[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=83":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=83":724,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=83":1053},{},{"total":5,"jobs":6},2099,[7,42,74,106,142,177,214,298,339,379,403,429,463,503,537,567,619,636,662,691],{"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":30,"processed_job_expertise_skills":32,"processed_job_expertise_skills_labels":34,"max_cpc":41,"actual_cpc":41},59423,"quantitative-support-engineer-lseg-business-services-rm-srl","Quantitative Support Engineer",null,false,{"name":14,"slug":15,"logo_url":11},"LSEG Business Services RM S.R.L","lseg-business-services-rm-srl",[17],"București",[19],"RO","onsite",60000,90000,"EUR","estimated",[26],"FULL_TIME","permanent",{"python":29},3,[31],"Python",{"triage":29,"defect management":29,"root cause analysis":33,"mathematical finance":29,"pricing financial instruments":33,"cross-market financial concepts":29},4,[35,36,37,38,39,40],"Pricing Financial Instruments","Mathematical Finance","Cross-market Financial Concepts","Root Cause Analysis","Triage","Defect Management",1,{"id":43,"slug":44,"title":45,"raw_title":11,"is_featured":12,"company":46,"raw_hiringOrganization_logo_url":49,"processed_city_gmaps":50,"processed_country_iso_code_gmaps":52,"processed_home_office":54,"processed_salary_min":22,"processed_salary_max":55,"processed_salary_currency":56,"processed_salary_source":24,"processed_working_hours":57,"processed_employment_types":27,"processed_it_skills":59,"processed_it_skills_labels":61,"processed_job_expertise_skills":66,"processed_job_expertise_skills_labels":67,"max_cpc":41,"actual_cpc":41},63376,"implementation-consultant-investment-finance-80-100-mwd-qplix-gmbh","Implementation Consultant | Investment Finance | 80-100% (m\u002Fw\u002Fd)",{"name":47,"slug":48,"logo_url":11},"QPLIX GmbH","qplix-gmbh","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F14583\u002Fsocial\u002Fa333a104635cf76ef0048b560e6cdf42.svg",[51],"Zürich",[53],"CH","hybrid",120000,"CHF",[26,58],"PART_TIME",{"sql":29,"excel":33,"python":60,"scripting":60,"data interfaces":60},2,[62,63,31,64,65],"Excel","SQL","Scripting","Data Interfaces",{"finance":60,"accounting":60,"data migration":29,"project management":29,"investment management":60,"software implementation":33},[68,69,70,71,72,73],"Software Implementation","Project Management","Data Migration","Investment Management","Accounting","Finance",{"id":75,"slug":76,"title":77,"raw_title":11,"is_featured":12,"company":78,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":81,"processed_country_iso_code_gmaps":83,"processed_home_office":20,"processed_salary_min":85,"processed_salary_max":55,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":86,"processed_employment_types":27,"processed_it_skills":87,"processed_it_skills_labels":88,"processed_job_expertise_skills":90,"processed_job_expertise_skills_labels":91,"max_cpc":41,"actual_cpc":41},52722,"credit-insurance-actuary-13000-arch-underwriters-europe-limited","Credit Insurance Actuary",{"name":79,"slug":80,"logo_url":11},"Arch Underwriters Europe Limited","arch-underwriters-europe-limited",[82],"Dublin 4",[84],"IE",80000,[26],{"sql":60,"excel":29,"python":60,"ai tools":29},[89,62,31,63],"AI tools",{"underwriting":33,"actuarial pricing":33,"business development":29,"composition analysis":33,"contract negotiation":29,"portfolio monitoring":33,"regulatory frameworks":33,"tranching\u002Fstructuring":33,"rating agency frameworks":33,"economic capital frameworks":33,"pricing strategy development":33,"quarterly portfolio analysis":33,"loss given default estimation":33,"probability of default estimation":33},[92,93,94,95,96,97,98,99,100,101,102,103,104,105],"Actuarial pricing","Underwriting","Portfolio monitoring","Probability of default estimation","Loss given default estimation","Tranching\u002Fstructuring","Composition analysis","Pricing strategy development","Regulatory frameworks","Rating agency frameworks","Economic capital frameworks","Quarterly portfolio analysis","Contract negotiation","Business development",{"id":107,"slug":108,"title":109,"raw_title":11,"is_featured":12,"company":110,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":113,"processed_country_iso_code_gmaps":115,"processed_home_office":20,"processed_salary_min":117,"processed_salary_max":118,"processed_salary_currency":119,"processed_salary_source":24,"processed_working_hours":120,"processed_employment_types":27,"processed_it_skills":121,"processed_it_skills_labels":122,"processed_job_expertise_skills":131,"processed_job_expertise_skills_labels":132,"max_cpc":41,"actual_cpc":41},98976,"senior-machine-learning-engineer-the-toronto-dominion-bank-canada","Senior Machine Learning Engineer",{"name":111,"slug":112,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[114],"Toronto",[116],"CA",170000,250000,"CAD",[26],{"c":29,"c++":29,"jax":29,"java":29,"python":33,"pytorch":29,"langgraph":29,"tensorflow":29,"gpu computing":29},[31,123,124,125,126,127,128,129,130],"Java","C","C++","PyTorch","TensorFlow","JAX","LangGraph","GPU