[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-global":3,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=46":4,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=46":380,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=46":1031},{},{"industry":5,"employment_type":95,"expertise_skills":112,"it_skills":204,"salary_currency":296,"processed_working_hours":373},[6,10,14,18,22,26,30,34,38,42,46,50,53,57,60,64,67,70,74,78,82,85,89,92],{"key":7,"label":8,"count":9},"financial services","Financial Services",938,{"key":11,"label":12,"count":13},"insurance","Insurance",550,{"key":15,"label":16,"count":17},"banking","Banking",490,{"key":19,"label":20,"count":21},"financial markets infrastructure","Financial Markets Infrastructure",240,{"key":23,"label":24,"count":25},"data","Data",139,{"key":27,"label":28,"count":29},"data provider","Data Provider",107,{"key":31,"label":32,"count":33},"asset management","Asset Management",106,{"key":35,"label":36,"count":37},"financial technology","Financial Technology",33,{"key":39,"label":40,"count":41},"wealth management","Wealth Management",22,{"key":43,"label":44,"count":45},"digital banking","Digital Banking",15,{"key":47,"label":48,"count":49},"property","Property",11,{"key":51,"label":52,"count":49},"casualty insurance","Casualty Insurance",{"key":54,"label":55,"count":56},"reinsurance","Reinsurance",10,{"key":58,"label":59,"count":56},"alternative investments","Alternative Investments",{"key":61,"label":62,"count":63},"financial advisory","Financial Advisory",9,{"key":65,"label":66,"count":63},"risk management","Risk Management",{"key":68,"label":69,"count":63},"financial market infrastructure","Financial Market Infrastructure",{"key":71,"label":72,"count":73},"technology solutions","Technology Solutions",7,{"key":75,"label":76,"count":77},"alternative asset management","Alternative Asset Management",5,{"key":79,"label":80,"count":81},"claims management","Claims Management",4,{"key":83,"label":84,"count":81},"private banking","Private Banking",{"key":86,"label":87,"count":88},"private equity","Private Equity",3,{"key":90,"label":91,"count":88},"vehicle leasing","Vehicle Leasing",{"key":93,"label":94,"count":88},"fleet management","Fleet Management",[96,100,104,108],{"key":97,"label":98,"count":99},"permanent","PERMANENT",1900,{"key":101,"label":102,"count":103},"student","STUDENT",119,{"key":105,"label":106,"count":107},"temporary","TEMPORARY",29,{"key":109,"label":110,"count":111},"contract","CONTRACT",16,[113,117,120,124,128,132,136,140,144,148,152,156,159,162,166,170,174,178,182,186,190,194,197,200],{"key":114,"label":115,"slug":114,"count":116},"data-analysis","Data Analysis",345,{"key":118,"label":66,"slug":118,"count":119},"risk-management",327,{"key":121,"label":122,"slug":121,"count":123},"data-governance","Data Governance",223,{"key":125,"label":126,"slug":125,"count":127},"project-management","Project management",210,{"key":129,"label":130,"slug":129,"count":131},"machine-learning","Machine Learning",203,{"key":133,"label":134,"slug":133,"count":135},"regulatory-compliance","Regulatory Compliance",200,{"key":137,"label":138,"slug":137,"count":139},"automation","Automation",199,{"key":141,"label":142,"slug":141,"count":143},"data-engineering","Data Engineering",161,{"key":145,"label":146,"slug":145,"count":147},"root-cause-analysis","Root Cause Analysis",141,{"key":149,"label":150,"slug":149,"count":151},"devops","Devops",134,{"key":153,"label":154,"slug":153,"count":155},"incident-management","Incident Management",132,{"key":157,"label":158,"slug":157,"count":155},"process-improvement","Process Improvement",{"key":160,"label":161,"slug":160,"count":155},"agile-methodologies","Agile Methodologies",{"key":163,"label":164,"slug":163,"count":165},"data-modeling","Data Modeling",129,{"key":167,"label":168,"slug":167,"count":169},"data-visualization","Data Visualization",128,{"key":171,"label":172,"slug":171,"count":173},"software-engineering","Software