[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-sql-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fsql?page=80":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fsql?page=80":680,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fsql?page=80":1017},{},{"total":5,"jobs":6},1736,[7,56,123,174,204,234,262,286,334,366,388,424,444,471,492,508,540,589,622,646],{"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":37,"processed_job_expertise_skills_labels":39,"max_cpc":55,"actual_cpc":55},49759,"pgim-business-systems-analyst-front-office-investment-solutions-pgim-inc","PGIM - Business Systems Analyst – Front Office Investment Solutions",null,false,{"name":14,"slug":15,"logo_url":11},"PGIM, Inc.","pgim-inc",[17],"Newark",[19],"US","hybrid",155000,185000,"USD","estimated",[26],"FULL_TIME","permanent",{"sql":29,"jira":30,"confluence":30,"bi reporting tools":30,"application lifecycle management":30},4,3,[32,33,34,35,36],"SQL","Jira","Confluence","BI Reporting Tools","Application Lifecycle Management",{"apis":38,"data mapping":30,"gap analysis":30,"agile delivery":30,"data governance":30,"ai\u002Fgenerative ai":30,"business analysis":29,"investment research":30,"portfolio analytics":30,"process improvement":29,"root cause analysis":29,"cloud-native platforms":38,"stakeholder management":29,"user acceptance testing":30,"fixed income instruments":29},2,[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54],"Business Analysis","Fixed Income Instruments","Data Governance","Process Improvement","Root Cause Analysis","User Acceptance Testing","Agile Delivery","AI\u002FGenerative AI","Portfolio Analytics","Investment Research","Cloud-native Platforms","APIs","Data Mapping","Gap Analysis","Stakeholder Management",1,{"id":57,"slug":58,"title":59,"raw_title":11,"is_featured":12,"company":60,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":63,"processed_country_iso_code_gmaps":65,"processed_home_office":66,"processed_salary_min":67,"processed_salary_max":68,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":69,"processed_employment_types":27,"processed_it_skills":70,"processed_it_skills_labels":71,"processed_job_expertise_skills":103,"processed_job_expertise_skills_labels":104,"max_cpc":55,"actual_cpc":55},60102,"senior-platform-engineer-devsecops-usa016-refinitiv-us-llc","Senior Platform Engineer - DevSecOps",{"name":61,"slug":62,"logo_url":11},"Refinitiv US LLC","refinitiv-us-llc",[64],"New York",[19],"onsite",113900,189900,[26],{"go":30,"rq":30,"aws":30,"git":30,"jwt":30,"sql":30,"azure":29,"ci\u002Fcd":29,"flask":30,"mysql":30,"nosql":30,"redis":30,"celery":30,"django":30,"docker":29,"oauth2":30,"python":29,"vue.js":30,"datadog":30,"fastapi":29,"graphql":30,"mongodb":30,"next.js":30,"react.js":30,"elk stack":30,"terraform":29,"kubernetes":29,"postgresql":30,"prometheus":30,"typescript":30,"openai apis":30,"github copilot":30},[72,73,74,75,76,77,78,79,80,32,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102],"Python","Go","FastAPI","Flask","Django","React.js","TypeScript","Next.js","Vue.js","NoSQL","PostgreSQL","MySQL","MongoDB","Redis","Azure","AWS","Terraform","Docker","Kubernetes","CI\u002FCD","Git","GraphQL","OAuth2","JWT","GitHub Copilot","OpenAI APIs","Datadog","Prometheus","ELK stack","Celery","RQ",{"cnapp":29,"devsecops":29,"code review":30,"wiz platform":29,"observability":30,"threat modeling":30,"agile development":30,"graphql api design":30,"restful api design":29,"event-driven systems":30,"software architecture":29,"infrastructure as code":29,"ai\u002Fml model integration":30,"internal developer tools":30,"microservices architecture":29,"secure software supply chain":30,"data structures and algorithms":29,"cloud-native application development":29},[105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122],"Cloud-native application development","DevSecOps","RESTful API design","GraphQL API design","Microservices architecture","Event-driven systems","AI\u002FML model integration","Threat modeling","Software architecture","Data structures and algorithms","Agile development","Code review","Wiz Platform","CNAPP","Infrastructure as Code","Observability","Secure software supply chain","Internal developer tools",{"id":124,"slug":125,"title":126,"raw_title":11,"is_featured":12,"company":127,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":130,"processed_country_iso_code_gmaps":132,"processed_home_office":66,"processed_salary_min":134,"processed_salary_max":135,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":136,"processed_employment_types":27,"processed_it_skills":137,"processed_it_skills_labels":138,"processed_job_expertise_skills":156,"processed_job_expertise_skills_labels":157,"max_cpc":55,"actual_cpc":55},75997,"senior-analyst-mufg-global-service-private-limited-3","Senior Analyst",{"name":128,"slug":129,"logo_url":11},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[131],"Bengaluru",[133],"IN",80000,120000,[26],{"db2":30,"sas":29,"sql":29,"agile":38,"oracle":30,"sas