Computing",{"api design":33,"deep learning":33,"generative ai":29,"responsible ai":29,"machine learning":33,"software engineering":33,"data-intensive software":29,"time series forecasting":29,"scalable system architecture":33},[133,134,135,136,137,138,139,140,141],"Machine Learning","Deep Learning","Generative AI","Time Series Forecasting","Responsible AI","Scalable System Architecture","Software Engineering","API Design","Data-Intensive Software",{"id":143,"slug":144,"title":145,"raw_title":11,"is_featured":12,"company":146,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":149,"processed_country_iso_code_gmaps":151,"processed_home_office":20,"processed_salary_min":153,"processed_salary_max":118,"processed_salary_currency":154,"processed_salary_source":24,"processed_working_hours":155,"processed_employment_types":27,"processed_it_skills":156,"processed_it_skills_labels":157,"processed_job_expertise_skills":162,"processed_job_expertise_skills_labels":163,"max_cpc":41,"actual_cpc":41},56329,"avp-group-investment-alm-analytics-fwd-group-management-holdings-limited","AVP, Group Investment (ALM Analytics)",{"name":147,"slug":148,"logo_url":11},"FWD Group Management Holdings Limited","fwd-group-management-holdings-limited",[150],"Hong Kong Island",[152],"HK",150000,"HKD",[26],{"r":29,"sql":29,"vba":29,"excel":29,"matlab":29,"python":29,"alm software":29},[31,158,159,62,63,160,161],"R","MATLAB","VBA","ALM software",{"ifrs":29,"solvency":29,"embedded value":29,"risk analytics":33,"stress testing":33,"economic capital":33,"scenario analysis":33,"hedging strategies":33,"insurance products":29,"financial modelling":33,"stochastic simulation":33,"portfolio optimization":33,"asset-liability management":33},[164,165,166,167,168,169,170,171,172,173,174,175,176],"Financial Modelling","Stochastic Simulation","Risk Analytics","Asset-Liability Management","Stress Testing","Scenario Analysis","Hedging Strategies","Portfolio Optimization","Economic Capital","IFRS","Solvency","Embedded Value","Insurance Products",{"id":178,"slug":179,"title":180,"raw_title":11,"is_featured":12,"company":181,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":185,"processed_country_iso_code_gmaps":187,"processed_home_office":54,"processed_salary_min":189,"processed_salary_max":190,"processed_salary_currency":191,"processed_salary_source":24,"processed_working_hours":192,"processed_employment_types":27,"processed_it_skills":193,"processed_it_skills_labels":194,"processed_job_expertise_skills":200,"processed_job_expertise_skills_labels":201,"max_cpc":41,"actual_cpc":41},73685,"data-engineer-ibm-cognos-ing-hubs-bv-philippine-branch","Data Engineer (IBM Cognos)",{"name":182,"slug":183,"logo_url":184},"ING Hubs B.V. Philippine Branch","ing-hubs-bv-philippine-branch","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[186],"Makati City",[188],"PH",600000,1200000,"PHP",[26],{"etl":33,"sql":33,"python":60,"power bi":33,"ibm cognos":33,"ibm datastage":33,"relational database management systems (rdbms)":33},[195,196,63,197,198,31,199],"IBM Cognos","Power BI","IBM DataStage","ETL","Relational Database Management Systems (RDBMS)",{"reporting":33,"data quality":33,"data storage":33,"data modeling":33,"data ingestion":33,"dashboard design":33,"data warehousing":33,"data transformation":33,"process improvement":29,"predictive analytics":60,"statistical modeling":60,"business intelligence":33},[202,203,204,205,206,207,208,209,210,211,212,213],"Data Warehousing","Data Quality","Business Intelligence","Data Modeling","Data Ingestion","Data Transformation","Data Storage","Dashboard Design","Reporting","Predictive Analytics","Statistical Modeling","Process Improvement",{"id":215,"slug":216,"title":217,"raw_title":11,"is_featured":12,"company":218,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":221,"processed_country_iso_code_gmaps":223,"processed_home_office":20,"processed_salary_min":224,"processed_salary_max":225,"processed_salary_currency":154,"processed_salary_source":24,"processed_working_hours":226,"processed_employment_types":27,"processed_it_skills":227,"processed_it_skills_labels":228,"processed_job_expertise_skills":278,"processed_job_expertise_skills_labels":279,"max_cpc":41,"actual_cpc":41},65561,"manager-software-design-engineer-sun-life-hong-kong-limited","Manager, Software Design Engineer",{"name":219,"slug":220,"logo_url":11},"Sun Life Hong Kong Limited","sun-life-hong-kong-limited",[222],"Kowloon",[152],700000,1000000,[26],{"v0":29,"aws":29,"css":33,"swr":29,"bolt":29,"html":33,"azure":29,"cline":33,"d3.js":29,"figma":33,"flask":29,"redis":29,"cursor":33,"docker":29,"nestjs":29,"python":29,"vercel":29,"vue.js":29,"express":29,"fastapi":29,"lovable":29,"mongodb":29,"next.js":33,"node.js":29,"nuxt.js":29,"zustand":29,"chart.js":29,"radix ui":29,"react.js":33,"recharts":29,"langchain":29,"rest apis":29,"shadcn\u002Fui":29,"google api":29,"javascript":33,"llamaindex":29,"openai api":29,"postgresql":29,"typescript":33,"websockets":29,"claude code":33,"css modules":29,"material ui":29,"tailwind css":33,"anthropic api":29,"redux