[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-quality-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Fdata-quality?page=4":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Fdata-quality?page=4":651,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Fdata-quality?page=4":871},{},{"total":5,"jobs":6},154,[7,44,84,111,155,179,194,242,282,298,321,357,368,402,443,484,558,588,607,623],{"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":33,"max_cpc":43,"actual_cpc":43},82243,"analyst-business-effectiveness-cibc-bank-usa","Analyst, Business Effectiveness",null,false,{"name":14,"slug":15,"logo_url":11},"CIBC Bank USA","cibc-bank-usa",[17],"Chicago",[19],"US","hybrid",70000,90000,"USD","estimated",[26],"FULL_TIME","permanent",{"microsoft office":29},3,[31],"Microsoft Office",{"governance":29,"data quality":29,"risk management":29,"records retention":29,"project management":29,"business operations":29,"process improvement":29,"portfolio management":29,"documentation management":29},[34,35,36,37,38,39,40,41,42],"Project Management","Process Improvement","Business Operations","Portfolio Management","Governance","Risk Management","Data Quality","Records Retention","Documentation Management",1,{"id":45,"slug":46,"title":47,"raw_title":11,"is_featured":12,"company":48,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":51,"processed_country_iso_code_gmaps":53,"processed_home_office":20,"processed_salary_min":55,"processed_salary_max":22,"processed_salary_currency":56,"processed_salary_source":24,"processed_working_hours":57,"processed_employment_types":27,"processed_it_skills":58,"processed_it_skills_labels":60,"processed_job_expertise_skills":66,"processed_job_expertise_skills_labels":68,"max_cpc":43,"actual_cpc":43},75055,"senior-content-specialist-refinitiv-technology-china-co-ltd","Senior Content Specialist",{"name":49,"slug":50,"logo_url":11},"Refinitiv Technology China Co., Ltd.","refinitiv-technology-china-co-ltd",[52],"Hai Dian Qu",[54],"CN",60000,"GBP",[26],{"sql":29,"python":29,"ai agents":59,"workflow automation tools":59,"low-code development platforms":59},2,[61,62,63,64,65],"Python","SQL","Low-code development platforms","AI agents","Workflow automation tools",{"data quality":29,"data modeling":29,"agile delivery":29,"data governance":29,"business analysis":67,"data transformation":67,"process improvement":67,"product-led delivery":29,"business transformation":67,"technology transformation":67,"operational transformation":67,"platform migration support":67,"operating model documentation":67,"business process documentation":67,"technology implementation support":67},4,[69,70,71,72,73,74,75,76,77,78,79,80,81,82,83],"Business transformation","Operational transformation","Data transformation","Technology transformation","Business analysis","Process improvement","Business process documentation","Operating model documentation","Technology implementation support","Platform migration support","Data modeling","Data governance","Data quality","Agile delivery","Product-led delivery",{"id":85,"slug":86,"title":87,"raw_title":11,"is_featured":12,"company":88,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":91,"processed_country_iso_code_gmaps":92,"processed_home_office":94,"processed_salary_min":95,"processed_salary_max":55,"processed_salary_currency":96,"processed_salary_source":24,"processed_working_hours":97,"processed_employment_types":27,"processed_it_skills":98,"processed_it_skills_labels":99,"processed_job_expertise_skills":103,"processed_job_expertise_skills_labels":104,"max_cpc":43,"actual_cpc":43},69788,"software-solutions-development-associate-bbva-peru","SOFTWARE SOLUTIONS DEVELOPMENT ASSOCIATE",{"name":89,"slug":90,"logo_url":11},"BBVA PERU","bbva-peru",[],[93],"PE","onsite",40000,"PEN",[26],{"sql":29,"oracle":29,"api integration":29,"software architecture":29},[100,62,101,102],"Oracle","API Integration","Software Architecture",{"testing":29,"data quality":29,"scrum master":67,"project management":29,"agile methodologies":67,"security compliance":29,"software development":67,"technical documentation":29},[105,106,34,107,108,109,110,40],"Scrum Master","Agile Methodologies","Software Development","Security Compliance","Technical Documentation","Testing",{"id":112,"slug":113,"title":114,"raw_title":11,"is_featured":12,"company":115,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":119,"processed_country_iso_code_gmaps":121,"processed_home_office":20,"processed_salary_min":123,"processed_salary_max":124,"processed_salary_currency":125,"processed_salary_source":24,"processed_working_hours":126,"processed_employment_types":27,"processed_it_skills":127,"processed_it_skills_labels":128,"processed_job_expertise_skills":137,"processed_job_expertise_skills_labels":138,"max_cpc":43,"actual_cpc":43},73768,"workday-integration-expert-ing-hubs-bv-sp-z-oo-oddzia-w-polsce","Workday