aml":30,"sas base":30,"sas grid":30,"sas viya":30,"waterfall":38,"sql loader":30,"sql server":30,"sas dataflux":30,"sas enterprise miner":30,"sas visual analytics":30,"unix shell scripting":30,"sas management console":30,"sas quality knowledge base":30},[139,32,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155],"SAS","Oracle","DB2","SQL Server","Unix shell scripting","SAS DataFlux","SAS Enterprise Miner","SAS Visual Analytics","SAS Management Console","SAS GRID","SAS AML","SAS VIYA","SQL Loader","SAS Base","SAS Quality Knowledge Base","Agile","Waterfall",{"system analysis":29,"entity resolution":30,"application design":29,"software development":29,"sas prep data creation":30,"unit test plans (utps)":29,"environment administration":30,"patch and upgrade advising":30,"software configuration plans":29,"data sourcing documents (dsds)":29,"detailed design documents (ddds)":29,"functional design documents (fdds)":29,"risk identification and escalation":30,"financial institution technology solutions":29,"sas alert generation process customization":30,"data extraction, transformation, and load (etl)":29},[158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173],"Software Development","Financial Institution Technology Solutions","System Analysis","Application Design","Functional Design Documents (FDDs)","Detailed Design Documents (DDDs)","Data Sourcing Documents (DSDs)","Unit Test Plans (UTPs)","Software Configuration Plans","Data Extraction, Transformation, and Load (ETL)","Entity Resolution","SAS Alert Generation Process Customization","SAS Prep Data Creation","Risk Identification and Escalation","Environment Administration","Patch and Upgrade Advising",{"id":175,"slug":176,"title":177,"raw_title":11,"is_featured":12,"company":178,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":181,"processed_country_iso_code_gmaps":183,"processed_home_office":20,"processed_salary_min":134,"processed_salary_max":185,"processed_salary_currency":186,"processed_salary_source":24,"processed_working_hours":187,"processed_employment_types":27,"processed_it_skills":188,"processed_it_skills_labels":189,"processed_job_expertise_skills":195,"processed_job_expertise_skills_labels":196,"max_cpc":55,"actual_cpc":55},47458,"senior-engineer-digital-distribution-amp-engagement-canada-ltd","Senior Engineer – Digital Distribution & Engagement",{"name":179,"slug":180,"logo_url":11},"Invesco Canada Ltd.","invesco-canada-ltd",[182],"Charlottetown",[184],"CA",85000,"CAD",[26],{"aws":29,"sql":29,"ci\u002Fcd":30,"github":30,"python":29,"ai tools":38,"bitbucket":30,"snowflake":29,"apache airflow":29},[87,190,32,72,191,192,193,91,194],"Apache Airflow","Snowflake","GitHub","Bitbucket","AI tools",{"etl\u002Felt":29,"data modeling":29,"data engineering":29,"data warehousing":29,"agile methodologies":30,"architecture documentation":30,"financial industry knowledge":30},[197,198,199,200,201,202,203],"Data Engineering","Data Modeling","Data Warehousing","ETL\u002FELT","Architecture Documentation","Agile Methodologies","Financial Industry Knowledge",{"id":205,"slug":206,"title":207,"raw_title":11,"is_featured":12,"company":208,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":211,"processed_country_iso_code_gmaps":213,"processed_home_office":66,"processed_salary_min":214,"processed_salary_max":215,"processed_salary_currency":216,"processed_salary_source":24,"processed_working_hours":217,"processed_employment_types":27,"processed_it_skills":218,"processed_it_skills_labels":219,"processed_job_expertise_skills":223,"processed_job_expertise_skills_labels":224,"max_cpc":55,"actual_cpc":55},53347,"associate-application-support-apollo-india-services-llp","Associate - Application Support",{"name":209,"slug":210,"logo_url":11},"Apollo India Services LLP","apollo-india-services-llp",[212],"Mumbai",[133],2000000,4000000,"INR",[26],{"r":30,"sql":30,"c\u002Fc++":30,"excel":30,"python":29},[72,220,32,221,222],"R","Excel","C\u002FC++",{"stress testing":29,"risk management":29,"model validation":30,"structured credit":29,"financial modeling":29,"derivatives pricing":29,"portfolio management":30,"quantitative analysis":29,"asset backed securities":29},[225,226,227,228,229,230,231,232,233],"Quantitative Analysis","Financial Modeling","Risk Management","Stress Testing","Derivatives Pricing","Structured Credit","Asset Backed Securities","Portfolio Management","Model Validation",{"id":235,"slug":236,"title":237,"raw_title":11,"is_featured":12,"company":238,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":241,"processed_country_iso_code_gmaps":243,"processed_home_office":66,"processed_salary_min":135,"processed_salary_max":245,"processed_salary_currency":246,"processed_salary_source":24,"processed_working_hours":247,"processed_employment_types":27,"processed_it_skills":248,"processed_it_skills_labels":249,"processed_job_expertise_skills":251,"processed_job_expertise_skills_labels":252,"max_cpc":55,"actual_cpc":55},52114,"vp-system-analyst-payment-united-overseas-bank-ltd","VP, System