets-specialist-financial-markets-specialist-financial-markets-group-federal-reserve-bank-of-chicago","Senior Financial Markets Specialist \u002F Financial Markets Specialist, Financial Markets Group",{"name":120,"slug":121,"logo_url":11},"Federal Reserve Bank of Chicago","federal-reserve-bank-of-chicago",[123],"Chicago",[125],"US",115200,160000,[26],{"r":30,"python":30},[131,33],"R",{"research":30,"data analysis":30,"policy analysis":30,"financial markets analysis":30,"stakeholder relationship management":30},[134,135,136,137,138],"Financial Markets Analysis","Policy Analysis","Data Analysis","Research","Stakeholder Relationship Management",{"id":140,"slug":141,"title":142,"raw_title":11,"is_featured":12,"company":143,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":146,"processed_country_iso_code_gmaps":148,"processed_home_office":20,"processed_salary_min":150,"processed_salary_max":151,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":152,"processed_employment_types":27,"processed_it_skills":153,"processed_it_skills_labels":154,"processed_job_expertise_skills":166,"processed_job_expertise_skills_labels":167,"max_cpc":52,"actual_cpc":52},63329,"senior-data-engineer-ky-su-du-lieu-cap-cao-pva-prudential-vietnam-assurance-private-ltd","Senior Data Engineer (Kỹ sư Dữ liệu Cấp cao)",{"name":144,"slug":145,"logo_url":11},"Prudential Vietnam Assurance Private Ltd.","prudential-vietnam-assurance-private-ltd",[147],"Thành phố Hồ Chí Minh",[149],"VN",50000,70000,[26],{"dax":29,"mdx":29,"sql":30,"java":29,"qlik":29,"azure":30,"flink":30,"spark":30,"hadoop":29,"python":29,"powerbi":29,"tableau":29,"mapreduce":29,"databricks":30},[155,156,157,158,32,159,160,35,33,161,162,163,164,165],"Flink","Spark","Databricks","Azure","DAX","MDX","PowerBI","Tableau","Qlik","Hadoop","MapReduce",{"data mining":30,"data modeling":30,"elastic search":29,"data integration":30,"data lifecycle design":29,"data ontology alignment":29,"life insurance domain knowledge":30},[168,169,170,171,172,173,174],"Data Integration","Data Modeling","Data Mining","Data Lifecycle Design","Data Ontology Alignment","Elastic Search","Life Insurance Domain Knowledge",{"id":176,"slug":177,"title":178,"raw_title":11,"is_featured":12,"company":179,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":180,"processed_country_iso_code_gmaps":181,"processed_home_office":20,"processed_salary_min":182,"processed_salary_max":183,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":184,"processed_employment_types":27,"processed_it_skills":185,"processed_it_skills_labels":186,"processed_job_expertise_skills":187,"processed_job_expertise_skills_labels":188,"max_cpc":52,"actual_cpc":52},63399,"senior-financial-markets-analyst-financial-markets-analyst-financial-markets-group-federal-reserve-bank-of-chicago","Senior Financial Markets Analyst \u002F Financial Markets Analyst, Financial Markets Group",{"name":120,"slug":121,"logo_url":11},[123],[125],77900,121600,[26],{"r":30,"python":30},[131,33],{"research":30,"presentation":30,"data analysis":30,"policy analysis":30,"financial markets analysis":30},[134,136,135,137,189],"Presentation",{"id":191,"slug":192,"title":193,"raw_title":11,"is_featured":12,"company":194,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":198,"processed_country_iso_code_gmaps":200,"processed_home_office":20,"processed_salary_min":201,"processed_salary_max":202,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":203,"processed_employment_types":27,"processed_it_skills":204,"processed_it_skills_labels":205,"processed_job_expertise_skills":207,"processed_job_expertise_skills_labels":208,"max_cpc":52,"actual_cpc":52},49657,"associate-pricing-investment-mgt-co-llc","Associate, Pricing",{"name":195,"slug":196,"logo_url":197},"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",[199],"Newport Beach",[125],87000,93000,[26],{"sql":29,"python":29,"ms excel":29},[35,33,206],"MS Excel",{"fund audits":29,"pricing vendors":29,"complex derivatives":30,"fixed income products":29,"business requirements writing":29},[209,210,211,212,213],"Fixed Income Products","Complex Derivatives","Pricing Vendors","Fund Audits","Business Requirements