toolkit":29,"vercel ai sdk":29,"github copilot":33,"tanstack query":29,"server-sent events":29},[229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,31,268,269,270,271,272,273,274,275,276,277],"React.js","Next.js","Vue.js","Nuxt.js","TypeScript","JavaScript","HTML","CSS","Tailwind CSS","CSS Modules","shadcn\u002Fui","Material UI","Radix UI","Zustand","Redux Toolkit","TanStack Query","SWR","WebSockets","Server-Sent Events","Recharts","D3.js","Chart.js","Figma","Cursor","GitHub Copilot","Claude Code","Cline","v0","Bolt","Lovable","OpenAI API","Anthropic API","Google API","Vercel AI SDK","LangChain","LlamaIndex","Node.js","Express","NestJS","FastAPI","Flask","PostgreSQL","MongoDB","Redis","Vercel","AWS","Azure","Docker","REST APIs",{"product design":33,"api integration":29,"cloud deployment":29,"data persistence":29,"visual hierarchy":33,"rapid prototyping":33,"responsive design":33,"usability testing":33,"interaction design":33,"user journey mapping":33,"regulatory compliance":29,"ai product integration":33,"ai interaction patterns":33,"information architecture":33,"insurance domain knowledge":29,"lightweight backend development":29,"enterprise application development":29,"financial services domain knowledge":29},[280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297],"Product Design","Rapid Prototyping","User Journey Mapping","Interaction Design","Information Architecture","Usability Testing","Responsive Design","Visual Hierarchy","AI Product Integration","AI Interaction Patterns","Lightweight Backend Development","Data Persistence","Cloud Deployment","API Integration","Enterprise Application Development","Insurance Domain Knowledge","Financial Services Domain Knowledge","Regulatory Compliance",{"id":299,"slug":300,"title":301,"raw_title":11,"is_featured":12,"company":302,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":305,"processed_country_iso_code_gmaps":306,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":154,"processed_salary_source":24,"processed_working_hours":307,"processed_employment_types":27,"processed_it_skills":308,"processed_it_skills_labels":309,"processed_job_expertise_skills":322,"processed_job_expertise_skills_labels":323,"max_cpc":41,"actual_cpc":41},61574,"senior-it-support-engineer-bank-of-singapore-limited-hong-kong-branch","Senior IT Support Engineer",{"name":303,"slug":304,"logo_url":11},"Bank of Singapore Limited (Hong Kong Branch)","bank-of-singapore-limited-hong-kong-branch",[],[152],[26],{"jboss":33,"linux":33,"oracle":33,"python":33,"weblogic":33,"control-m":33,"java\u002Fj2ee":33,"postgresql":33,"sql server":33,"ai ecosystems":29,"microservices":33,"microsoft .net":33,"windows server":33,"web development frameworks":33},[310,311,312,31,313,314,270,315,316,317,318,319,320,321],"Java\u002FJ2EE","Microsoft .NET","Web Development Frameworks","SQL Server","Oracle","Linux","Windows Server","Control-M","WebLogic","JBoss","Microservices","AI Ecosystems",{"testing":29,"training":29,"certificates":29,"cryptography":29,"cyber defence":29,"sla evaluation":29,"risk management":29,"vendor management":29,"problem management":33,"release management":29,"application support":33,"incident management":33,"technical architecture":29,"front office initiatives":29,"wealth management products":29},[324,325,326,327,328,329,330,331,332,333,334,335,336,337,338],"Application Support","Incident Management","Problem Management","Risk Management","Wealth Management Products","Front Office Initiatives","Vendor Management","SLA Evaluation","Training","Release Management","Testing","Technical Architecture","Cyber Defence","Cryptography","Certificates",{"id":340,"slug":341,"title":342,"raw_title":11,"is_featured":12,"company":343,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":346,"processed_country_iso_code_gmaps":348,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":350,"processed_salary_currency":351,"processed_salary_source":24,"processed_working_hours":352,"processed_employment_types":27,"processed_it_skills":353,"processed_it_skills_labels":354,"processed_job_expertise_skills":365,"processed_job_expertise_skills_labels":366,"max_cpc":41,"actual_cpc":41},67203,"lead-software-engineer-aws-hartford-global-services-private-limited","Lead Software Engineer - AWS",{"name":344,"slug":345,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[347],"Hyderabad",[349],"IN",130000,"USD",[26],{"aws":33,"git":29,"jira":29,"kafka":60,"rally":29,"python":33,"splunk":29,"jenkins":29,"sns\u002Fsqs":29,"terraform":29,"cloudwatch":29,"cloudformation":29},[274,31,355,356,357,358,359,360,361,362,363,364],"Jenkins","Git","Terraform","CloudFormation","Kafka","SNS\u002FSQS","CloudWatch","Splunk","Jira","Rally",{"ci\u002Fcd":33,"api design":29,"code review":29,"amazon connect":33,"ivr development":33,"test automation":29,"agile methodologies":33,"root cause analysis":29,"serverless computing":33,"telephony integration":33,"infrastructure as code":29,"event-driven architecture":29,"microservices architecture":29,"contact center technologies":33},[367,368,369,370,371,372,373,374,140,38,375,376,377,378],"Contact