Analyst (Payment)",{"name":239,"slug":240,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[242],"Singapore",[244],"SG",180000,"SGD",[26],{"sql":30,"system monitoring tools":30},[32,250],"System Monitoring Tools",{"training":30,"data analysis":30,"documentation":30,"project planning":30,"incident management":30,"root cause analysis":30,"payment systems analysis":29,"payment schemes knowledge":29,"disaster recovery planning":30,"business continuity planning":30},[253,254,255,44,256,257,258,259,260,261],"Payment Systems Analysis","Payment Schemes Knowledge","Incident Management","Disaster Recovery Planning","Business Continuity Planning","Project Planning","Data Analysis","Documentation","Training",{"id":263,"slug":264,"title":265,"raw_title":11,"is_featured":12,"company":266,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":269,"processed_country_iso_code_gmaps":271,"processed_home_office":66,"processed_salary_min":273,"processed_salary_max":274,"processed_salary_currency":275,"processed_salary_source":24,"processed_working_hours":276,"processed_employment_types":27,"processed_it_skills":277,"processed_it_skills_labels":278,"processed_job_expertise_skills":279,"processed_job_expertise_skills_labels":280,"max_cpc":55,"actual_cpc":55},59953,"optimisation-services-business-operations-team-lead-phl006-refinitiv-asia-pte-ltd-philippine-branch","Optimisation Services Business Operations – Team Lead",{"name":267,"slug":268,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[270],"Taguig",[272],"PH",60000,90000,"PHP",[26],{"sql":38,"jira":38,"excel":30,"python":38},[221,72,32,33],{"qa testing":38,"data analysis":29,"client onboarding":30,"operational coordination":29,"investment banking knowledge":38,"financial products and derivatives":38},[281,282,259,283,284,285],"Operational Coordination","Client Onboarding","QA Testing","Investment Banking Knowledge","Financial Products and Derivatives",{"id":287,"slug":288,"title":289,"raw_title":11,"is_featured":12,"company":290,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":291,"processed_country_iso_code_gmaps":292,"processed_home_office":66,"processed_salary_min":293,"processed_salary_max":294,"processed_salary_currency":216,"processed_salary_source":24,"processed_working_hours":295,"processed_employment_types":27,"processed_it_skills":296,"processed_it_skills_labels":297,"processed_job_expertise_skills":318,"processed_job_expertise_skills_labels":319,"max_cpc":55,"actual_cpc":55},75903,"data-engineer-mufg-global-service-private-limited","Data Engineer",{"name":128,"slug":129,"logo_url":11},[131],[133],1500000,2500000,[26],{"etl":29,"ios":38,"rds":30,"sql":29,"sso":30,"jira":30,"saml":30,"linux":30,"spark":29,"cognos":30,"python":29,"splunk":30,"android":38,"aws dms":29,"tableau":30,"aws glue":29,"redshift":30,"amazon s3":29,"postgresql":29,"sql server":30,"data masking":30,"tokenization":30,"github copilot":30,"data encryption":30,"amazon quicksight":29,"aws transfer family":29},[298,72,299,82,300,301,302,303,304,32,305,306,307,142,308,309,96,33,310,311,312,313,314,315,316,317],"AWS Glue","Spark","Amazon S3","AWS DMS","AWS Transfer Family","Amazon QuickSight","ETL","Linux","RDS","Redshift","Cognos","Tableau","Splunk","SAML","SSO","Data Encryption","Data Masking","Tokenization","Android","iOS",{"kanban":29,"agile scrum":29,"data quality":29,"data modeling":29,"data security":29,"maker-checker":30,"bi development":29,"cloud migration":30,"database design":29,"data visualization":29,"performance tuning":29,"segregation of duties":30,"digital transformation":29,"user security concepts":30,"architecture frameworks":29},[320,321,198,322,323,324,325,326,327,328,329,330,331,332,333],"Database Design","Performance Tuning","BI Development","Data Security","Data Quality","Data Visualization","Digital Transformation","Architecture Frameworks","Cloud Migration","Agile Scrum","Kanban","User Security Concepts","Segregation of Duties","Maker-Checker",{"id":335,"slug":336,"title":337,"raw_title":11,"is_featured":12,"company":338,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":341,"processed_country_iso_code_gmaps":343,"processed_home_office":66,"processed_salary_min":345,"processed_salary_max":346,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":347,"processed_employment_types":27,"processed_it_skills":348,"processed_it_skills_labels":349,"processed_job_expertise_skills":358,"processed_job_expertise_skills_labels":359,"max_cpc":55,"actual_cpc":55},60054,"lead-software-engineer-time-series-tha002-refinitiv-software-thailand-limited-2","Lead Software Engineer (Time Series)",{"name":339,"slug":340,"logo_url":11},"Refinitiv Software (Thailand) Limited","refinitiv-software-thailand-limited",[342],"Pathum Wan",[344],"TH",50000,70000,[26],{"sql":30,"java":29,"jira":30,"scrum":30,"python":29,"javascript":29,"cloud