Writing",{"id":215,"slug":216,"title":217,"raw_title":11,"is_featured":12,"company":218,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":222,"processed_country_iso_code_gmaps":224,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":226,"processed_salary_currency":227,"processed_salary_source":24,"processed_working_hours":228,"processed_employment_types":27,"processed_it_skills":229,"processed_it_skills_labels":230,"processed_job_expertise_skills":233,"processed_job_expertise_skills_labels":234,"max_cpc":52,"actual_cpc":52},52716,"senior-fund-manager-mfd-renewables-aquila-capital-investmentgesellschaft-mbh-2","Senior Fund Manager (m\u002Ff\u002Fd) Renewables",{"name":219,"slug":220,"logo_url":221},"Aquila Capital Investmentgesellschaft mbH","aquila-capital-investmentgesellschaft-mbh","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002F0\u002F04\u002FAquila_Capital_Logo.png\u002F330px-Aquila_Capital_Logo.png",[223],"Hamburg",[225],"DE",130000,"EUR",[26],{"sql":69,"excel":29,"python":69,"data analysis":29,"automation tools":29},[231,33,35,136,232],"Excel","Automation Tools",{"aifm knowledge":30,"fund management":30,"risk management":30,"spa negotiation":30,"capital planning":30,"financial modeling":30,"investor relations":30,"investment analysis":30,"board representation":30,"liquidity management":30,"portfolio management":30,"regulatory compliance":30,"transaction execution":30,"clean energy sector expertise":30},[235,236,237,238,239,240,241,242,243,244,245,246,247,248],"Fund Management","Portfolio Management","Investment Analysis","Financial Modeling","Risk Management","Regulatory Compliance","AIFM Knowledge","Clean Energy Sector Expertise","Investor Relations","Transaction Execution","SPA Negotiation","Capital Planning","Liquidity Management","Board Representation",{"id":250,"slug":251,"title":252,"raw_title":11,"is_featured":12,"company":253,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":256,"processed_country_iso_code_gmaps":258,"processed_home_office":63,"processed_salary_min":151,"processed_salary_max":259,"processed_salary_currency":227,"processed_salary_source":24,"processed_working_hours":260,"processed_employment_types":27,"processed_it_skills":262,"processed_it_skills_labels":263,"processed_job_expertise_skills":265,"processed_job_expertise_skills_labels":266,"max_cpc":52,"actual_cpc":52},71932,"capital-quantitative-strategist-in-group-strategic-analytics-fmx-0010-deutsche-bank-aktiengesellschaft","Capital Quantitative Strategist in Group Strategic Analytics (f\u002Fm\u002Fx)",{"name":254,"slug":255,"logo_url":11},"0010 Deutsche Bank Aktiengesellschaft","0010-deutsche-bank-aktiengesellschaft",[257],"Frankfurt am Main",[225],100000,[26,261],"PART_TIME",{"c++":30,"python":30},[264,33],"C++",{"data modeling":29,"accounting rules":29,"capital planning":29,"regulatory reporting":29,"credit risk management":29,"quantitative analytics":30,"banking products knowledge":29,"risk weighted assets (rwa) management":30},[267,268,269,270,246,169,271,272],"Quantitative Analytics","Credit Risk Management","Regulatory Reporting","Risk Weighted Assets (RWA) Management","Banking Products Knowledge","Accounting Rules",{"id":274,"slug":275,"title":276,"raw_title":11,"is_featured":12,"company":277,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":280,"processed_country_iso_code_gmaps":282,"processed_home_office":20,"processed_salary_min":284,"processed_salary_max":285,"processed_salary_currency":286,"processed_salary_source":24,"processed_working_hours":287,"processed_employment_types":27,"processed_it_skills":288,"processed_it_skills_labels":289,"processed_job_expertise_skills":300,"processed_job_expertise_skills_labels":301,"max_cpc":52,"actual_cpc":52},59530,"data-scientist-gbr006-refinitiv-limited","Data Scientist",{"name":278,"slug":279,"logo_url":11},"Refinitiv Limited","refinitiv-limited",[281],"London",[283],"GB",80000,120000,"GBP",[26],{"sql":29,"llms":29,"mlops":29,"numpy":29,"pandas":29,"python":30,"scikit-learn":29,"generative ai":29,"azure ai services":69,"rag architectures":29,"data visualization":29,"cloud-based data science platforms":29},[33,35,290,291,292,293,294,295,296,297,298,299],"Pandas","NumPy","Scikit-learn","Generative AI","LLMs","RAG architectures","Cloud-based data science platforms","MLOps","Data visualization","Azure AI services",{"sre":69,"mentoring":29,"observability":69,"responsible