Center Technologies","Amazon Connect","IVR Development","Telephony Integration","Agile Methodologies","CI\u002FCD","Microservices Architecture","Serverless Computing","Code Review","Test Automation","Event-Driven Architecture","Infrastructure as Code",{"id":380,"slug":381,"title":382,"raw_title":11,"is_featured":12,"company":383,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":386,"processed_country_iso_code_gmaps":388,"processed_home_office":20,"processed_salary_min":389,"processed_salary_max":390,"processed_salary_currency":391,"processed_salary_source":24,"processed_working_hours":392,"processed_employment_types":27,"processed_it_skills":393,"processed_it_skills_labels":394,"processed_job_expertise_skills":398,"processed_job_expertise_skills_labels":399,"max_cpc":41,"actual_cpc":41},53032,"senior-engineer-network-engineering-0156-ares-operations-india-private-limited","Senior Engineer, Network Engineering",{"name":384,"slug":385,"logo_url":11},"Ares Operations India Private Limited","ares-operations-india-private-limited",[387],"Mumbai",[349],2000000,4000000,"INR",[26],{"git":33,"jira":29,"azure":29,"ci\u002Fcd":33,"github":33,"gitlab":33,"python":29,"terraform":33,"kubernetes":33},[31,356,395,396,372,397,357,275,363],"GitHub","GitLab","Kubernetes",{"l3 support":33,"agile methodologies":33,"network engineering":33,"software engineering":33,"infrastructure deployment":33},[400,139,401,402,371],"Network Engineering","Infrastructure Deployment","L3 Support",{"id":404,"slug":405,"title":406,"raw_title":11,"is_featured":12,"company":407,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":410,"processed_country_iso_code_gmaps":411,"processed_home_office":20,"processed_salary_min":413,"processed_salary_max":414,"processed_salary_currency":415,"processed_salary_source":24,"processed_working_hours":416,"processed_employment_types":27,"processed_it_skills":417,"processed_it_skills_labels":418,"processed_job_expertise_skills":420,"processed_job_expertise_skills_labels":421,"max_cpc":41,"actual_cpc":41},67895,"avp-risk-analytics-sme-banking-2501-uob-thai-public-company-limited","AVP, Risk Analytics (SME Banking)",{"name":408,"slug":409,"logo_url":11},"UOB (Thai) Public Company Limited","uob-thai-public-company-limited",[],[412],"TH",50000,70000,"THB",[26],{"r":33,"sas":33,"sql":33,"python":33,"power bi":33},[419,63,31,196,158],"SAS",{"data analysis":33,"risk modelling":33,"dashboard reporting":29,"portfolio management":33,"credit risk analytics":33,"data quality management":29,"regulatory requirements":29},[422,423,424,425,426,427,428],"Credit Risk Analytics","Portfolio Management","Risk Modelling","Data Analysis","Data Quality Management","Regulatory Requirements","Dashboard Reporting",{"id":430,"slug":431,"title":432,"raw_title":11,"is_featured":12,"company":433,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":436,"processed_country_iso_code_gmaps":438,"processed_home_office":20,"processed_salary_min":440,"processed_salary_max":350,"processed_salary_currency":351,"processed_salary_source":24,"processed_working_hours":441,"processed_employment_types":27,"processed_it_skills":442,"processed_it_skills_labels":443,"processed_job_expertise_skills":451,"processed_job_expertise_skills_labels":452,"max_cpc":41,"actual_cpc":41},82902,"assistant-vice-president-6301-db-usa-core-corporation-5","Assistant Vice President",{"name":434,"slug":435,"logo_url":11},"6301 DB USA Core Corporation","6301-db-usa-core-corporation",[437],"Jacksonville",[439],"US",125299,[26],{"sql":29,"java":29,"yaml":29,"prime":29,"mantas":29,"python":29,"actimize":29,"weblogic":29,"kubernetes":29,"servicenow":29,"red hat linux\u002Funix":29,"google cloud platform (gcp)":29},[31,123,63,444,445,397,446,447,318,448,449,450],"YAML","Google Cloud Platform (GCP)","ServiceNow","Red Hat Linux\u002FUnix","Actimize","Prime","Mantas",{"log parsing":29,"performance tuning":29,"production support":33,"system diagnostics":29,"root cause analysis":29,"itil-based frameworks":29,"application compliance":29,"transaction monitoring":29,"disaster recovery exercises":29,"integration issue resolution":29,"process and memory management":29},[453,454,455,38,456,457,458,459,460,461,462],"ITIL-based frameworks","Disaster Recovery Exercises","Production Support","Transaction Monitoring","Application Compliance","System Diagnostics","Log Parsing","Process and Memory Management","Performance Tuning","Integration Issue Resolution",{"id":464,"slug":465,"title":466,"raw_title":11,"is_featured":12,"company":467,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":470,"processed_country_iso_code_gmaps":472,"processed_home_office":20,"processed_salary_min":473,"processed_salary_max":474,"processed_salary_currency":351,"processed_salary_source":24,"processed_working_hours":475,"processed_employment_types":27,"processed_it_skills":476,"processed_it_skills_labels":477,"processed_job_expertise_skills":484,"processed_job_expertise_skills_labels":485,"max_cpc":41,"actual_cpc":41},52989,"staff-engineer-software-engineeringnbsp-0200-ares-operations-llc","Staff