technology":30,"distributed systems":29,"test driven development":30,"behavior driven development":30},[350,72,351,32,352,353,354,355,356,357],"Java","JavaScript","Cloud Technology","Distributed Systems","Test Driven Development","Behavior Driven Development","JIRA","Scrum",{"code review":30,"unit testing":30,"secure coding":30,"design patterns":29,"agile methodologies":30,"software development":29,"technical leadership":29,"software architecture design":29},[360,158,361,362,363,202,364,365],"Software Architecture Design","Design Patterns","Unit Testing","Secure Coding","Code Review","Technical Leadership",{"id":367,"slug":368,"title":369,"raw_title":11,"is_featured":12,"company":370,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":373,"processed_country_iso_code_gmaps":375,"processed_home_office":66,"processed_salary_min":377,"processed_salary_max":377,"processed_salary_currency":378,"processed_salary_source":24,"processed_working_hours":379,"processed_employment_types":380,"processed_it_skills":381,"processed_it_skills_labels":382,"processed_job_expertise_skills":385,"processed_job_expertise_skills_labels":386,"max_cpc":55,"actual_cpc":55},63618,"business-intelligence-intern-ytl-digital-bank-berhad-registration-no-202201037182-1482879-p","Business Intelligence Intern",{"name":371,"slug":372,"logo_url":11},"YTL Digital Bank Berhad (Registration No. 202201037182 (1482879-P))","ytl-digital-bank-berhad-registration-no-202201037182-1482879-p",[374],"Kuala Lumpur",[376],"MY",0,"MYR",[26],"student",{"dbt":38,"sql":30,"python":38,"tableau":38,"power bi":38,"snowflake":38},[32,72,309,383,384,191],"Power BI","dbt",{"data mapping":38,"documentation":38,"business analysis":38,"quality assurance":38,"data visualization":38},[325,40,52,260,387],"Quality Assurance",{"id":389,"slug":390,"title":391,"raw_title":11,"is_featured":12,"company":392,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":395,"processed_country_iso_code_gmaps":397,"processed_home_office":20,"processed_salary_min":398,"processed_salary_max":399,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":400,"processed_employment_types":27,"processed_it_skills":401,"processed_it_skills_labels":402,"processed_job_expertise_skills":409,"processed_job_expertise_skills_labels":410,"max_cpc":55,"actual_cpc":55},60529,"data-product-owner-mitsui-sumitomo-marine-management-usa-inc","Data Product Owner",{"name":393,"slug":394,"logo_url":11},"Mitsui Sumitomo Marine Management (USA), Inc.","mitsui-sumitomo-marine-management-usa-inc",[396],"Warren County",[19],140000,210000,[26],{"sql":30,"python":30,"power bi":29,"databricks":29,"azure openai":29,"azure ai studio":29,"microsoft fabric":29,"azure data factory":29,"azure data platform":29},[403,404,405,406,407,408,383,32,72],"Azure Data Platform","Microsoft Fabric","Azure Data Factory","Databricks","Azure AI Studio","Azure OpenAI",{"rate filing":29,"data strategy":29,"naic reporting":29,"rating systems":30,"data governance":29,"actuarial methods":30,"actuarial concepts":29,"backlog management":29,"agile methodologies":29,"regulatory compliance":29,"data product ownership":29,"data quality management":29,"underwriting operations":29,"insurance product management":29,"policy administration systems":30},[411,42,412,413,414,415,416,417,202,418,419,420,421,422,423],"Data Strategy","Data Product Ownership","Underwriting Operations","Actuarial Concepts","Insurance Product Management","Data Quality Management","Backlog Management","Regulatory Compliance","Rate Filing","NAIC Reporting","Policy Administration Systems","Rating Systems","Actuarial Methods",{"id":425,"slug":426,"title":427,"raw_title":11,"is_featured":12,"company":428,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":429,"processed_country_iso_code_gmaps":430,"processed_home_office":66,"processed_salary_min":135,"processed_salary_max":245,"processed_salary_currency":246,"processed_salary_source":24,"processed_working_hours":431,"processed_employment_types":27,"processed_it_skills":432,"processed_it_skills_labels":433,"processed_job_expertise_skills":436,"processed_job_expertise_skills_labels":437,"max_cpc":55,"actual_cpc":55},52086,"vp-regional-policy-analyst-united-overseas-bank-ltd","VP, Regional Policy Analyst",{"name":239,"slug":240,"logo_url":11},[242],[244],[26],{"sas":38,"sql":38,"power bi":38,"microsoft excel":30,"microsoft powerpoint":30},[434,435,139,32,383],"Microsoft Excel","Microsoft PowerPoint",{"ifrs9":38,"data analysis":30,"policy review":29,"risk assurance":30,"basel capital rules":38,"portfolio monitoring":29,"credit risk management":29},[438,439,440,259,441,442,443],"Credit Risk Management","Policy Review","Portfolio Monitoring","Risk Assurance","Basel Capital