ai":69,"experimentation":29,"machine learning":30,"model evaluation":29,"model governance":29,"model monitoring":29,"product delivery":29,"financial services":69,"feature engineering":29,"predictive analytics":30,"ai-powered automation":69,"market infrastructure":69,"operational analytics":69,"statistical modelling":30,"regulated environments":69},[302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319],"Machine Learning","Statistical Modelling","Predictive Analytics","Experimentation","Feature Engineering","Model Evaluation","Model Monitoring","Model Governance","Product Delivery","Mentoring","Financial Services","Regulated Environments","Market Infrastructure","Observability","SRE","Operational Analytics","AI-powered Automation","Responsible AI",{"id":321,"slug":322,"title":323,"raw_title":11,"is_featured":12,"company":324,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":327,"processed_country_iso_code_gmaps":329,"processed_home_office":20,"processed_salary_min":330,"processed_salary_max":331,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":332,"processed_employment_types":27,"processed_it_skills":333,"processed_it_skills_labels":334,"processed_job_expertise_skills":337,"processed_job_expertise_skills_labels":338,"max_cpc":52,"actual_cpc":52},66373,"associate-financial-resource-management-frm-xva-structuring-and-optimization-td-securities-usa-llc","Associate, Financial Resource Management (FRM) – xVA Structuring and Optimization",{"name":325,"slug":326,"logo_url":11},"TD Securities (USA) LLC","td-securities-usa-llc",[328],"New York",[125],150000,200000,[26],{"excel":30,"python":30,"programming":29,"data analysis tools":29},[231,33,335,336],"Data analysis tools","Programming",{"treasury":29,"structuring":30,"data analysis":30,"xva framework":30,"risk management":30,"financial markets":30,"capital management":30,"derivative pricing":30,"funding management":30,"project management":29,"liquidity management":30,"quantitative modeling":30,"valuation adjustments":30,"counterparty credit risk":30,"financial resource optimization":30},[339,340,341,342,343,344,345,346,347,348,349,350,351,352,353],"Derivative pricing","Structuring","xVA framework","Financial resource optimization","Capital management","Funding management","Liquidity management","Counterparty credit risk","Quantitative modeling","Data analysis","Valuation adjustments","Financial markets","Risk management","Treasury","Project management",{"id":355,"slug":356,"title":357,"raw_title":11,"is_featured":12,"company":358,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":362,"processed_country_iso_code_gmaps":364,"processed_home_office":20,"processed_salary_min":366,"processed_salary_max":367,"processed_salary_currency":368,"processed_salary_source":24,"processed_working_hours":369,"processed_employment_types":27,"processed_it_skills":370,"processed_it_skills_labels":371,"processed_job_expertise_skills":379,"processed_job_expertise_skills_labels":380,"max_cpc":52,"actual_cpc":52},51569,"software-developer-product-engineering-apex-group-information-services-philippines-inc","Software Developer, Product Engineering",{"name":359,"slug":360,"logo_url":361},"APEX GROUP INFORMATION SERVICES (PHILIPPINES) INC.","apex-group-information-services-philippines-inc","https:\u002F\u002Fwww.apexgroup.com\u002Fmedia\u002Fl05krqrh\u002Fapex-logo.svg",[363],"Makati City",[365],"PH",600000,1200000,"PHP",[26],{"git":29,"sql":29,"azure":69,"ci\u002Fcd":29,"nunit":69,"docker":69,"pytest":69,"python":30,"airflow":29,"c#\u002F.net":30,"terraform":69,"azure devops":29},[372,33,35,373,374,375,74,95,376,158,377,378],"C#\u002F.NET","Airflow","Git","Azure DevOps","Terraform","PyTest","NUnit",{"etl concepts":29,"data analysis":29,"agile principles":69,"job orchestration":29,"exception handling":30,"error logs analysis":29,"monitoring\u002Falerting tools":29,"multi-layered architecture":30,"object-oriented programming":30,"error handling in data workflows":29},[381,382,383,348,384,385,386,387,388,389],"Object-oriented programming","Exception handling","Multi-layered architecture","ETL concepts","Job orchestration","Error handling in data workflows","Monitoring\u002Falerting tools","Error logs analysis","Agile