Engineering",123,{"key":175,"label":176,"slug":175,"count":177},"compliance","Compliance",121,{"key":179,"label":180,"slug":179,"count":181},"observability","Observability",112,{"key":183,"label":184,"slug":183,"count":185},"data-science","Data Science",101,{"key":187,"label":188,"slug":187,"count":189},"change-management","Change Management",98,{"key":191,"label":192,"slug":191,"count":193},"business-intelligence","Business Intelligence",94,{"key":195,"label":196,"slug":195,"count":193},"portfolio-management","Portfolio Management",{"key":198,"label":199,"slug":198,"count":193},"model-validation","Model Validation",{"key":201,"label":202,"slug":201,"count":203},"stakeholder-management","Stakeholder Management",93,[205,209,213,217,221,225,229,233,237,241,245,249,253,257,261,265,269,273,277,281,282,285,288,292],{"key":206,"label":207,"slug":206,"count":208},"python","Python",2099,{"key":210,"label":211,"slug":210,"count":212},"sql","SQL",1141,{"key":214,"label":215,"slug":214,"count":216},"aws","Aws",427,{"key":218,"label":219,"slug":218,"count":220},"ms-excel","MS Excel",409,{"key":222,"label":223,"slug":222,"count":224},"cicd","Ci\u002FCd",377,{"key":226,"label":227,"slug":226,"count":228},"java","Java",355,{"key":230,"label":231,"slug":230,"count":232},"ms-powerbi","MS PowerBI",328,{"key":234,"label":235,"slug":234,"count":236},"ms-azure","MS Azure",320,{"key":238,"label":239,"slug":238,"count":240},"kubernetes","Kubernetes",291,{"key":242,"label":243,"slug":242,"count":244},"r","R",288,{"key":246,"label":247,"slug":246,"count":248},"git","Git",265,{"key":250,"label":251,"slug":250,"count":252},"terraform","Terraform",250,{"key":254,"label":255,"slug":254,"count":256},"docker","Docker",231,{"key":258,"label":259,"slug":258,"count":260},"tableau","Tableau",191,{"key":262,"label":263,"slug":262,"count":264},"powershell","Powershell",179,{"key":266,"label":267,"slug":266,"count":268},"sas","Sas",159,{"key":270,"label":271,"slug":270,"count":272},"javascript","Javascript",146,{"key":274,"label":275,"slug":274,"count":276},"vba","Vba",144,{"key":278,"label":279,"slug":278,"count":280},"jenkins","Jenkins",140,{"key":129,"label":130,"slug":129,"count":25},{"key":283,"label":284,"slug":283,"count":25},"linux","Linux",{"key":286,"label":287,"slug":286,"count":25},"snowflake","Snowflake",{"key":289,"label":290,"slug":289,"count":291},"c","C#",138,{"key":293,"label":294,"slug":293,"count":295},"gcp","Gcp",133,[297,300,303,306,309,312,314,317,320,323,325,327,330,333,335,337,339,342,344,347,349,351,353,355,357,359,362,365,367,369,371],{"key":298,"label":298,"count":299},"USD",704,{"key":301,"label":301,"count":302},"EUR",342,{"key":304,"label":304,"count":305},"INR",229,{"key":307,"label":307,"count":308},"CAD",173,{"key":310,"label":310,"count":311},"SGD",153,{"key":313,"label":313,"count":272},"GBP",{"key":315,"label":315,"count":316},"MYR",85,{"key":318,"label":318,"count":319},"PHP",52,{"key":321,"label":321,"count":322},"HKD",37,{"key":324,"label":324,"count":37},"PLN",{"key":326,"label":326,"count":107},"CHF",{"key":328,"label":328,"count":329},"MXN",18,{"key":331,"label":331,"count":332},"BRL",14,{"key":334,"label":334,"count":49},"THB",{"key":336,"label":336,"count":63},"AUD",{"key":338,"label":338,"count":63},"VND",{"key":340,"label":340,"count":341},"CNY",8,{"key":343,"label":343,"count":341},"TRY",{"key":345,"label":345,"count":346},"PEN",6,{"key":348,"label":348,"count":77},"TWD",{"key":350,"label":350,"count":77},"LKR",{"key":352,"label":352,"count":77},"JPY",{"key":354,"label":354,"count":81},"HUF",{"key":356,"label":356,"count":81},"COP",{"key":358,"label":358,"count":88},"RON",{"key":360,"label":360,"count":361},"IDR",2,{"key":363,"label":363,"count":364},"MZN",1,{"key":366,"label":366,"count":364},"VES",{"key":368,"label":368,"count":364},"CLP",{"key":370,"label":370,"count":364},"KRW",{"key":372,"label":372,"count":364},"CZK",[374,377],{"key":375,"label":375,"count":376},"FULL_TIME",2078,{"key":378,"label":378,"count":