Engineer, Software Engineering",{"name":468,"slug":469,"logo_url":11},"Ares Operations LLC","ares-operations-llc",[471],"Los Angeles",[439],160000,180000,[26],{"c#":29,"go":29,"java":29,"jira":29,"ci\u002Fcd":29,"linux":29,"github":29,"gitlab":29,"python":29,"windows":29,"terraform":29,"kubernetes":29,"microsoft azure":29,"javascript\u002Ftypescript":29,"monitoring and observability tools":29},[123,478,31,479,480,481,395,396,372,397,357,482,315,483,363],"C#","JavaScript\u002FTypeScript","Go","Microsoft Azure","Monitoring and observability tools","Windows",{"devops":33,"logging":33,"alerting":33,"monitoring":33,"observability":33,"ci\u002Fcd practices":33,"disaster recovery":33,"agile methodologies":33,"business continuity":33,"incident resolution":33,"platform operations":33,"platform resiliency":33,"system architecture":33,"cloud infrastructure":33,"software engineering":33,"distributed applications":33,"infrastructure automation":33,"level 3 production support":33,"emerging technologies evaluation":33},[139,486,487,488,489,490,371,491,492,493,494,495,496,497,498,499,500,501,502],"Cloud Infrastructure","Infrastructure Automation","CI\u002FCD Practices","Platform Operations","Distributed Applications","DevOps","Level 3 Production Support","Incident Resolution","Monitoring","Logging","Alerting","Observability","System Architecture","Disaster Recovery","Business Continuity","Platform Resiliency","Emerging Technologies Evaluation",{"id":504,"slug":505,"title":506,"raw_title":11,"is_featured":12,"company":507,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":510,"processed_country_iso_code_gmaps":512,"processed_home_office":54,"processed_salary_min":514,"processed_salary_max":515,"processed_salary_currency":516,"processed_salary_source":24,"processed_working_hours":517,"processed_employment_types":27,"processed_it_skills":518,"processed_it_skills_labels":519,"processed_job_expertise_skills":525,"processed_job_expertise_skills_labels":526,"max_cpc":41,"actual_cpc":41},60001,"senior-research-specialist-power-pol007-refinitiv-poland-spoka-z-oo","Senior Research Specialist, Power",{"name":508,"slug":509,"logo_url":11},"Refinitiv Poland Spółka z o.o.","refinitiv-poland-spoka-z-oo",[511],"Gdynia",[513],"PL",119200,188400,"PLN",[26],{"r":29,"apis":29,"matlab":29,"python":33,"databases":29,"data pipelines":29,"machine learning":33,"time-series analysis":33,"cloud-based analytical environments":29},[31,158,159,133,520,521,522,523,524],"Time-series Analysis","Data Pipelines","APIs","Databases","Cloud-based Analytical Environments",{"meteorology":29,"data science":33,"energy systems":29,"predictive modelling":33,"power market analysis":33,"statistical modelling":33,"renewables forecasting":33,"geospatial data analysis":29,"weather-driven energy dynamics":33,"fundamental supply-and-demand modelling":33},[527,528,529,530,531,532,533,534,535,536],"Fundamental Supply-and-Demand Modelling","Power Market Analysis","Renewables Forecasting","Weather-driven Energy Dynamics","Statistical Modelling","Predictive Modelling","Geospatial Data Analysis","Data Science","Energy Systems","Meteorology",{"id":538,"slug":539,"title":540,"raw_title":11,"is_featured":12,"company":541,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":544,"processed_country_iso_code_gmaps":546,"processed_home_office":20,"processed_salary_min":85,"processed_salary_max":55,"processed_salary_currency":191,"processed_salary_source":24,"processed_working_hours":547,"processed_employment_types":27,"processed_it_skills":548,"processed_it_skills_labels":549,"processed_job_expertise_skills":552,"processed_job_expertise_skills_labels":553,"max_cpc":41,"actual_cpc":41},59967,"senior-data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch","Senior Data Scientist",{"name":542,"slug":543,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[545],"Taguig",[188],[26],{"aws":29,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"mlops":29,"python":33,"pytorch":33,"tensorflow":33,"scikit-learn":33},[31,127,126,550,356,372,63,274,275,551],"Scikit-learn","MLOps",{"scraping":29,"web crawling":29,"deep learning":33,"data analytics":33,"data pipelines":29,"product vision":33,"data management":29,"coding standards":29,"entity extraction":29,"prompt engineering":33,"feature engineering":33,"predictive modelling":33,"statistical analysis":33,"large language models":33,"natural language processing":33,"retrieval-augmented generation":33},[554,555,556,557,558,134,559,560,532,561,562,563,564,521,565,566],"Data Analytics","Natural Language Processing","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Statistical Analysis","Feature Engineering","Web Crawling","Scraping","Entity Extraction","Data Management","Product Vision","Coding Standards",{"id":568,"slug":569,"title":570,"raw_title":11,"is_featured":12,"company":571,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":574,"processed_country_iso_code_gmaps":575,"processed_home_office":54,"processed_salary_min":55,"processed_salary_max":474,"processed_salary_currency":351,"processed_salary_source":24,"processed_working_hours":576,"processed_employment_types":27,"processed_it_skills":577,"processed_it_skills_labels":578,"processed_job_expertise_skills":592,"processed_job_expertise_skills_labels":593,"max_cpc":41,"actual_cpc":41},65697,"client-and-marketing-analytics-partner-asia-sun-life-assurance-company-of-canada-regional-office","Client