principles",{"id":391,"slug":392,"title":393,"raw_title":11,"is_featured":12,"company":394,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":397,"processed_country_iso_code_gmaps":399,"processed_home_office":20,"processed_salary_min":400,"processed_salary_max":401,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":402,"processed_employment_types":27,"processed_it_skills":403,"processed_it_skills_labels":404,"processed_job_expertise_skills":414,"processed_job_expertise_skills_labels":415,"max_cpc":52,"actual_cpc":52},63375,"senior-ai-engineer-privilege-underwriters-inc","Senior AI Engineer",{"name":395,"slug":396,"logo_url":11},"Privilege Underwriters, Inc.","privilege-underwriters-inc",[398],"White Plains",[125],85000,105000,[26],{"aws":30,"docker":29,"python":30,"fastapi":29,"langchain":29,"langgraph":29,"terraform":69,"databricks":30,"kubernetes":69,"claude code":29,"openai codex":29,"github actions":29,"github copilot":29},[33,405,95,406,157,407,408,409,376,410,411,412,413],"AWS","Kubernetes","LangChain","LangGraph","FastAPI","GitHub Actions","OpenAI Codex","Claude Code","GitHub Copilot",{"ci\u002Fcd":29,"agentic ai":30,"risk scoring":69,"ai governance":30,"model serving":29,"observability":29,"rag pipelines":30,"vector search":29,"fraud detection":69,"llm engineering":30,"containerization":29,"machine learning":30,"cost optimization":29,"incident response":29,"model fine-tuning":29,"cloud architecture":30,"prompt engineering":30,"feature engineering":29,"serverless computing":29,"document intelligence":69,"actuarial data systems":69,"compliance (soc2, naic, gdpr)":29,"software development life cycle":29},[302,416,417,418,419,420,421,74,422,423,315,424,425,426,113,427,306,428,429,430,431,432,433],"LLM Engineering","RAG Pipelines","Agentic AI","Prompt Engineering","Model Fine-tuning","AI Governance","Cloud Architecture","Cost Optimization","Incident Response","Software Development Life Cycle","Serverless Computing","Vector Search","Model Serving","Compliance (SOC2, NAIC, GDPR)","Fraud Detection","Document Intelligence","Risk Scoring","Actuarial Data Systems",{"id":435,"slug":436,"title":437,"raw_title":11,"is_featured":12,"company":438,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":441,"processed_country_iso_code_gmaps":443,"processed_home_office":20,"processed_salary_min":330,"processed_salary_max":331,"processed_salary_currency":286,"processed_salary_source":24,"processed_working_hours":444,"processed_employment_types":27,"processed_it_skills":445,"processed_it_skills_labels":446,"processed_job_expertise_skills":456,"processed_job_expertise_skills_labels":457,"max_cpc":52,"actual_cpc":52},59386,"principal-cloud-data-architect-lseg","Principal - Cloud Data Architect",{"name":439,"slug":440,"logo_url":11},"LSEG","lseg",[442],"Allen",[125],[26],{"aws":30,"gcp":29,"sql":30,"azure":30,"hbase":29,"kafka":29,"python":30,"airflow":29,"graphql":29,"kinesis":29,"mongodb":29,"cosmosdb":29,"dataflow":29,"dynamodb":29,"snowflake":30,"databricks":30},[35,33,405,158,447,98,448,449,373,89,450,451,452,453,454,455],"GCP","Kinesis","DataFlow","DynamoDB","HBase","CosmosDB","GraphQL","Snowflake","DataBricks",{"nosql":29,"data quality":30,"data delivery":30,"cloud services":30,"data governance":29,"data integration":30,"data warehousing":30,"data architecture":30,"predictive modeling":29,"relational modeling":30,"prescriptive modeling":29,"master data management":29,"real-time data distribution":29},[458,459,460,461,168,462,463,464,465,466,467,468,469],"Data Architecture","Cloud Services","Data Governance","Master Data Management","Data Quality","Data Delivery","Relational Modeling","Real-time Data Distribution","NoSQL","Data Warehousing","Predictive Modeling","Prescriptive Modeling",{"id":471,"slug":472,"title":473,"raw_title":11,"is_featured":12,"company":474,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":477,"processed_country_iso_code_gmaps":479,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":226,"processed_salary_currency":481,"processed_salary_source":24,"processed_working_hours":482,"processed_employment_types":27,"processed_it_skills":483,"processed_it_skills_labels":484,"processed_job_expertise_skills":499,"processed_job_expertise_skills_labels":500,"max_cpc":52,"actual_cpc":52},68241,"senior-developer-machine-learning-operations-6255-uob-innovation-hub-2-sdn-bhd","Senior