Integration Expert",{"name":116,"slug":117,"logo_url":118},"ING Hubs B.V. sp. z o.o. Oddzial w Polsce","ing-hubs-bv-sp-z-oo-oddzial-w-polsce","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[120],"Warszawa",[122],"PL",17300,24000,"PLN",[26],{"eib":67,"peci":67,"picof":67,"servicenow":59,"cloud connect":67,"workday extend":29,"workday studio":67,"core connectors":67},[129,130,131,132,133,134,135,136],"Workday Studio","EIB","Core Connectors","Cloud Connect","PECI","PICOF","Workday Extend","ServiceNow",{"data loads":67,"data quality":67,"data governance":67,"troubleshooting":67,"regression testing":67,"incident management":67,"upgrades management":67,"tenant configuration":67,"production management":67,"integration monitoring":67,"workday administration":67,"hr functional experience":29,"workday integration test":67,"workday integration build":67,"workday integration design":67,"workday payroll integration":67,"workday integration deployment":67},[139,140,141,142,143,144,145,146,147,40,148,149,150,151,152,153,154],"Workday Integration Design","Workday Integration Build","Workday Integration Test","Workday Integration Deployment","Workday Payroll Integration","Troubleshooting","Incident Management","Integration Monitoring","Data Governance","Regression Testing","HR Functional Experience","Workday Administration","Tenant Configuration","Data Loads","Upgrades Management","Production Management",{"id":156,"slug":157,"title":47,"raw_title":11,"is_featured":12,"company":158,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":161,"processed_country_iso_code_gmaps":163,"processed_home_office":20,"processed_salary_min":165,"processed_salary_max":166,"processed_salary_currency":167,"processed_salary_source":24,"processed_working_hours":168,"processed_employment_types":27,"processed_it_skills":169,"processed_it_skills_labels":170,"processed_job_expertise_skills":171,"processed_job_expertise_skills_labels":172,"max_cpc":43,"actual_cpc":43},75128,"senior-content-specialist-refinitiv-india-private-limited",{"name":159,"slug":160,"logo_url":11},"Refinitiv India Private Limited","refinitiv-india-private-limited",[162],"Bengaluru",[164],"IN",1500000,2500000,"INR",[26],{"sql":29,"python":29,"ai agents":29,"workflow automation tools":29,"low-code development platforms":29},[61,62,63,64,65],{"data quality":29,"data modeling":67,"agile delivery":29,"data governance":29,"data management":29,"business analysis":67,"content operations":29,"data transformation":67,"process improvement":67,"operational controls":29,"product-led delivery":29,"market data knowledge":29,"business transformation":67,"technology transformation":67,"operational transformation":67,"platform migration support":67,"requirements documentation":67,"financial services knowledge":29,"operating model documentation":67,"business process documentation":67,"technology implementation support":67},[69,70,71,72,73,74,75,173,76,77,78,79,80,81,174,82,83,175,176,177,178],"Requirements documentation","Operational controls","Financial services knowledge","Market data knowledge","Data management","Content operations",{"id":180,"slug":181,"title":47,"raw_title":11,"is_featured":12,"company":182,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":185,"processed_country_iso_code_gmaps":186,"processed_home_office":20,"processed_salary_min":165,"processed_salary_max":166,"processed_salary_currency":167,"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":190,"processed_job_expertise_skills_labels":191,"max_cpc":43,"actual_cpc":43},75106,"senior-content-specialist-refinitiv-india-shared-services-private-limited-2",{"name":183,"slug":184,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[162],[164],[26],{"sql":29,"python":29,"ai agents":29,"workflow automation tools":29,"low-code development platforms":29},[61,62,63,64,65],{"data quality":29,"agile delivery":29,"data modelling":29,"data governance":29,"business analysis":67,"data transformation":67,"process improvement":67,"operational controls":29,"product-led delivery":29,"business transformation":67,"technology transformation":67,"operational transformation":67,"platform migration support":67,"requirements documentation":67,"operating model documentation":67,"business process documentation":67,"technology implementation support":67,"operational change programme support":67},[69,70,71,72,73,74,75,173,76,77,78,192,193,80,81,174,82,83],"Operational change programme support","Data modelling",{"id":195,"slug":196,"title":197,"raw_title":11,"is_featured":12,"company":198,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":201,"processed_country_iso_code_gmaps":203,"processed_home_office":94,"processed_salary_min":204,"processed_salary_max":205,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":206,"processed_employment_types":27,"processed_it_skills":207,"processed_it_skills_labels":208,"processed_job_expertise_skills":214,"processed_job_expertise_skills_labels":215,"max_cpc":43,"actual_cpc":43},79478,"senior-manager-infrastructure-and-ops-technology-products-western-alliance-bank","Senior