Rules","IFRS9",{"id":445,"slug":446,"title":447,"raw_title":11,"is_featured":12,"company":448,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":449,"processed_country_iso_code_gmaps":450,"processed_home_office":66,"processed_salary_min":274,"processed_salary_max":451,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":452,"processed_employment_types":27,"processed_it_skills":453,"processed_it_skills_labels":454,"processed_job_expertise_skills":460,"processed_job_expertise_skills_labels":461,"max_cpc":55,"actual_cpc":55},59981,"technical-lead-site-reliability-engineering-phl006-refinitiv-asia-pte-ltd-philippine-branch","Technical Lead - Site Reliability Engineering",{"name":267,"slug":268,"logo_url":11},[270],[272],130000,[26],{"aws":29,"elk":30,"sql":38,"python":30,"datadog":29,"grafana":30,"langfuse":38,"terraform":30,"kubernetes":29,"prometheus":30,"opentelemetry":30,"cloudformation":30},[87,90,98,99,455,456,457,88,458,459,72,32],"Grafana","ELK","OpenTelemetry","CloudFormation","Langfuse",{"slos":29,"finops":30,"error budgets":29,"generative ai":38,"observability":29,"cloud security":29,"vector databases":38,"ai\u002Fml integration":30,"rag architectures":38,"incident management":29,"site reliability engineering":29},[462,120,255,463,464,465,466,467,468,469,470],"Site Reliability Engineering","SLOs","Error Budgets","Cloud Security","FinOps","AI\u002FML Integration","RAG Architectures","Vector Databases","Generative AI",{"id":472,"slug":473,"title":474,"raw_title":11,"is_featured":12,"company":475,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":476,"processed_country_iso_code_gmaps":477,"processed_home_office":66,"processed_salary_min":273,"processed_salary_max":274,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":478,"processed_employment_types":27,"processed_it_skills":479,"processed_it_skills_labels":480,"processed_job_expertise_skills":482,"processed_job_expertise_skills_labels":483,"max_cpc":55,"actual_cpc":55},59939,"data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch","Data Scientist",{"name":267,"slug":268,"logo_url":11},[270],[272],[26],{"r":30,"sql":29,"python":29,"power bi":30,"power automate":38},[72,220,32,383,481],"Power Automate",{"algorithms":29,"automation":30,"statistics":29,"data analysis":29,"data wrangling":29,"machine learning":29,"metrics creation":30,"business understanding":29,"artificial intelligence ethics":30},[259,484,485,486,487,488,489,490,491],"Data Wrangling","Statistics","Machine Learning","Algorithms","Business Understanding","Automation","Metrics Creation","Artificial Intelligence Ethics",{"id":493,"slug":494,"title":495,"raw_title":11,"is_featured":12,"company":496,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":499,"processed_country_iso_code_gmaps":500,"processed_home_office":66,"processed_salary_min":273,"processed_salary_max":274,"processed_salary_currency":378,"processed_salary_source":24,"processed_working_hours":501,"processed_employment_types":27,"processed_it_skills":502,"processed_it_skills_labels":503,"processed_job_expertise_skills":504,"processed_job_expertise_skills_labels":505,"max_cpc":55,"actual_cpc":55},62000,"risk-portfolio-management-ocbc-malaysia","Risk Portfolio Management",{"name":497,"slug":498,"logo_url":11},"OCBC Malaysia","ocbc-malaysia",[],[376],[26],{"r":30,"sql":30,"python":30,"power bi":30},[72,220,32,383],{"data analysis":29,"documentation":30,"risk reporting":29,"portfolio monitoring":29,"regulatory reporting":29,"credit risk management":29},[438,440,506,507,259,260],"Risk Reporting","Regulatory Reporting",{"id":509,"slug":510,"title":511,"raw_title":11,"is_featured":12,"company":512,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":515,"processed_country_iso_code_gmaps":517,"processed_home_office":20,"processed_salary_min":345,"processed_salary_max":346,"processed_salary_currency":519,"processed_salary_source":24,"processed_working_hours":520,"processed_employment_types":27,"processed_it_skills":521,"processed_it_skills_labels":522,"processed_job_expertise_skills":523,"processed_job_expertise_skills_labels":524,"max_cpc":55,"actual_cpc":55},79010,"casualty-catastrophe-analyst-hcc-service-co-uk-branch","Casualty Catastrophe Analyst",{"name":513,"slug":514,"logo_url":11},"HCC Service Co. UK Branch","hcc-service-co-uk-branch",[516],"London",[518],"GB","GBP",[26],{"r":30,"sql":30,"excel":30,"python":30},[221,32,72,220],{"pricing":30,"reinsurance":30,"data analysis":30,"systemic risk":30,"cyber insurance":30,"social inflation":38,"accumulation risk":30,"capital modelling":30,"cyber aggregation":30,"scenario analysis":30,"casualty insurance":30,"claims development":38,"exposure management":30,"catastrophe modelling":38,"large or complex datasets":38,"regulatory frameworks (solvency ii, lloyd's)":38},[525,526,527,528,529,530,259,531,532,533,534,535,536,537,538,539],"Casualty Insurance","Cyber Insurance","Reinsurance","Exposure Management","Pricing","Capital Modelling","Scenario Analysis","Accumulation Risk","Cyber Aggregation","Systemic Risk","Catastrophe Modelling","Regulatory Frameworks (Solvency II, Lloyd's)","Claims Development","Social Inflation","Large or Complex