Developer, Machine Learning Operations",{"name":475,"slug":476,"logo_url":11},"UOB Innovation Hub 2 Sdn Bhd","uob-innovation-hub-2-sdn-bhd",[478],"Kuala Lumpur",[480],"MY","MYR",[26],{"aws":30,"jira":29,"ci\u002Fcd":30,"sonar":29,"docker":30,"geneos":29,"python":30,"splunk":29,"grafana":29,"jenkins":29,"langfuse":29,"veracode":29,"bitbucket":29,"openshift":30,"agentic ai":29,"confluence":29,"kubernetes":30,"artifactory":29,"elastic stack":29,"generative ai":29,"microservices":29,"opentelemetry":29,"api integration":29,"bash\u002Funix\u002Flinux":30,"workflow orchestrator (ctrl-m)":29},[33,485,74,95,406,486,405,487,76,488,489,490,40,491,83,492,493,494,495,496,497,73,498,293,418],"Bash\u002FUnix\u002FLinux","OpenShift","Bitbucket","Artifactory","Sonar","Veracode","Confluence","Geneos","Langfuse","Elastic Stack","Grafana","OpenTelemetry","API Integration","Workflow Orchestrator (Ctrl-M)",{"compliance":29,"data security":29,"observability":29,"rag pipelines":29,"network security":29,"prompt engineering":29,"ai model deployment":30,"machine learning operations":30},[501,502,503,504,505,315,419,417],"Machine Learning Operations","AI Model Deployment","Network Security","Data Security","Compliance",{"id":507,"slug":508,"title":437,"raw_title":11,"is_featured":12,"company":509,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":510,"processed_country_iso_code_gmaps":511,"processed_home_office":20,"processed_salary_min":330,"processed_salary_max":331,"processed_salary_currency":286,"processed_salary_source":24,"processed_working_hours":512,"processed_employment_types":27,"processed_it_skills":513,"processed_it_skills_labels":514,"processed_job_expertise_skills":515,"processed_job_expertise_skills_labels":516,"max_cpc":52,"actual_cpc":52},59573,"principal-cloud-data-architect-gbr006-refinitiv-limited",{"name":278,"slug":279,"logo_url":11},[281],[283],[26],{"aws":30,"gcp":29,"sql":30,"azure":30,"hbase":29,"kafka":29,"python":30,"airflow":29,"graphql":29,"kinesis":29,"mongodb":29,"cosmosdb":29,"dataflow":29,"dynamodb":29,"snowflake":30,"databricks":30},[35,33,405,158,447,98,448,449,373,89,450,451,452,453,454,455],{"nosql":29,"privacy":29,"security":29,"data quality":30,"cloud services":30,"data governance":30,"data management":30,"data integration":30,"data architecture":30,"relational modeling":30,"secure architecture":30,"scalable architecture":30,"master data management":29,"modern data warehousing":30,"cost-effective architecture":29,"real-time data distribution":29,"end-to-end data architecture":30},[458,517,168,462,460,461,518,519,459,465,466,520,464,521,522,523,524],"Data Management","Security","Privacy","Modern Data Warehousing","End-to-end Data Architecture","Cost-effective Architecture","Scalable Architecture","Secure Architecture",{"id":526,"slug":527,"title":528,"raw_title":11,"is_featured":12,"company":529,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":532,"processed_country_iso_code_gmaps":533,"processed_home_office":20,"processed_salary_min":534,"processed_salary_max":535,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":536,"processed_employment_types":27,"processed_it_skills":537,"processed_it_skills_labels":538,"processed_job_expertise_skills":549,"processed_job_expertise_skills_labels":550,"max_cpc":52,"actual_cpc":52},70695,"information-security-analyst-i-camden-national-bank","Information Security Analyst I",{"name":530,"slug":531,"logo_url":11},"Camden National Bank","camden-national-bank",[],[],51600,75700,[26],{"siem":29,"python":69,"ids\u002Fips":29,"firewalls":29,"powershell":69,"email security":29,"microsoft word":29,"microsoft excel":29,"cloud technologies":69,"microsoft powerpoint":29,"vulnerability management":29},[33,539,540,541,542,543,544,545,546,547,548],"PowerShell","SIEM","Firewalls","Email Security","Vulnerability Management","IDS\u002FIPS","Cloud Technologies","Microsoft Excel","Microsoft Word","Microsoft PowerPoint",{"threat hunting":29,"risk management":29,"incident response":29,"threat simulation":69,"vendor management":29,"red team exercises":69,"firewall management":29,"threat intelligence":29,"vulnerability management":29,"cyber security investigation":29,"nist cybersecurity framework":29,"data privacy and security concepts":29,"physical security device