Manager - Infrastructure and Ops Technology Products",{"name":199,"slug":200,"logo_url":11},"Western Alliance Bank","western-alliance-bank",[202],"Phoenix",[19],150000,200000,[26],{"security":67,"data governance":67,"service management":67,"enterprise architecture":67,"operational reliability concepts":67,"cloud-based data and analytics platforms":67},[209,210,211,212,80,213],"Cloud-based data and analytics platforms","Enterprise architecture","Service management","Security","Operational reliability concepts",{"delivery":67,"engineering":67,"data quality":67,"data analysis":67,"modernization":67,"agile delivery":67,"data platforms":67,"transformation":67,"data governance":67,"risk management":29,"legal compliance":29,"budget management":67,"control practices":29,"privacy practices":67,"vendor management":67,"industry standards":29,"roadmap governance":67,"security practices":67,"metadata management":67,"enterprise platforms":67,"value-based planning":67,"regulatory compliance":29,"backlog prioritization":67,"operating model change":67,"business case development":67,"cybersecurity obligations":29,"platform operating models":67,"investment recommendations":67,"technology product management":67},[216,217,218,219,220,221,222,223,82,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,80,81,239,240,241],"Technology product management","Enterprise platforms","Data platforms","Engineering","Delivery","Roadmap governance","Backlog prioritization","Value-based planning","Platform operating models","Regulatory compliance","Legal compliance","Risk management","Cybersecurity obligations","Industry standards","Control practices","Data analysis","Budget management","Vendor management","Business case development","Investment recommendations","Transformation","Modernization","Operating model change","Metadata management","Security practices","Privacy practices",{"id":243,"slug":244,"title":245,"raw_title":11,"is_featured":12,"company":246,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":249,"processed_country_iso_code_gmaps":251,"processed_home_office":20,"processed_salary_min":252,"processed_salary_max":253,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":254,"processed_employment_types":27,"processed_it_skills":255,"processed_it_skills_labels":256,"processed_job_expertise_skills":272,"processed_job_expertise_skills_labels":273,"max_cpc":43,"actual_cpc":43},88426,"data-engineer-i-aws-databricks-travelers-indemnity-co","Data Engineer I (AWS, Databricks)",{"name":247,"slug":248,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[250],"Hartford",[19],109300,180200,[26],{"aws":67,"sql":29,"jira":29,"snyk":59,"ci\u002Fcd":29,"athena":29,"github":29,"python":29,"autosys":59,"dynamodb":29,"autoloader":29,"aws lambda":29,"databricks":67,"servicenow":59,"unity catalog":29,"github copilot":59,"aws eventbridge":29,"aws step functions":29},[257,258,61,62,259,260,261,262,263,264,265,266,267,268,269,270,136,271],"AWS","Databricks","GitHub","Jira","CI\u002FCD","DynamoDB","Athena","AWS Lambda","AWS Step Functions","AWS EventBridge","Unity Catalog","Autoloader","GitHub Copilot","Snyk","Autosys",{"devops":29,"ai tools":59,"data quality":29,"data analysis":29,"data security":29,"data pipelines":67,"data governance":29,"data engineering":67,"machine learning":59,"software engineering":29},[274,275,147,276,40,277,278,279,280,281],"Data Engineering","Data Pipelines","Data Security","Data Analysis","Software Engineering","DevOps","AI Tools","Machine Learning",{"id":283,"slug":284,"title":285,"raw_title":11,"is_featured":12,"company":286,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":287,"processed_country_iso_code_gmaps":288,"processed_home_office":20,"processed_salary_min":289,"processed_salary_max":290,"processed_salary_currency":167,"processed_salary_source":24,"processed_working_hours":291,"processed_employment_types":27,"processed_it_skills":292,"processed_it_skills_labels":293,"processed_job_expertise_skills":294,"processed_job_expertise_skills_labels":295,"max_cpc":43,"actual_cpc":43},75132,"senior-specialist-content-operations-refinitiv-india-shared-services-private-limited","Senior Specialist, Content Operations",{"name":183,"slug":184,"logo_url":11},[162],[164],1200000,2000000,[26],{"sql":29,"python":29,"ai agents":29,"workflow automation tools":29,"low-code development platforms":29},[61,62,63,64,65],{"data quality":29,"agile delivery":29,"data modelling":67,"data governance":29,"business analysis":67,"data transformation":67,"process improvement":67,"operational controls":29,"process documentation":67,"operating model design":67,"business transformation":67,"technology transformation":67,"operational