379},"PART_TIME",38,{"total":208,"jobs":381},[382,420,448,472,500,537,557,604,628,644,676,718,748,768,830,864,912,952,975,1000],{"id":383,"slug":384,"title":385,"raw_title":386,"is_featured":387,"company":388,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":391,"processed_country_iso_code_gmaps":393,"processed_home_office":395,"processed_salary_min":396,"processed_salary_max":397,"processed_salary_currency":298,"processed_salary_source":398,"processed_working_hours":399,"processed_employment_types":97,"processed_it_skills":400,"processed_it_skills_labels":401,"processed_job_expertise_skills":409,"processed_job_expertise_skills_labels":410,"max_cpc":364,"actual_cpc":364},92305,"afc-modelling-data-scientist-transaction-monitoring-vice-president-6301-db-usa-core-corporation","AFC Modelling - Data Scientist (Transaction Monitoring) - Vice President",null,false,{"name":389,"slug":390,"logo_url":386},"6301 DB USA Core Corporation","6301-db-usa-core-corporation",[392],"New York",[394],"US","hybrid",155000,252500,"estimated",[375],{"sql":81,"hive":88,"numpy":81,"spark":88,"hadoop":88,"pandas":81,"python":81,"scikit-learn":81,"cloud-based analytics platforms":88},[207,402,403,404,211,405,406,407,408],"Pandas","NumPy","Scikit-learn","Hadoop","Hive","Spark","Cloud-based analytics platforms",{"data modeling":81,"financial crime":88,"fraud detection":88,"risk management":88,"machine learning":81,"model governance":88,"advanced analytics":81,"sanctions screening":88,"statistical modeling":81,"regulatory technology":88,"transaction monitoring":88,"anti-money laundering (aml)":88},[130,411,412,164,413,414,415,416,66,417,418,419],"Statistical Modeling","Advanced Analytics","Model Governance","Anti-Money Laundering (AML)","Financial Crime","Fraud Detection","Transaction Monitoring","Sanctions Screening","Regulatory Technology",{"id":421,"slug":422,"title":423,"raw_title":386,"is_featured":387,"company":424,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":427,"processed_country_iso_code_gmaps":428,"processed_home_office":395,"processed_salary_min":429,"processed_salary_max":430,"processed_salary_currency":298,"processed_salary_source":398,"processed_working_hours":431,"processed_employment_types":97,"processed_it_skills":432,"processed_it_skills_labels":433,"processed_job_expertise_skills":440,"processed_job_expertise_skills_labels":441,"max_cpc":364,"actual_cpc":364},87415,"sr-data-engineer-sedgwick-claims-management-services-inc","Sr. Data Engineer",{"name":425,"slug":426,"logo_url":386},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[394],120000,160000,[375],{"aws":361,"dbt":88,"sql":81,"ci\u002Fcd":88,"python":81,"snowflake":81,"azure functions":88,"azure data factory":88,"azure stream analytics":88},[287,207,211,434,435,436,437,438,439],"dbt","Azure Data Factory","Azure Functions","Azure Stream Analytics","AWS","CI\u002FCD",{"mentorship":88,"data modeling":81,"data governance":88,"semantic layers":88,"team management":88,"data engineering":81,"metadata management":88,"reference architecture":88,"data pipeline architecture":81},[142,442,164,443,444,445,122,446,447],"Data Pipeline Architecture","Semantic Layers","Metadata Management","Reference Architecture","Team Management","Mentorship",{"id":449,"slug":450,"title":451,"raw_title":386,"is_featured":387,"company":452,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":455,"processed_country_iso_code_gmaps":457,"processed_home_office":459,"processed_salary_min":460,"processed_salary_max":461,"processed_salary_currency":307,"processed_salary_source":398,"processed_working_hours":462,"processed_employment_types":97,"processed_it_skills":463,"processed_it_skills_labels":464,"processed_job_expertise_skills":465,"processed_job_expertise_skills_labels":466,"max_cpc":364,"actual_cpc":364},98429,"manager-pricing-analytics-meloche-monnex-inc","Manager Pricing Analytics",{"name":453,"slug":454,"logo_url":386},"Meloche Monnex