monitoring":29},[551,543,424,552,553,554,555,239,556,557,558,559,560],"Threat Intelligence","Threat Hunting","NIST Cybersecurity Framework","Data Privacy and Security Concepts","Cyber Security Investigation","Vendor Management","Physical Security Device Monitoring","Firewall Management","Red Team Exercises","Threat Simulation",{"id":562,"slug":563,"title":564,"raw_title":11,"is_featured":12,"company":565,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":568,"processed_country_iso_code_gmaps":569,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":285,"processed_salary_currency":286,"processed_salary_source":24,"processed_working_hours":570,"processed_employment_types":27,"processed_it_skills":571,"processed_it_skills_labels":572,"processed_job_expertise_skills":575,"processed_job_expertise_skills_labels":576,"max_cpc":52,"actual_cpc":52},59892,"technical-product-lead-ftse-international-limited","Technical Product Lead",{"name":566,"slug":567,"logo_url":11},"FTSE International Limited","ftse-international-limited",[281],[283],[26],{"ai\u002Fml":29,"python":29,"data science workflows":29},[33,573,574],"AI\u002FML","Data Science Workflows",{"market analysis":29,"product strategy":30,"client engagement":29,"financial services":29,"roadmap development":30,"competitive analysis":29,"go-to-market strategy":29,"indices and benchmarks":29,"equity and multi-asset products":29},[577,578,579,580,581,582,583,584,312],"Product Strategy","Roadmap Development","Market Analysis","Competitive Analysis","Client Engagement","Go-to-Market Strategy","Equity and Multi-Asset Products","Indices and Benchmarks",{"id":586,"slug":587,"title":588,"raw_title":11,"is_featured":12,"company":589,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":592,"processed_country_iso_code_gmaps":594,"processed_home_office":20,"processed_salary_min":596,"processed_salary_max":597,"processed_salary_currency":598,"processed_salary_source":24,"processed_working_hours":599,"processed_employment_types":27,"processed_it_skills":600,"processed_it_skills_labels":601,"processed_job_expertise_skills":606,"processed_job_expertise_skills_labels":607,"max_cpc":52,"actual_cpc":52},49354,"sql-developer-sr-analyst-mufg-global-service-private-limited","SQL Developer - Sr Analyst",{"name":590,"slug":591,"logo_url":11},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[593],"Bengaluru",[595],"IN",1500000,2500000,"INR",[26],{"sql":30,"ssis":30,"ssrs":29,"ci\u002Fcd":69,"oracle":69,"python":69,"power bi":29,"control-m":69,"snowflake":69,"powershell":69},[35,602,603,604,33,539,454,87,605,74],"SSIS","SSRS","Power BI","Control-M",{"etl\u002Felt":30,"data security":29,"data integration":30,"data warehousing":30,"devops practices":69,"performance tuning":30,"query optimization":30,"star schema design":30,"agile methodologies":69,"dimensional modeling":30,"execution plan analysis":30},[467,608,609,610,611,612,613,168,504,41,614],"Dimensional Modeling","Star Schema Design","Performance Tuning","Query Optimization","Execution Plan Analysis","ETL\u002FELT","DevOps Practices",{"id":616,"slug":617,"title":618,"raw_title":11,"is_featured":12,"company":619,"raw_hiringOrganization_logo_url":622,"processed_city_gmaps":623,"processed_country_iso_code_gmaps":625,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":227,"processed_salary_source":24,"processed_working_hours":626,"processed_employment_types":27,"processed_it_skills":627,"processed_it_skills_labels":628,"processed_job_expertise_skills":629,"processed_job_expertise_skills_labels":630,"max_cpc":52,"actual_cpc":52},50576,"junior-aktuar-risikomodellierung-marktversicherungstechnik-mwd-arag-se-2","(Junior) Aktuar – Risikomodellierung Markt\u002FVersicherungstechnik (m\u002Fw\u002Fd)",{"name":620,"slug":621,"logo_url":622},"ARAG SE","arag-se","https:\u002F\u002Fwww.karriere-bei-arag.de\u002Fuploads\u002F726\u002Fsettings\u002Fcreators\u002Farag-zentrale-306-606c6ea26a090.png",[624],"Düsseldorf",[225],[26],{"sql":29,"excel":29,"python":29},[33,35,231],{"solvency ii":30,"data science":29,"risk modeling":30,"actuarial science":29,"quantitative analysis":30},[631,632,633,634,635],"Risk Modeling","Solvency II","Quantitative Analysis","Data Science","Actuarial