transformation":67,"platform migration support":67,"technology implementation support":67},[69,70,71,72,73,74,296,297,193,77,78,82,80,81,174],"Process documentation","Operating model design",{"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":307,"processed_home_office":20,"processed_salary_min":308,"processed_salary_max":309,"processed_salary_currency":167,"processed_salary_source":24,"processed_working_hours":310,"processed_employment_types":27,"processed_it_skills":311,"processed_it_skills_labels":312,"processed_job_expertise_skills":314,"processed_job_expertise_skills_labels":315,"max_cpc":43,"actual_cpc":43},83070,"cross-border-data-control-operations-advisory-services-lead-vp-f337-deutsche-india-private-limited-pune-branch","Cross-Border Data Control Operations & Advisory Services Lead, VP",{"name":303,"slug":304,"logo_url":11},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[306],"Pune",[164],4000000,6000000,[26],{"ai tools":29},[313],"AI tools",{"governance":67,"data lineage":67,"data quality":67,"data controls":67,"data governance":67,"data management":67,"risk management":67,"control operations":67,"program management":67,"metadata management":67,"regulatory compliance":67,"project management office (pmo)":67},[316,38,227,225,317,318,177,80,81,319,239,320],"Control operations","Program management","Project Management Office (PMO)","Data lineage","Data controls",{"id":322,"slug":323,"title":324,"raw_title":11,"is_featured":12,"company":325,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":328,"processed_country_iso_code_gmaps":329,"processed_home_office":94,"processed_salary_min":204,"processed_salary_max":331,"processed_salary_currency":332,"processed_salary_source":24,"processed_working_hours":333,"processed_employment_types":27,"processed_it_skills":334,"processed_it_skills_labels":335,"processed_job_expertise_skills":339,"processed_job_expertise_skills_labels":340,"max_cpc":43,"actual_cpc":43},76451,"global-markets-nextgen-solutions-team-lead-vp-ocbc-bank","Global Markets NextGen Solutions Team lead - VP",{"name":326,"slug":327,"logo_url":11},"OCBC Bank","ocbc-bank",[],[330],"SG",250000,"SGD",[26],{"sql":29,"excel":29,"python":29,"ai tools":29,"agentic workflows":29,"data visualization software":29},[61,62,336,337,280,338],"Excel","Data Visualization Software","Agentic Workflows",{"fis":29,"finiq":29,"murex":67,"numerix":29,"e-channels":29,"markitwire":29,"ai adoption":29,"data quality":67,"data governance":67,"risk management":67,"cloud initiatives":29,"vendor management":29,"workflow automation":67,"technology governance":67,"digital transformation":67,"financial markets knowledge":67,"trade operational workflows":67,"strategic technology planning":67,"straight-through processing (stp)":67},[341,342,343,344,345,346,347,348,349,147,40,39,350,351,352,353,354,355,356],"Financial Markets Knowledge","Trade Operational Workflows","Murex","FiniQ","Numerix","MarkitWire","FIS","E-channels","Technology Governance","Straight-Through Processing (STP)","Workflow Automation","Digital Transformation","Strategic Technology Planning","Vendor Management","Cloud Initiatives","AI Adoption",{"id":358,"slug":359,"title":47,"raw_title":11,"is_featured":12,"company":360,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":361,"processed_country_iso_code_gmaps":362,"processed_home_office":20,"processed_salary_min":165,"processed_salary_max":166,"processed_salary_currency":167,"processed_salary_source":24,"processed_working_hours":363,"processed_employment_types":27,"processed_it_skills":364,"processed_it_skills_labels":365,"processed_job_expertise_skills":366,"processed_job_expertise_skills_labels":367,"max_cpc":43,"actual_cpc":43},75129,"senior-content-specialist-refinitiv-india-shared-services-private-limited-4",{"name":183,"slug":184,"logo_url":11},[162],[164],[26],{"sql":29,"python":29,"ai agents":59,"workflow automation tools":59,"low-code development platforms":59},[61,62,63,64,65],{"data quality":29,"data modeling":29,"agile delivery":29,"data governance":29,"business analysis":67,"data transformation":67,"process improvement":67,"operational controls":29,"product-led delivery":29,"operating model design":67,"business transformation":67,"technology transformation":67,"operational transformation":67,"platform migration support":67,"requirements documentation":67,"business process documentation":67,"technology implementation support":67},[69,70,71,72,73,74,75,173,297,77,78,79,80,81,174,82,83],{"id":369,"slug":370,"title":371,"raw_title":11,"is_featured":12,"company":372,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":376,"processed_country_iso_code_gmaps":378,"processed_home_office":20,"processed_salary_min":55,"processed_salary_max":22,"processed_salary_currency":380,"processed_salary_source":24,"processed_working_hours":381,"processed_employment_types":27,"processed_it_skills":382,"processed_it_skills_labels":383,"processed_job_expertise_skills":390,"processed_job_expertise_skills_labels":391,"max_cpc":43,"actual_cpc":43},71082,"data-engineer-allianz-insurance-4","Data