Datasets",{"id":541,"slug":542,"title":543,"raw_title":11,"is_featured":12,"company":544,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":547,"processed_country_iso_code_gmaps":549,"processed_home_office":20,"processed_salary_min":550,"processed_salary_max":551,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":552,"processed_employment_types":27,"processed_it_skills":553,"processed_it_skills_labels":554,"processed_job_expertise_skills":575,"processed_job_expertise_skills_labels":576,"max_cpc":55,"actual_cpc":55},83678,"staff-engineer-software-engineering-government-employees-insurance-company","Staff Engineer, Software Engineering",{"name":545,"slug":546,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[548],"Bethesda",[19],100000,230000,[26],{"c#":29,"go":29,"alm":29,"aws":29,"c++":29,"eap":29,"gcp":29,"sql":29,"java":29,"saml":29,"azure":29,"oauth":29,"devops":29,"docker":29,"python":29,"rest apis":29,"kubernetes":29,"powershell":29,"azure devops":29,"azure portal":29,"azure network":29,"microservices":29,"nosql databases":29,"active directory":29,"automated testing":29,"continuous delivery":29,"infrastructure as code":29,"windows authentication":29,"application monitoring tools":29},[72,555,32,556,89,90,86,73,350,557,558,559,560,561,562,563,564,565,566,311,567,568,569,570,87,571,572,573,574],"C#","NoSQL databases","C++","Microservices","REST APIs","DevOps","Azure DevOps","PowerShell","Azure Portal","Application monitoring tools","Active Directory","Windows Authentication","OAuth","Azure Network","ALM","EAP","GCP","Automated testing","Infrastructure as code","Continuous delivery",{"cloud services":29,"network design":29,"automated testing":29,"change management":29,"resource planning":29,"security protocols":29,"incident management":29,"software development":29,"quantitative analysis":29,"open-source frameworks":29,"architecture and design":29,"cost analysis and forecasting":29,"data structures and algorithms":29,"operational process evaluation":29,"site reliability engineering (sre)":29,"large-scale mission-critical systems":29},[158,577,255,578,579,580,581,582,572,114,583,584,585,586,587,588],"Site Reliability Engineering (SRE)","Change Management","Architecture and Design","Open-source frameworks","Cloud Services","Large-scale mission-critical systems","Quantitative analysis","Cost analysis and forecasting","Resource planning","Operational process evaluation","Security protocols","Network design",{"id":590,"slug":591,"title":592,"raw_title":11,"is_featured":12,"company":593,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":594,"processed_country_iso_code_gmaps":595,"processed_home_office":20,"processed_salary_min":135,"processed_salary_max":596,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":597,"processed_employment_types":27,"processed_it_skills":598,"processed_it_skills_labels":599,"processed_job_expertise_skills":611,"processed_job_expertise_skills_labels":612,"max_cpc":55,"actual_cpc":55},83653,"senior-staff-engineer-financial-substantiation-platform-hybrid-government-employees-insurance-company","Senior Staff Engineer - Financial Substantiation Platform *Hybrid*",{"name":545,"slug":546,"logo_url":11},[548],[19],260000,[26],{"c#":29,"go":29,"soa":29,"sql":29,"grpc":29,"java":29,"rest":29,"ci\u002Fcd":29,"kafka":30,"devops":29,"python":30,"airflow":30,"pyspark":30,"snowpark":30,"snowflake":30,"containers":29,"microservices":29,"observability":29,"relational database design":29,"infrastructure as code (iac)":29,"cloud platforms (aws\u002Fazure\u002Fgcp)":29},[350,555,73,558,600,601,602,32,603,604,91,605,606,560,120,607,191,608,72,609,610],"SOA","REST","gRPC","Relational Database Design","Cloud Platforms (AWS\u002FAzure\u002FGCP)","Containers","Infrastructure as Code (IaC)","Kafka","Airflow","PySpark","Snowpark",{"compliance":29,"erp systems":30,"auditability":29,"data lineage":29,"general ledger":30,"financial controls":29,"distributed systems":29,"technical leadership":29,"software architecture":29,"financial reconciliation":29,"production troubleshooting":29},[613,353,614,615,616,617,618,619,620,621,365],"Software Architecture","Financial Reconciliation","Financial Controls","Compliance","Auditability","Data Lineage","ERP Systems","General Ledger","Production Troubleshooting",{"id":623,"slug":624,"title":625,"raw_title":11,"is_featured":12,"company":626,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":629,"processed_country_iso_code_gmaps":631,"processed_home_office":66,"processed_salary_min":632,"processed_salary_max":633,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":634,"processed_employment_types":27,"processed_it_skills":635,"processed_it_skills_labels":636,"processed_job_expertise_skills":638,"processed_job_expertise_skills_labels":639,"max_cpc":55,"actual_cpc":55},53413,"principal-structured-crebpl-resi-desk-strat-apollo-management-holdings-lp","Principal, Structured CRE\u002FBPL Resi Desk Strat",{"name":627,"slug":628,"logo_url":11},"Apollo Management