Science",{"id":637,"slug":638,"title":639,"raw_title":11,"is_featured":12,"company":640,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":641,"processed_country_iso_code_gmaps":642,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":226,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":643,"processed_employment_types":27,"processed_it_skills":644,"processed_it_skills_labels":645,"processed_job_expertise_skills":647,"processed_job_expertise_skills_labels":648,"max_cpc":52,"actual_cpc":658},59539,"quantitative-valuations-specialist-gbr006-refinitiv-limited","Quantitative Valuations Specialist",{"name":278,"slug":279,"logo_url":11},[281],[283],[26],{"sql":29,"python":30,"machine learning":29,"large language models":29},[33,35,302,646],"Large Language Models",{"training":29,"code review":29,"documentation":29,"software design":29,"strategic planning":29,"operational support":29,"fixed income pricing":29,"quantitative finance":30,"statistical modeling":29,"model lifecycle management":29},[649,650,651,652,49,653,654,655,656,657],"Quantitative Finance","Fixed Income Pricing","Statistical Modeling","Software Design","Documentation","Training","Operational Support","Model Lifecycle Management","Strategic Planning",0.5,{"industry":660,"employment_type":746,"expertise_skills":762,"it_skills":843,"salary_currency":922,"processed_working_hours":990},[661,664,668,672,676,680,684,688,692,696,700,704,707,711,714,718,720,723,727,731,734,737,740,743],{"key":662,"label":312,"count":663},"financial services",938,{"key":665,"label":666,"count":667},"insurance","Insurance",550,{"key":669,"label":670,"count":671},"banking","Banking",490,{"key":673,"label":674,"count":675},"financial markets infrastructure","Financial Markets Infrastructure",240,{"key":677,"label":678,"count":679},"data","Data",139,{"key":681,"label":682,"count":683},"data provider","Data Provider",107,{"key":685,"label":686,"count":687},"asset management","Asset Management",106,{"key":689,"label":690,"count":691},"financial technology","Financial Technology",33,{"key":693,"label":694,"count":695},"wealth management","Wealth Management",22,{"key":697,"label":698,"count":699},"digital banking","Digital Banking",15,{"key":701,"label":702,"count":703},"property","Property",11,{"key":705,"label":706,"count":703},"casualty insurance","Casualty Insurance",{"key":708,"label":709,"count":710},"reinsurance","Reinsurance",10,{"key":712,"label":713,"count":710},"alternative investments","Alternative Investments",{"key":715,"label":716,"count":717},"financial advisory","Financial Advisory",9,{"key":719,"label":239,"count":717},"risk management",{"key":721,"label":722,"count":717},"financial market infrastructure","Financial Market Infrastructure",{"key":724,"label":725,"count":726},"technology solutions","Technology Solutions",7,{"key":728,"label":729,"count":730},"alternative asset management","Alternative Asset Management",5,{"key":732,"label":733,"count":30},"claims management","Claims Management",{"key":735,"label":736,"count":30},"private banking","Private Banking",{"key":738,"label":739,"count":29},"private equity","Private Equity",{"key":741,"label":742,"count":29},"vehicle leasing","Vehicle Leasing",{"key":744,"label":745,"count":29},"fleet management","Fleet Management",[747,750,754,758],{"key":27,"label":748,"count":749},"PERMANENT",1900,{"key":751,"label":752,"count":753},"student","STUDENT",119,{"key":755,"label":756,"count":757},"temporary","TEMPORARY",29,{"key":759,"label":760,"count":761},"contract","CONTRACT",16,[763,766,769,772,775,778,781,785,789,793,797,801,804,806,809,813,817,820,823,826,830,834,836,839],{"key":764,"label":136,"slug":764,"count":765},"data-analysis",345,{"key":767,"label":239,"slug":767,"count":768},"risk-management",327,{"key":770,"label":460,"slug":770,"count":771},"data-governance",223,{"key":773,"label":353,"slug":773,"count":774},"project-management",210,{"key":776,"label":302,"slug":776,"count":777},"machine-learning",203,{"key":779,"label":240,"slug":779,"count":780},"regulatory-compliance",200,{"key":782,"label":783,"slug":782,"count":784},"automation","Automation",199,{"key":786,"label":787,"slug":786,"count":788},"data-engineering","Data Engineering",161,{"key":790,"label":791,"slug":790,"count":792},"root-cause-analysis","Root Cause