Engineer",{"name":373,"slug":374,"logo_url":375},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[377],"Budapest",[379],"HU","EUR",[26],{"sas":59,"sql":29,"spark":29,"github":29,"python":29,"powerbi":59,"azure notebooks":29,"azure pipelines":29,"azure synapse analytics":29},[61,62,384,259,385,386,387,388,389],"Spark","Azure Synapse Analytics","PowerBI","SAS","Azure Notebooks","Azure Pipelines",{"etl":67,"migration":29,"data quality":67,"data modeling":29,"data ingestion":67,"ai technologies":59,"data integration":67,"data warehousing":67,"data transformation":67,"data platform architectures":29,"monitoring and optimization":29},[392,393,394,395,396,40,397,398,399,400,401],"Data Warehousing","ETL","Data Integration","Data Modeling","Data Platform Architectures","Data Transformation","Data Ingestion","Monitoring and Optimization","Migration","AI Technologies",{"id":403,"slug":404,"title":405,"raw_title":11,"is_featured":12,"company":406,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":409,"processed_country_iso_code_gmaps":411,"processed_home_office":94,"processed_salary_min":413,"processed_salary_max":165,"processed_salary_currency":414,"processed_salary_source":24,"processed_working_hours":415,"processed_employment_types":27,"processed_it_skills":416,"processed_it_skills_labels":417,"processed_job_expertise_skills":422,"processed_job_expertise_skills_labels":423,"max_cpc":43,"actual_cpc":43},72792,"associate-director-alternative-investments-execution-and-management-investment-fwd-life-insurance-company-bermuda-limited","Associate Director, Alternative Investments Execution and Management, Investment",{"name":407,"slug":408,"logo_url":11},"FWD Life Insurance Company (Bermuda) Limited","fwd-life-insurance-company-bermuda-limited",[410],"Hong Kong Island",[412],"HK",900000,"HKD",[26],{"excel":67,"power bi":29,"automation":59,"powerpoint":67,"investment\u002Fworkflow management systems":29},[336,418,419,420,421],"PowerPoint","Power BI","Investment\u002Fworkflow management systems","Automation",{"real assets":29,"data quality":29,"due diligence":67,"co-investments":29,"private credit":29,"private equity":29,"private markets":67,"risk management":29,"fund investments":29,"regulatory filings":29,"document management":29,"process improvement":29,"liquidity management":29,"portfolio allocation":29,"workflow initiatives":29,"investment management":67,"transaction execution":67,"operational onboarding":29,"alternative investments":67,"infrastructure investments":29,"legal and tax review coordination":29,"insurance investment considerations":29},[424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,39,440,35,40,441,442],"Investment Management","Alternative Investments","Private Markets","Transaction Execution","Private Equity","Private Credit","Infrastructure Investments","Real Assets","Co-investments","Fund Investments","Due Diligence","Legal and Tax Review Coordination","Operational Onboarding","Portfolio Allocation","Liquidity Management","Regulatory Filings","Insurance Investment Considerations","Document Management","Workflow Initiatives",{"id":444,"slug":445,"title":446,"raw_title":11,"is_featured":12,"company":447,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":450,"processed_country_iso_code_gmaps":451,"processed_home_office":20,"processed_salary_min":309,"processed_salary_max":453,"processed_salary_currency":454,"processed_salary_source":24,"processed_working_hours":455,"processed_employment_types":27,"processed_it_skills":456,"processed_it_skills_labels":457,"processed_job_expertise_skills":462,"processed_job_expertise_skills_labels":463,"max_cpc":43,"actual_cpc":43},73848,"apac-ic-officer-invesco-asset-management-japan-limited","APAC IC Officer",{"name":448,"slug":449,"logo_url":11},"Invesco Asset Management (Japan) Limited","invesco-asset-management-japan-limited",[],[452],"JP",9000000,"JPY",[26],{"aladdin":29,"bloomberg":29,"crims (crd)":29,"charles river":29},[458,459,460,461],"Aladdin","CRIMS (CRD)","Charles River","Bloomberg",{"mpf":29,"audit":29,"ucits":29,"assurance":29,"data quality":29,"rule testing":29,"rule validation":29,"trading activity":29,"investment products":29,"process improvement":29,"root cause analysis":29,"segregated mandates":29,"compliance monitoring":67,"investment strategies":29,"regulatory frameworks":67,"portfolio construction":29,"regulated retail funds":29,"alternative investments":29,"investment restrictions":67,"index-tracking strategies":29,"apac regulatory requirements":29,"investment management processes":29,"investment compliance monitoring":67},[464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,425,481,482,483,35,40],"Investment