Holdings, L.P.","apollo-management-holdings-lp",[630],"Los Angeles",[19],300000,400000,[26],{"c#":30,"sql":30,"matlab":30,"python":29},[72,32,637,555],"MATLAB",{"data analysis":29,"securitization":29,"risk assessment":29,"deal structuring":29,"machine learning":30,"cash flow modeling":29,"structured finance":29,"portfolio management":30,"artificial intelligence":30},[640,641,642,643,644,486,645,232,259],"Cash Flow Modeling","Structured Finance","Securitization","Risk Assessment","Deal Structuring","Artificial Intelligence",{"id":647,"slug":648,"title":649,"raw_title":11,"is_featured":12,"company":650,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":653,"processed_country_iso_code_gmaps":655,"processed_home_office":66,"processed_salary_min":274,"processed_salary_max":451,"processed_salary_currency":657,"processed_salary_source":24,"processed_working_hours":658,"processed_employment_types":27,"processed_it_skills":659,"processed_it_skills_labels":660,"processed_job_expertise_skills":667,"processed_job_expertise_skills_labels":668,"max_cpc":55,"actual_cpc":679},59431,"senior-full-stack-finops-engineer-lseg-business-services-rm-srl","Senior Full Stack FinOps Engineer",{"name":651,"slug":652,"logo_url":11},"LSEG Business Services RM S.R.L","lseg-business-services-rm-srl",[654],"București",[656],"RO","EUR",[26],{"cdk":30,"sql":29,"dask":30,"flask":30,"react":29,"spark":29,"django":30,"docker":29,"pulumi":30,"python":29,"fastapi":29,"next.js":29,"pyspark":29,"synapse":30,"bigquery":29,"redshift":29,"snowflake":29,"terraform":29,"kubernetes":29,"typescript":29,"opentelemetry":30},[72,78,661,79,74,75,76,299,609,662,32,89,90,88,663,664,191,665,307,666,457],"React","Dask","CDK","Pulumi","BigQuery","Synapse",{"aws":29,"gcp":29,"slos":29,"azure":29,"finops":29,"data lineage":29,"data quality":29,"data modeling":29,"microservices":29,"observability":29,"data ingestion":29,"serverless etl":30,"cost optimization":29,"data normalization":29,"architecture design":29,"security governance":30,"analytics engineering":29,"event-driven patterns":30,"cloud billing constructs":29,"multi-cloud cost management":29},[466,669,670,671,198,672,673,558,674,675,324,618,463,120,676,677,678,87,86,571],"Multi-cloud Cost Management","Data Ingestion","Data Normalization","Analytics Engineering","Architecture Design","Event-driven Patterns","Serverless ETL","Security Governance","Cost Optimization","Cloud Billing Constructs",0.5,{"industry":681,"employment_type":765,"expertise_skills":780,"it_skills":855,"salary_currency":932,"processed_working_hours":1011},[682,686,690,694,698,702,706,710,714,718,722,725,728,732,736,738,741,744,747,750,753,756,759,762],{"key":683,"label":684,"count":685},"financial services","Financial Services",762,{"key":687,"label":688,"count":689},"banking","Banking",496,{"key":691,"label":692,"count":693},"insurance","Insurance",490,{"key":695,"label":696,"count":697},"financial markets infrastructure","Financial Markets Infrastructure",152,{"key":699,"label":700,"count":701},"data","Data",101,{"key":703,"label":704,"count":705},"asset management","Asset Management",90,{"key":707,"label":708,"count":709},"data provider","Data Provider",51,{"key":711,"label":712,"count":713},"financial technology","Financial Technology",20,{"key":715,"label":716,"count":717},"alternative investments","Alternative Investments",14,{"key":719,"label":720,"count":721},"wealth management","Wealth Management",12,{"key":723,"label":527,"count":724},"reinsurance",10,{"key":726,"label":227,"count":727},"risk management",7,{"key":729,"label":730,"count":731},"digital banking","Digital Banking",6,{"key":733,"label":734,"count":735},"property","Property",5,{"key":737,"label":525,"count":735},"casualty insurance",{"key":739,"label":740,"count":29},"vehicle leasing","Vehicle Leasing",{"key":742,"label":743,"count":29},"fleet management","Fleet Management",{"key":745,"label":746,"count":29},"fund administration","Fund Administration",{"key":748,"label":749,"count":29},"middle office","Middle Office",{"key":751,"label":752,"count":30},"alternative asset management","Alternative Asset Management",{"key":754,"label":755,"count":30},"mortgage finance","Mortgage Finance",{"key":757,"label":758,"count":30},"financial market infrastructure","Financial Market Infrastructure",{"key":760,"label":761,"count":38},"data services","Data Services",{"key":763,"label":764,"count":38},"private equity","Private Equity",[766,769,772,776],{"key":27,"label":767,"count":768},"PERMANENT",1595,{"key":380,"label":770,"count":771},"STUDENT",93,{"key":773,"label":774,"count":775},"temporary","TEMPORARY",24,{"key":777,"label":778,"count":779},"contract","CONTRACT",11,[781,784,787,791,794,797,800,803,806,809,812,815,818,822,825,828,831,833,835,839,842,846,849,852],{"key":782,"label":259,"slug":782,"count":783},"data-analysis",396,{"key":785,"label":227,"slug":785,"count":786},"risk-management",295,{"key":788,"label":789,"slug":788,"count":790},"project-management","Project