Analysis",141,{"key":794,"label":795,"slug":794,"count":796},"devops","Devops",134,{"key":798,"label":799,"slug":798,"count":800},"incident-management","Incident Management",132,{"key":802,"label":803,"slug":802,"count":800},"process-improvement","Process Improvement",{"key":805,"label":41,"slug":805,"count":800},"agile-methodologies",{"key":807,"label":169,"slug":807,"count":808},"data-modeling",129,{"key":810,"label":811,"slug":810,"count":812},"data-visualization","Data Visualization",128,{"key":814,"label":815,"slug":814,"count":816},"software-engineering","Software Engineering",123,{"key":818,"label":505,"slug":818,"count":819},"compliance",121,{"key":821,"label":315,"slug":821,"count":822},"observability",112,{"key":824,"label":634,"slug":824,"count":825},"data-science",101,{"key":827,"label":828,"slug":827,"count":829},"change-management","Change Management",98,{"key":831,"label":832,"slug":831,"count":833},"business-intelligence","Business Intelligence",94,{"key":835,"label":236,"slug":835,"count":833},"portfolio-management",{"key":837,"label":838,"slug":837,"count":833},"model-validation","Model Validation",{"key":840,"label":841,"slug":840,"count":842},"stakeholder-management","Stakeholder Management",93,[844,846,849,853,856,860,863,867,871,874,877,880,883,886,889,893,897,901,905,908,909,912,914,918],{"key":845,"label":33,"slug":845,"count":5},"python",{"key":847,"label":35,"slug":847,"count":848},"sql",1141,{"key":850,"label":851,"slug":850,"count":852},"aws","Aws",427,{"key":854,"label":206,"slug":854,"count":855},"ms-excel",409,{"key":857,"label":858,"slug":857,"count":859},"cicd","Ci\u002FCd",377,{"key":861,"label":32,"slug":861,"count":862},"java",355,{"key":864,"label":865,"slug":864,"count":866},"ms-powerbi","MS PowerBI",328,{"key":868,"label":869,"slug":868,"count":870},"ms-azure","MS Azure",320,{"key":872,"label":406,"slug":872,"count":873},"kubernetes",291,{"key":875,"label":131,"slug":875,"count":876},"r",288,{"key":878,"label":374,"slug":878,"count":879},"git",265,{"key":881,"label":376,"slug":881,"count":882},"terraform",250,{"key":884,"label":95,"slug":884,"count":885},"docker",231,{"key":887,"label":162,"slug":887,"count":888},"tableau",191,{"key":890,"label":891,"slug":890,"count":892},"powershell","Powershell",179,{"key":894,"label":895,"slug":894,"count":896},"sas","Sas",159,{"key":898,"label":899,"slug":898,"count":900},"javascript","Javascript",146,{"key":902,"label":903,"slug":902,"count":904},"vba","Vba",144,{"key":906,"label":76,"slug":906,"count":907},"jenkins",140,{"key":776,"label":302,"slug":776,"count":679},{"key":910,"label":911,"slug":910,"count":679},"linux","Linux",{"key":913,"label":454,"slug":913,"count":679},"snowflake",{"key":915,"label":916,"slug":915,"count":917},"c","C#",138,{"key":919,"label":920,"slug":919,"count":921},"gcp","Gcp",133,[923,925,927,929,931,934,935,937,939,942,944,946,949,952,954,956,958,961,963,966,968,970,972,974,976,978,980,982,984,986,988],{"key":23,"label":23,"count":924},704,{"key":227,"label":227,"count":926},342,{"key":598,"label":598,"count":928},229,{"key":66,"label":66,"count":930},173,{"key":932,"label":932,"count":933},"SGD",153,{"key":286,"label":286,"count":900},{"key":481,"label":481,"count":936},85,{"key":368,"label":368,"count":938},52,{"key":940,"label":940,"count":941},"HKD",37,{"key":943,"label":943,"count":691},"PLN",{"key":945,"label":945,"count":757},"CHF",{"key":947,"label":947,"count":948},"MXN",18,{"key":950,"label":950,"count":951},"BRL",14,{"key":953,"label":953,"count":703},"THB",{"key":955,"label":955,"count":717},"AUD",{"key":957,"label":957,"count":717},"VND",{"key":959,"label":959,"count":960},"CNY",8,{"key":962,"label":962,"count":960},"TRY",{"key":964,"label":964,"count":965},"PEN",6,{"key":967,"label":967,"count":730},"TWD",{"key":969,"label":969,"count":730},"LKR",{"key":971,"label":971,"count":730},"JPY",{"key":973,"label":973,"count":30},"HUF",{"key":975,"label":975,"count":30},"COP",{"key":977,"label":977,"count":29},"RON",{"key":979,"label":979,"count":69},"IDR",{"key":981,"label":981,"count":52},"MZN",{"key":983,"label":983,"count":52},"VES",{"key":985,"label":985,"count":52},"CLP",{"key":987,"label":987,"count":52},"KRW",{"key":989,"label":989,"count":52},"CZK",[991,993],{"key":26,"label":26,"count":992},2078,{"key":261,"label":261,"count":994},38,{"total":52,"jobs":996},[]]