Inc.","meloche-monnex-inc",[456],"Montreal",[458],"CA","onsite",140000,165000,[375],{"python":88},[207],{"data science":81,"machine learning":81,"model governance":88,"actuarial science":81,"strategic planning":81,"feature engineering":88,"stakeholder management":81,"model architecture design":88,"property & casualty insurance":81},[467,468,130,184,413,202,469,470,471],"Actuarial Science","Property & Casualty Insurance","Strategic Planning","Feature Engineering","Model Architecture Design",{"id":473,"slug":474,"title":475,"raw_title":386,"is_featured":387,"company":476,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":479,"processed_country_iso_code_gmaps":481,"processed_home_office":459,"processed_salary_min":482,"processed_salary_max":483,"processed_salary_currency":298,"processed_salary_source":398,"processed_working_hours":484,"processed_employment_types":97,"processed_it_skills":485,"processed_it_skills_labels":486,"processed_job_expertise_skills":490,"processed_job_expertise_skills_labels":491,"max_cpc":364,"actual_cpc":364},83597,"pricing-analyst-ii-government-employees-insurance-company","Pricing Analyst II",{"name":477,"slug":478,"logo_url":386},"Government Employees Insurance Company","government-employees-insurance-company",[480],"Cleveland",[394],51250,115825,[375],{"r":88,"sas":88,"sql":88,"excel":88,"python":88,"power bi":88},[243,487,211,207,488,489],"SAS","Power BI","Excel",{"ratemaking":81,"rate reviews":81,"data analysis":81,"pricing analysis":81,"insurance filings":81,"loss trend analysis":81,"statistical analysis":81,"business communication":81,"insurance product development":81},[492,493,494,495,496,497,498,499,115],"Pricing Analysis","Statistical Analysis","Ratemaking","Rate Reviews","Insurance Filings","Loss Trend Analysis","Insurance Product Development","Business Communication",{"id":501,"slug":502,"title":503,"raw_title":386,"is_featured":387,"company":504,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":508,"processed_country_iso_code_gmaps":510,"processed_home_office":395,"processed_salary_min":512,"processed_salary_max":429,"processed_salary_currency":301,"processed_salary_source":398,"processed_working_hours":513,"processed_employment_types":97,"processed_it_skills":514,"processed_it_skills_labels":515,"processed_job_expertise_skills":525,"processed_job_expertise_skills_labels":526,"max_cpc":364,"actual_cpc":364},84247,"senior-red-team-operator-ing-bank-personeel-bv-2","Senior Red Team Operator",{"name":505,"slug":506,"logo_url":507},"ING Bank Personeel BV","ing-bank-personeel-bv","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[509],"Amsterdam",[511],"NL",80000,[375],{"c#":81,"go":81,"aws":81,"c++":81,"gcp":81,"rust":81,"azure":81,"python":88,"sliver":81,"powershell":88,"cobalt strike":81,"active directory":81},[516,290,517,518,207,519,520,438,521,522,523,524],"C++","Go","Rust","PowerShell","Azure","GCP","Active Directory","Cobalt Strike","Sliver",{"red teaming":81,"cloud security":81,"purple teaming":81,"report writing":81,"threat emulation":81,"penetration testing":81,"custom tool development":81,"active directory security":81,"operational security (opsec)":81,"command and control (c2) infrastructure":81},[527,528,529,530,531,532,533,534,535,536],"Red Teaming","Penetration Testing","Operational Security (OPSEC)","Command and Control (C2) Infrastructure","Purple Teaming","Custom Tool Development","Threat Emulation","Report Writing","Cloud Security","Active Directory Security",{"id":538,"slug":539,"title":540,"raw_title":386,"is_featured":387,"company":541,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":542,"processed_country_iso_code_gmaps":543,"processed_home_office":459,"processed_salary_min":544,"processed_salary_max":545,"processed_salary_currency":298,"processed_salary_source":398,"processed_working_hours":546,"processed_employment_types":386,"processed_it_skills":547,"processed_it_skills_labels":548,"processed_job_expertise_skills":549,"processed_job_expertise_skills_labels":550,"max_cpc":364,"actual_cpc":364},87373,"director-of-product-management-data-science-sedgwick-claims-management-services-inc","Director