and Marketing Analytics Partner, Asia",{"name":572,"slug":573,"logo_url":11},"Sun Life Assurance Company of Canada, Regional Office","sun-life-assurance-company-of-canada-regional-office",[150],[152],[26],{"aws":60,"sql":29,"vba":60,"azure":60,"excel":33,"linux":60,"python":29,"marketo":29,"tableau":33,"meta ads":29,"power bi":33,"sprinklr":60,"qualtrics":29,"google ads":29,"salesforce":29,"windsor.ai":29,"adobe target":60,"linkedin ads":29,"supermetrics":29,"microsoft ads":29,"adobe analytics":29},[579,196,63,31,160,62,580,581,582,583,584,585,586,587,588,589,590,591,274,275,315],"Tableau","Salesforce","Adobe Analytics","Marketo","Adobe Target","Google Ads","Meta Ads","LinkedIn Ads","Microsoft Ads","Qualtrics","Sprinklr","Supermetrics","Windsor.ai",{"etl":29,"agentic ai":29,"consulting":29,"data lakes":29,"customer 360":29,"next-best-ad":29,"segmentation":29,"brand management":29,"client analytics":33,"data integration":29,"data warehousing":29,"next-best-action":29,"digital marketing":33,"journey analytics":29,"next-best-channel":29,"next-best-message":29,"data visualization":33,"insurance knowledge":33,"marketing analytics":33,"regional experience":29,"workflow automation":29,"ai-enabled analytics":33,"business intelligence":33,"campaign optimization":33,"performance management":33,"lead generation measurement":33,"financial services knowledge":33,"online-to-offline conversion":33},[594,595,204,596,597,598,599,600,601,602,198,202,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618],"Marketing Analytics","Client Analytics","Data Visualization","Performance Management","Brand Management","Digital Marketing","Lead Generation Measurement","Online-to-Offline Conversion","Data Integration","Data Lakes","AI-enabled Analytics","Agentic AI","Workflow Automation","Next-Best-Action","Next-Best-Message","Next-Best-Ad","Next-Best-Channel","Segmentation","Customer 360","Journey Analytics","Campaign Optimization","Insurance Knowledge","Financial Services Knowledge","Consulting","Regional Experience",{"id":620,"slug":621,"title":622,"raw_title":11,"is_featured":12,"company":623,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":624,"processed_country_iso_code_gmaps":625,"processed_home_office":54,"processed_salary_min":413,"processed_salary_max":414,"processed_salary_currency":191,"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":41,"actual_cpc":41},59957,"senior-associate-business-operations-pts-phl006-refinitiv-asia-pte-ltd-philippine-branch","Senior Associate, Business Operations, PTS",{"name":542,"slug":543,"logo_url":11},[545],[188],[26],{"sql":60,"jira":60,"excel":29,"python":60},[62,31,63,363],{"qa testing":60,"data analysis":29,"otc derivatives":29,"trade lifecycle":29,"client onboarding":60,"regulatory reporting":60},[631,632,425,633,634,635],"OTC Derivatives","Trade Lifecycle","QA Testing","Client Onboarding","Regulatory Reporting",{"id":637,"slug":638,"title":639,"raw_title":11,"is_featured":12,"company":640,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":643,"processed_country_iso_code_gmaps":645,"processed_home_office":20,"processed_salary_min":646,"processed_salary_max":647,"processed_salary_currency":351,"processed_salary_source":24,"processed_working_hours":648,"processed_employment_types":27,"processed_it_skills":649,"processed_it_skills_labels":650,"processed_job_expertise_skills":654,"processed_job_expertise_skills_labels":655,"max_cpc":41,"actual_cpc":41},59912,"senior-software-engineer-quantitative-research-london-stock-exchange-group-holdings-inc","Senior Software Engineer, Quantitative Research",{"name":641,"slug":642,"logo_url":11},"London Stock Exchange Group Holdings Inc","london-stock-exchange-group-holdings-inc",[644],"New York",[439],192400,320600,[26],{"aws":29,"git":29,"sql":33,"ci\u002Fcd":29,"polars":33,"python":33,"pyarrow":33,"llm apis":29},[31,651,652,63,274,356,372,653],"Polars","PyArrow","LLM APIs",{"api design":29,"data engineering":33,"index methodologies":29,"investment research":29,"quantitative finance":33,"software architecture":33,"financial data analysis":33},[656,657,658,140,659,660,661],"Quantitative Finance","Financial Data Analysis","Software Architecture","Data Engineering","Index Methodologies","Investment Research",{"id":663,"slug":664,"title":665,"raw_title":11,"is_featured":12,"company":666,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":669,"processed_country_iso_code_gmaps":671,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":350,"processed_salary_currency":673,"processed_salary_source":24,"processed_working_hours":674,"processed_employment_types":27,"processed_it_skills":675,"processed_it_skills_labels":676,"processed_job_expertise_skills":683,"processed_job_expertise_skills_labels":684,"max_cpc":41,"actual_cpc":41},59852,"lead-software-engineer-cyber-security-controls-automation-lseg-employment-services-limited","Lead