management",257,{"key":792,"label":42,"slug":792,"count":793},"data-governance",235,{"key":795,"label":418,"slug":795,"count":796},"regulatory-compliance",214,{"key":798,"label":43,"slug":798,"count":799},"process-improvement",163,{"key":801,"label":202,"slug":801,"count":802},"agile-methodologies",154,{"key":804,"label":486,"slug":804,"count":805},"machine-learning",145,{"key":807,"label":197,"slug":807,"count":808},"data-engineering",141,{"key":810,"label":198,"slug":810,"count":811},"data-modeling",140,{"key":813,"label":325,"slug":813,"count":814},"data-visualization",121,{"key":816,"label":40,"slug":816,"count":817},"business-analysis",115,{"key":819,"label":820,"slug":819,"count":821},"data-analytics","Data Analytics",113,{"key":823,"label":489,"slug":823,"count":824},"automation",112,{"key":826,"label":827,"slug":826,"count":701},"data-management","Data Management",{"key":829,"label":255,"slug":829,"count":830},"incident-management",100,{"key":832,"label":324,"slug":832,"count":771},"data-quality",{"key":834,"label":260,"slug":834,"count":771},"documentation",{"key":836,"label":837,"slug":836,"count":838},"business-intelligence","Business Intelligence",92,{"key":840,"label":44,"slug":840,"count":841},"root-cause-analysis",87,{"key":843,"label":844,"slug":843,"count":845},"reporting","Reporting",86,{"key":847,"label":54,"slug":847,"count":848},"stakeholder-management",85,{"key":850,"label":507,"slug":850,"count":851},"regulatory-reporting",83,{"key":853,"label":578,"slug":853,"count":854},"change-management",78,[856,858,861,865,869,872,876,880,884,887,890,893,896,899,902,904,907,911,913,916,918,922,926,928],{"key":857,"label":32,"slug":857,"count":5},"sql",{"key":859,"label":72,"slug":859,"count":860},"python",1105,{"key":862,"label":863,"slug":862,"count":864},"ms-excel","MS Excel",470,{"key":866,"label":867,"slug":866,"count":868},"ms-powerbi","MS PowerBI",360,{"key":870,"label":350,"slug":870,"count":871},"java",304,{"key":873,"label":874,"slug":873,"count":875},"aws","Aws",294,{"key":877,"label":878,"slug":877,"count":879},"cicd","Ci\u002FCd",219,{"key":881,"label":882,"slug":881,"count":883},"ms-azure","MS Azure",209,{"key":885,"label":220,"slug":885,"count":886},"r",205,{"key":888,"label":92,"slug":888,"count":889},"git",197,{"key":891,"label":309,"slug":891,"count":892},"tableau",181,{"key":894,"label":90,"slug":894,"count":895},"kubernetes",175,{"key":897,"label":89,"slug":897,"count":898},"docker",169,{"key":900,"label":901,"slug":900,"count":805},"sas","Sas",{"key":903,"label":191,"slug":903,"count":811},"snowflake",{"key":905,"label":406,"slug":905,"count":906},"databricks",129,{"key":908,"label":909,"slug":908,"count":910},"vba","Vba",122,{"key":912,"label":607,"slug":912,"count":824},"kafka",{"key":914,"label":33,"slug":914,"count":915},"jira",106,{"key":917,"label":140,"slug":917,"count":915},"oracle",{"key":919,"label":920,"slug":919,"count":921},"jenkins","Jenkins",105,{"key":923,"label":924,"slug":923,"count":925},"javascript","Javascript",102,{"key":927,"label":88,"slug":927,"count":830},"terraform",{"key":929,"label":930,"slug":929,"count":931},"nosql","Nosql",97,[933,935,937,939,941,943,944,946,948,951,954,957,960,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009],{"key":23,"label":23,"count":934},627,{"key":657,"label":657,"count":936},261,{"key":216,"label":216,"count":938},176,{"key":186,"label":186,"count":940},134,{"key":246,"label":246,"count":942},108,{"key":519,"label":519,"count":830},{"key":378,"label":378,"count":945},79,{"key":275,"label":275,"count":947},67,{"key":949,"label":949,"count":950},"HKD",28,{"key":952,"label":952,"count":953},"PLN",27,{"key":955,"label":955,"count":956},"CHF",17,{"key":958,"label":958,"count":959},"MXN",16,{"key":961,"label":961,"count":962},"AUD",13,{"key":964,"label":964,"count":724},"BRL",{"key":966,"label":966,"count":727},"TRY",{"key":968,"label":968,"count":731},"JPY",{"key":970,"label":970,"count":731},"PEN",{"key":972,"label":972,"count":731},"HUF",{"key":974,"label":974,"count":731},"VND",{"key":976,"label":976,"count":735},"LKR",{"key":978,"label":978,"count":735},"CNY",{"key":980,"label":980,"count":29},"TWD",{"key":982,"label":982,"count":29},"THB",{"key":984,"label":984,"count":30},"IDR",{"key":986,"label":986,"count":30},"COP",{"key":988,"label":988,"count":30},"ZAR",{"key":990,"label":990,"count":38},"ARS",{"key":992,"label":992,"count":38},"RON",{"key":994,"label":994,"count":38},"KRW",{"key":996,"label":996,"count":38},"VES",{"key":998,"label":998,"count":55},"CZK",{"key":1000,"label":1000,"count":55},"BMD",{"key":1002,"label":1002,"count":55},"CLP",{"key":1004,"label":1004,"count":55},"EGP",{"key":1006,"label":1006,"count":55},"NGN",{"key":1008,"label":1008,"count":55},"BGN",{"key":1010,"label":1010,"count":55},"MZN",[1012,1014],{"key":26,"label":26,"count":1013},1720,{"key":1015,"label":1015,"count":1016},"PART_TIME",32,{"total":55,"jobs":1018},[]]