Compliance Monitoring","Compliance Monitoring","Audit","Assurance","Investment Management Processes","Portfolio Construction","Trading Activity","Regulatory Frameworks","Investment Restrictions","UCITS","APAC Regulatory Requirements","Investment Products","Investment Strategies","Regulated Retail Funds","MPF","Index-Tracking Strategies","Segregated Mandates","Rule Testing","Rule Validation","Root Cause Analysis",{"id":485,"slug":486,"title":487,"raw_title":11,"is_featured":12,"company":488,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":491,"processed_country_iso_code_gmaps":493,"processed_home_office":20,"processed_salary_min":494,"processed_salary_max":495,"processed_salary_currency":167,"processed_salary_source":24,"processed_working_hours":496,"processed_employment_types":27,"processed_it_skills":497,"processed_it_skills_labels":498,"processed_job_expertise_skills":528,"processed_job_expertise_skills_labels":529,"max_cpc":43,"actual_cpc":43},78805,"ind-lead-engineer-data-hartford-global-services-private-limited","IND Lead Engineer, Data",{"name":489,"slug":490,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[492],"Hyderabad",[164],3000000,5000000,[26],{"a2a":67,"mcp":67,"rdf":67,"sql":67,"ci\u002Fcd":67,"neo4j":67,"nosql":67,"aws s3":67,"cypher":67,"docker":67,"python":67,"sparql":67,"aws ec2":67,"mongodb":67,"pytorch":29,"big data":67,"dynamodb":67,"langchain":67,"langgraph":67,"snowflake":67,"aws lambda":67,"kubernetes":67,"tensorflow":29,"aws kinesis":67,"apache kafka":67,"apache spark":67,"etl\u002Felt tools":67,"gcp vertex ai":67,"spanner graph":67,"amazon neptune":67,"aws opensearch":67,"graph databases":67,"vector databases":67,"cloud technologies (aws\u002Fgcp\u002Fazure)":67},[61,62,499,500,501,261,502,503,504,505,506,507,508,509,510,511,512,513,514,515,262,264,516,517,518,519,520,521,522,523,524,525,526,527],"NoSQL","Snowflake","ETL\u002FELT tools","Big Data","Cloud Technologies (AWS\u002FGCP\u002FAzure)","Apache Spark","Apache Kafka","AWS Kinesis","Docker","Kubernetes","PyTorch","TensorFlow","Vector Databases","Graph Databases","Neo4j","Amazon Neptune","MongoDB","AWS S3","AWS EC2","LangChain","LangGraph","MCP","A2A","Cypher","SPARQL","RDF","AWS OpenSearch","GCP Vertex AI","Spanner Graph",{"ai\u002Fml":67,"devops":67,"alerting":67,"analytics":67,"data mesh":67,"data lakes":67,"monitoring":67,"redundancy":67,"data fabric":67,"data catalog":67,"data domains":67,"data lineage":67,"data quality":67,"scaled agile":67,"data products":67,"generative ai":67,"data governance":67,"fault tolerance":67,"data engineering":67,"data integration":67,"data warehousing":67,"knowledge graphs":67,"agentic solutions":67,"data architecture":67,"disaster recovery":67,"semantic modeling":67,"prompt engineering":67,"incident management":67,"business intelligence":67,"reliability engineering":67,"real-time data streaming":67,"synthetic data generation":67,"insurance domain knowledge":29,"unstructured data processing":67,"retrieval-augmented generation (rag)":67},[274,530,392,394,531,532,533,534,147,40,535,536,537,538,539,540,541,542,543,544,279,545,546,547,548,549,550,145,551,552,553,554,555,556,557],"Data Architecture","Data Lakes","Data Domains","Data Products","Business Intelligence","Data Lineage","Data Catalog","Generative AI","Retrieval-Augmented Generation (RAG)","Prompt Engineering","Semantic Modeling","Knowledge Graphs","Synthetic Data Generation","Agentic Solutions","Scaled Agile","Reliability Engineering","Disaster Recovery","Fault Tolerance","Redundancy","Monitoring","Alerting","Data Mesh","Data Fabric","Unstructured Data Processing","Real-Time Data Streaming","AI\u002FML","Analytics","Insurance Domain Knowledge",{"id":559,"slug":560,"title":561,"raw_title":11,"is_featured":12,"company":562,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":565,"processed_country_iso_code_gmaps":567,"processed_home_office":20,"processed_salary_min":569,"processed_salary_max":570,"processed_salary_currency":380,"processed_salary_source":24,"processed_working_hours":571,"processed_employment_types":27,"processed_it_skills":572,"processed_it_skills_labels":573,"processed_job_expertise_skills":577,"processed_job_expertise_skills_labels":578,"max_cpc":43,"actual_cpc":43},84213,"technical-business-analyst-ing-hubs-romania-ing-hubs-bv-amsterdam-sucursala-bucuresti-5","Technical Business Analyst @ING Hubs Romania",{"name":563,"slug":564,"logo_url":118},"ING Bank N. V. Amsterdam - Sucursala Bucuresti","ing-bank-n-v-amsterdam-sucursala-bucuresti",[566],"Bukarest",[568],"RO",30000,50000,[26],{"data analytics tools":29,"data visualization tools":29,"cloud-based data platforms":59},[574,575,576],"Data Analytics Tools","Data Visualization Tools","Cloud-based Data Platforms",{"uat":29,"agile":29,"credit risk":67,"data lineage":67,"data quality":29,"data catalogue":67,"data modelling":67,"reconciliation":29,"data