Software Engineer, Cyber Security Controls Automation",{"name":667,"slug":668,"logo_url":11},"LSEG Employment Services Limited","lseg-employment-services-limited",[670],"London",[672],"GB","GBP",[26],{"go":33,"edr":29,"iam":29,"rust":33,"siem":29,"python":33,"rest apis":33,"javascript":33,"typescript":33,"cloud technologies":33,"vulnerability management":29},[677,233,31,480,234,277,678,679,680,681,682],"Rust","Cloud Technologies","SIEM","Vulnerability Management","IAM","EDR",{"code review":33,"data analysis":33,"cyber security":33,"policy as code":29,"control testing":33,"risk management":33,"software engineering":33,"regulated environments":29,"technical documentation":33,"audit evidence collection":33},[685,686,327,687,688,425,139,375,689,690],"Cyber Security","Control Testing","Audit Evidence Collection","Policy as Code","Technical Documentation","Regulated Environments",{"id":692,"slug":693,"title":694,"raw_title":11,"is_featured":12,"company":695,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":698,"processed_country_iso_code_gmaps":700,"processed_home_office":54,"processed_salary_min":22,"processed_salary_max":55,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":702,"processed_employment_types":27,"processed_it_skills":703,"processed_it_skills_labels":704,"processed_job_expertise_skills":713,"processed_job_expertise_skills_labels":714,"max_cpc":41,"actual_cpc":723},58404,"remote-access-engineer-citrix-netscaler-amp-zscaler-private-access-100-fmd-julius-baer-services-spain-slu","Remote Access Engineer (Citrix NetScaler & Zscaler Private Access) 100% (f\u002Fm\u002Fd)",{"name":696,"slug":697,"logo_url":11},"Julius Baer Services (Spain) S.L.U.","julius-baer-services-spain-slu",[699],"Madrid",[701],"ES",[26],{"bash":29,"python":29,"rest apis":29,"powershell":29,"active directory":29,"citrix nitro api":29,"citrix netscaler adc":33,"citrix netscaler gateway":33,"zscaler private access (zpa)":29,"microsoft entra id (azure ad)":29},[705,706,707,708,709,710,31,711,277,712],"Citrix NetScaler ADC","Citrix NetScaler Gateway","Zscaler Private Access (ZPA)","Microsoft Entra ID (Azure AD)","Active Directory","PowerShell","Bash","Citrix Nitro API",{"ssl-vpn":33,"change management":29,"endpoint security":29,"high availability":33,"identity management":29,"incident management":29,"secure remote access":33,"regulatory compliance":29,"zero trust network access (ztna)":29,"multi-factor authentication (mfa)":33},[715,716,717,718,719,720,721,722,325,297],"Secure Remote Access","Multi-Factor Authentication (MFA)","Identity Management","Endpoint Security","Zero Trust Network Access (ZTNA)","SSL-VPN","High Availability","Change Management",0.5,{"industry":725,"employment_type":812,"expertise_skills":828,"it_skills":904,"salary_currency":983,"processed_working_hours":1048},[726,730,734,738,742,746,750,754,758,762,766,770,773,777,780,784,786,789,793,797,800,803,806,809],{"key":727,"label":728,"count":729},"financial services","Financial Services",938,{"key":731,"label":732,"count":733},"insurance","Insurance",550,{"key":735,"label":736,"count":737},"banking","Banking",490,{"key":739,"label":740,"count":741},"financial markets infrastructure","Financial Markets Infrastructure",240,{"key":743,"label":744,"count":745},"data","Data",139,{"key":747,"label":748,"count":749},"data provider","Data Provider",107,{"key":751,"label":752,"count":753},"asset management","Asset Management",106,{"key":755,"label":756,"count":757},"financial technology","Financial Technology",33,{"key":759,"label":760,"count":761},"wealth management","Wealth Management",22,{"key":763,"label":764,"count":765},"digital banking","Digital Banking",15,{"key":767,"label":768,"count":769},"property","Property",11,{"key":771,"label":772,"count":769},"casualty insurance","Casualty Insurance",{"key":774,"label":775,"count":776},"reinsurance","Reinsurance",10,{"key":778,"label":779,"count":776},"alternative investments","Alternative Investments",{"key":781,"label":782,"count":783},"financial advisory","Financial Advisory",9,{"key":785,"label":327,"count":783},"risk management",{"key":787,"label":788,"count":783},"financial market infrastructure","Financial Market Infrastructure",{"key":790,"label":791,"count":792},"technology solutions","Technology Solutions",7,{"key":794,"label":795,"count":796},"alternative asset management","Alternative Asset Management",5,{"key":798,"label":799,"count":33},"claims management","Claims Management",{"key":801,"label":802,"count":33},"private banking","Private Banking",{"key":804,"label":805,"count":29},"private equity","Private Equity",{"key":807,"label":808,"count":29},"vehicle leasing","Vehicle Leasing",{"key":810,"label":811,"count":29},"fleet management","Fleet