governance":29,"data management":67,"banking products":59,"data warehousing":67,"statistical modeling":59},[579,392,580,581,535,582,583,584,585,147,40,586,587],"Data Management","Data Catalogue","Data Modelling","Credit Risk","Agile","Statistical Modeling","Banking Products","Reconciliation","UAT",{"id":589,"slug":590,"title":591,"raw_title":11,"is_featured":12,"company":592,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":593,"processed_country_iso_code_gmaps":594,"processed_home_office":20,"processed_salary_min":569,"processed_salary_max":570,"processed_salary_currency":380,"processed_salary_source":24,"processed_working_hours":595,"processed_employment_types":27,"processed_it_skills":596,"processed_it_skills_labels":597,"processed_job_expertise_skills":598,"processed_job_expertise_skills_labels":599,"max_cpc":43,"actual_cpc":43},73559,"data-modeler-ing-hubs-romania-ing-hubs-bv-amsterdam-sucursala-bucuresti-3","Data Modeler @ING Hubs Romania",{"name":563,"slug":564,"logo_url":118},[566],[568],[26],{"sas":29,"sql":29,"data visualization tools":29},[62,387,575],{"agile":29,"bcbs239":59,"credit risk":29,"data lineage":67,"data quality":29,"data analysis":67,"data catalogue":29,"data modelling":67,"data governance":29,"data management":67,"data warehousing":67,"business analysis":67,"loss given default":59,"exposure at default":59,"functional analysis":67,"probability of default":59,"requirements gathering":67},[579,392,580,581,535,600,277,601,602,582,583,147,40,603,604,605,606],"Business Analysis","Functional Analysis","Requirements Gathering","BCBS239","Probability of Default","Loss Given Default","Exposure at Default",{"id":608,"slug":609,"title":47,"raw_title":11,"is_featured":12,"company":610,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":613,"processed_country_iso_code_gmaps":615,"processed_home_office":20,"processed_salary_min":55,"processed_salary_max":22,"processed_salary_currency":617,"processed_salary_source":24,"processed_working_hours":618,"processed_employment_types":27,"processed_it_skills":619,"processed_it_skills_labels":620,"processed_job_expertise_skills":621,"processed_job_expertise_skills_labels":622,"max_cpc":43,"actual_cpc":43},75189,"senior-content-specialist-refinitiv-asia-pte-ltd-philippine-branch",{"name":611,"slug":612,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[614],"Taguig",[616],"PH","PHP",[26],{"sql":29,"python":29,"ai agents":59,"workflow automation tools":59,"low-code development platforms":59},[61,62,63,64,65],{"data quality":29,"agile delivery":29,"data modelling":29,"data governance":29,"business analysis":67,"data transformation":67,"process improvement":67,"operational controls":29,"product-led delivery":29,"business transformation":67,"technology transformation":67,"operational transformation":67,"platform migration support":67,"requirements documentation":67,"operating model documentation":67,"business process documentation":67,"technology implementation support":67,"operational change programme support":67},[69,70,71,72,73,74,75,173,76,77,78,192,193,80,81,174,82,83],{"id":624,"slug":625,"title":626,"raw_title":11,"is_featured":12,"company":627,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":628,"processed_country_iso_code_gmaps":630,"processed_home_office":20,"processed_salary_min":55,"processed_salary_max":21,"processed_salary_currency":380,"processed_salary_source":24,"processed_working_hours":632,"processed_employment_types":27,"processed_it_skills":633,"processed_it_skills_labels":634,"processed_job_expertise_skills":645,"processed_job_expertise_skills_labels":646,"max_cpc":43,"actual_cpc":650},70992,"senior-data-engineer-mwd-allianz-insurance","(Senior) Data Engineer (m\u002Fw\u002Fd)",{"name":373,"slug":374,"logo_url":375},[629],"Wien",[631],"AT",[26],{"ai":29,"git":29,"numpy":67,"pandas":67,"python":67,"etl\u002Felt":67,"pyspark":67,"databricks":67,"scikit-learn":67,"azure synapse":67,"data modeling":67,"ci\u002Fcd pipelines":29,"machine learning":29,"microsoft fabric":67},[61,635,258,636,637,638,639,640,641,642,395,643,644,281],"PySpark","Azure Synapse","Microsoft Fabric","Pandas","NumPy","Scikit-Learn","CI\u002FCD Pipelines","Git","ETL\u002FELT","AI",{"data quality":29,"data security":29,"data migration":29,"data pipelines":67,"data architecture":67,"process automation":29,"big data processing":67},[530,647,275,276,40,648,649],"Big Data Processing","Data Migration","Process Automation",0.5,{"industry":652,"employment_type":694,"expertise_skills":704,"it_skills":775,"salary_currency":843,"processed_working_hours":866},[653,657,661,665,669,673,677,680,683,686,689,692],{"key":654,"label":655,"count":656},"financial services","Financial Services",62,{"key":658,"label":659,"count":660},"insurance","Insurance",52,{"key":662,"label":663,"count":664},"banking","Banking",36,{"key":666,"label":667,"count":668},"financial