Management",[813,816,820,824],{"key":27,"label":814,"count":815},"PERMANENT",1900,{"key":817,"label":818,"count":819},"student","STUDENT",119,{"key":821,"label":822,"count":823},"temporary","TEMPORARY",29,{"key":825,"label":826,"count":827},"contract","CONTRACT",16,[829,832,835,839,843,846,849,853,856,859,863,866,868,870,873,876,879,883,886,889,892,895,897,900],{"key":830,"label":425,"slug":830,"count":831},"data-analysis",345,{"key":833,"label":327,"slug":833,"count":834},"risk-management",327,{"key":836,"label":837,"slug":836,"count":838},"data-governance","Data Governance",223,{"key":840,"label":841,"slug":840,"count":842},"project-management","Project management",210,{"key":844,"label":133,"slug":844,"count":845},"machine-learning",203,{"key":847,"label":297,"slug":847,"count":848},"regulatory-compliance",200,{"key":850,"label":851,"slug":850,"count":852},"automation","Automation",199,{"key":854,"label":659,"slug":854,"count":855},"data-engineering",161,{"key":857,"label":38,"slug":857,"count":858},"root-cause-analysis",141,{"key":860,"label":861,"slug":860,"count":862},"devops","Devops",134,{"key":864,"label":325,"slug":864,"count":865},"incident-management",132,{"key":867,"label":213,"slug":867,"count":865},"process-improvement",{"key":869,"label":371,"slug":869,"count":865},"agile-methodologies",{"key":871,"label":205,"slug":871,"count":872},"data-modeling",129,{"key":874,"label":596,"slug":874,"count":875},"data-visualization",128,{"key":877,"label":139,"slug":877,"count":878},"software-engineering",123,{"key":880,"label":881,"slug":880,"count":882},"compliance","Compliance",121,{"key":884,"label":497,"slug":884,"count":885},"observability",112,{"key":887,"label":534,"slug":887,"count":888},"data-science",101,{"key":890,"label":722,"slug":890,"count":891},"change-management",98,{"key":893,"label":204,"slug":893,"count":894},"business-intelligence",94,{"key":896,"label":423,"slug":896,"count":894},"portfolio-management",{"key":898,"label":899,"slug":898,"count":894},"model-validation","Model Validation",{"key":901,"label":902,"slug":901,"count":903},"stakeholder-management","Stakeholder Management",93,[905,907,910,914,918,922,925,929,933,936,939,942,945,948,951,955,959,963,967,970,971,973,976,979],{"key":906,"label":31,"slug":906,"count":5},"python",{"key":908,"label":63,"slug":908,"count":909},"sql",1141,{"key":911,"label":912,"slug":911,"count":913},"aws","Aws",427,{"key":915,"label":916,"slug":915,"count":917},"ms-excel","MS Excel",409,{"key":919,"label":920,"slug":919,"count":921},"cicd","Ci\u002FCd",377,{"key":923,"label":123,"slug":923,"count":924},"java",355,{"key":926,"label":927,"slug":926,"count":928},"ms-powerbi","MS PowerBI",328,{"key":930,"label":931,"slug":930,"count":932},"ms-azure","MS Azure",320,{"key":934,"label":397,"slug":934,"count":935},"kubernetes",291,{"key":937,"label":158,"slug":937,"count":938},"r",288,{"key":940,"label":356,"slug":940,"count":941},"git",265,{"key":943,"label":357,"slug":943,"count":944},"terraform",250,{"key":946,"label":276,"slug":946,"count":947},"docker",231,{"key":949,"label":579,"slug":949,"count":950},"tableau",191,{"key":952,"label":953,"slug":952,"count":954},"powershell","Powershell",179,{"key":956,"label":957,"slug":956,"count":958},"sas","Sas",159,{"key":960,"label":961,"slug":960,"count":962},"javascript","Javascript",146,{"key":964,"label":965,"slug":964,"count":966},"vba","Vba",144,{"key":968,"label":355,"slug":968,"count":969},"jenkins",140,{"key":844,"label":133,"slug":844,"count":745},{"key":972,"label":315,"slug":972,"count":745},"linux",{"key":974,"label":975,"slug":974,"count":745},"snowflake","Snowflake",{"key":977,"label":478,"slug":977,"count":978},"c",138,{"key":980,"label":981,"slug":980,"count":982},"gcp","Gcp",133,[984,986,988,990,992,995,996,999,1001,1003,1004,1005,1008,1011,1012,1014,1016,1019,1021,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046],{"key":351,"label":351,"count":985},704,{"key":23,"label":23,"count":987},342,{"key":391,"label":391,"count":989},229,{"key":119,"label":119,"count":991},173,{"key":993,"label":993,"count":994},"SGD",153,{"key":673,"label":673,"count":962},{"key":997,"label":997,"count":998},"MYR",85,{"key":191,"label":191,"count":1000},52,{"key":154,"label":154,"count":1002},37,{"key":516,"label":516,"count":757},{"key":56,"label":56,"count":823},{"key":1006,"label":1006,"count":1007},"MXN",18,{"key":1009,"label":1009,"count":1010},"BRL",14,{"key":415,"label":415,"count":769},{"key":1013,"label":1013,"count":783},"AUD",{"key":1015,"label":1015,"count":783},"VND",{"key":1017,"label":1017,"count":1018},"CNY",8,{"key":1020,"label":1020,"count":1018},"TRY",{"key":1022,"label":1022,"count":1023},"PEN",6,{"key":1025,"label":1025,"count":796},"TWD",{"key":1027,"label":1027,"count":796},"LKR",{"key":1029,"label":1029,"count":796},"JPY",{"key":1031,"label":1031,"count":33},"HUF",{"key":1033,"label":1033,"count":33},"COP",{"key":1035,"label":1035,"count":29},"RON",{"key":1037,"label":1037,"count":60},"IDR",{"key":1039,"label":1039,"count":41},"MZN",{"key":1041,"label":1041,"count":41},"VES",{"key":1043,"label":1043,"count":41},"CLP",{"key":1045,"label":1045,"count":41},"KRW",{"key":1047,"label":1047,"count":41},"CZK",[1049,1051],{"key":26,"label":26,"count":1050},2078,{"key":58,"label":58,"count":1052},38,{"total":41,"jobs":1054},[]]