markets infrastructure","Financial Markets Infrastructure",19,{"key":670,"label":671,"count":672},"data","Data",16,{"key":674,"label":675,"count":676},"asset management","Asset Management",10,{"key":678,"label":679,"count":29},"data provider","Data Provider",{"key":681,"label":682,"count":29},"property","Property",{"key":684,"label":685,"count":29},"casualty insurance","Casualty Insurance",{"key":687,"label":688,"count":59},"wealth management","Wealth Management",{"key":690,"label":691,"count":43},"life","Life",{"key":693,"label":39,"count":43},"risk management",[695,698,701],{"key":27,"label":696,"count":697},"PERMANENT",145,{"key":699,"label":700,"count":67},"student","STUDENT",{"key":702,"label":703,"count":43},"temporary","TEMPORARY",[705,707,710,713,716,719,722,725,729,731,734,737,740,743,746,750,753,756,758,761,764,766,769,771],{"key":706,"label":40,"slug":706,"count":5},"data-quality",{"key":708,"label":147,"slug":708,"count":709},"data-governance",103,{"key":711,"label":274,"slug":711,"count":712},"data-engineering",49,{"key":714,"label":535,"slug":714,"count":715},"data-lineage",39,{"key":717,"label":39,"slug":717,"count":718},"risk-management",30,{"key":720,"label":530,"slug":720,"count":721},"data-architecture",29,{"key":723,"label":395,"slug":723,"count":724},"data-modeling",28,{"key":726,"label":727,"slug":726,"count":728},"metadata-management","Metadata Management",27,{"key":730,"label":394,"slug":730,"count":728},"data-integration",{"key":732,"label":277,"slug":732,"count":733},"data-analysis",26,{"key":735,"label":579,"slug":735,"count":736},"data-management",25,{"key":738,"label":276,"slug":738,"count":739},"data-security",24,{"key":741,"label":35,"slug":741,"count":742},"process-improvement",22,{"key":744,"label":745,"slug":744,"count":742},"project-management","Project management",{"key":747,"label":748,"slug":747,"count":749},"regulatory-compliance","Regulatory Compliance",21,{"key":751,"label":392,"slug":751,"count":752},"data-warehousing",18,{"key":754,"label":600,"slug":754,"count":755},"business-analysis",15,{"key":757,"label":421,"slug":757,"count":755},"automation",{"key":759,"label":397,"slug":759,"count":760},"data-transformation",13,{"key":762,"label":763,"slug":762,"count":760},"agile-delivery","Agile Delivery",{"key":765,"label":581,"slug":765,"count":760},"data-modelling",{"key":767,"label":281,"slug":767,"count":768},"machine-learning",12,{"key":770,"label":534,"slug":770,"count":768},"business-intelligence",{"key":772,"label":773,"slug":772,"count":774},"compliance","Compliance",11,[776,779,782,786,790,793,796,798,801,805,808,811,815,818,820,823,826,828,830,832,834,836,839,842],{"key":777,"label":62,"slug":777,"count":778},"sql",93,{"key":780,"label":61,"slug":780,"count":781},"python",88,{"key":783,"label":784,"slug":783,"count":785},"aws","Aws",35,{"key":787,"label":788,"slug":787,"count":789},"cicd","Ci\u002FCd",33,{"key":791,"label":500,"slug":791,"count":792},"snowflake",32,{"key":794,"label":795,"slug":794,"count":721},"ms-powerbi","MS PowerBI",{"key":797,"label":258,"slug":797,"count":739},"databricks",{"key":799,"label":800,"slug":799,"count":749},"ms-azure","MS Azure",{"key":802,"label":803,"slug":802,"count":804},"kafka","Kafka",17,{"key":806,"label":807,"slug":806,"count":804},"pyspark","Pyspark",{"key":809,"label":810,"slug":809,"count":755},"etl","Etl",{"key":812,"label":813,"slug":812,"count":814},"java","Java",14,{"key":816,"label":817,"slug":816,"count":814},"tableau","Tableau",{"key":819,"label":384,"slug":819,"count":814},"spark",{"key":821,"label":822,"slug":821,"count":814},"terraform","Terraform",{"key":824,"label":825,"slug":824,"count":760},"gcp","Gcp",{"key":827,"label":507,"slug":827,"count":768},"docker",{"key":829,"label":637,"slug":829,"count":768},"microsoft-fabric",{"key":831,"label":508,"slug":831,"count":768},"kubernetes",{"key":833,"label":642,"slug":833,"count":768},"git",{"key":835,"label":504,"slug":835,"count":768},"apache-spark",{"key":837,"label":838,"slug":837,"count":768},"ms-excel","MS Excel",{"key":840,"label":841,"slug":840,"count":774},"ai-tools","Ai Tools",{"key":723,"label":395,"slug":723,"count":774},[844,846,847,849,850,853,854,856,857,859,860,862,863,865],{"key":23,"label":23,"count":845},58,{"key":380,"label":380,"count":736},{"key":167,"label":167,"count":848},20,{"key":56,"label":56,"count":774},{"key":851,"label":851,"count":852},"CAD",9,{"key":332,"label":332,"count":852},{"key":617,"label":617,"count":855},5,{"key":414,"label":414,"count":855},{"key":858,"label":858,"count":67},"MYR",{"key":125,"label":125,"count":29},{"key":861,"label":861,"count":59},"CHF",{"key":454,"label":454,"count":43},{"key":864,"label":864,"count":43},"BRL",{"key":96,"label":96,"count":43},[867,869],{"key":26,"label":26,"count":868},153,{"key":870,"label":870,"count":29},"PART_TIME",{"total":43,"jobs":872},[]]