of Product Management, Data Science",{"name":425,"slug":426,"logo_url":386},[],[394],150000,200000,[375],{"r":361,"sql":361,"python":361},[207,243,211],{"forecasting":81,"data privacy":88,"data science":81,"data literacy":88,"machine learning":81,"model governance":81,"product management":81,"agile methodologies":81,"experimental design":88,"predictive modeling":81,"portfolio management":81,"statistical analysis":81},[551,184,552,493,553,161,413,554,555,196,130,556],"Product Management","Predictive Modeling","Forecasting","Data Privacy","Experimental Design","Data Literacy",{"id":558,"slug":559,"title":560,"raw_title":386,"is_featured":387,"company":561,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":564,"processed_country_iso_code_gmaps":566,"processed_home_office":395,"processed_salary_min":429,"processed_salary_max":568,"processed_salary_currency":310,"processed_salary_source":398,"processed_working_hours":569,"processed_employment_types":109,"processed_it_skills":570,"processed_it_skills_labels":571,"processed_job_expertise_skills":587,"processed_job_expertise_skills_labels":588,"max_cpc":364,"actual_cpc":364},84862,"12-months-contract-technical-scrum-master-devops-practitioner-through-an-external-agency-payroll-provider-bank-julius-baer-co-ltd-singapore-branch","12 months Contract - Technical Scrum Master & DevOps Practitioner (Through an External Agency Payroll Provider)",{"name":562,"slug":563,"logo_url":386},"Bank Julius Baer & Co. Ltd., Singapore Branch","bank-julius-baer-co-ltd-singapore-branch",[565],"Singapore",[567],"SG",180000,[375],{"aks":88,"bash":88,"java":361,"jira":88,"rest":361,"azure":88,"kafka":361,"linux":88,"maven":88,"gitlab":88,"python":88,"grafana":361,"graphql":361,"jenkins":88,"octopus":88,"websocket":361,"confluence":88,"kubernetes":88,"websphere mq":361,"elasticsearch":361,"opentelemetry":361},[572,573,284,574,207,279,575,576,577,239,520,578,579,580,581,582,583,584,585,586,227],"Jira","Confluence","Bash","GitLab","Octopus","Maven","AKS","REST","GraphQL","Websocket","Kafka","Websphere MQ","Grafana","ElasticSearch","OpenTelemetry",{"safe":81,"ci\u002Fcd":88,"devops":88,"web apis":361,"packaging":88,"automation":88,"deployment":88,"market data":88,"scrum master":81,"observability":361,"agile coaching":81,"risk management":88,"trading platforms":88,"process optimization":88,"regulatory compliance":88,"stakeholder management":81,"trading flow knowledge":88,"risk management systems":88,"configuration management":88,"middleware configuration":361,"software project delivery":81},[589,590,591,592,439,593,594,595,596,597,202,598,138,599,600,601,180,602,603,134,66],"Scrum Master","SAFe","Agile Coaching","DevOps","Software Project Delivery","Trading Flow Knowledge","Market Data","Trading Platforms","Risk Management Systems","Process Optimization","Configuration Management","Packaging","Deployment","Middleware Configuration","Web APIs",{"id":605,"slug":606,"title":607,"raw_title":386,"is_featured":387,"company":608,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":609,"processed_country_iso_code_gmaps":610,"processed_home_office":459,"processed_salary_min":611,"processed_salary_max":612,"processed_salary_currency":307,"processed_salary_source":398,"processed_working_hours":613,"processed_employment_types":97,"processed_it_skills":614,"processed_it_skills_labels":615,"processed_job_expertise_skills":617,"processed_job_expertise_skills_labels":618,"max_cpc":364,"actual_cpc":364},98404,"actuarial-analyst-meloche-monnex-inc","Actuarial Analyst",{"name":453,"slug":454,"logo_url":386},[456],[458],85000,110000,[375],{"aws":361,"gcp":361,"azure":361,"spark":361,"python":88,"snowflake":361,"databricks":361},[207,438,520,521,616,287,407],"Databricks",{"pricing":88,"cloud computing":361,"machine learning":88,"model governance":88,"data architecture":361,"big data technologies":361,"statistical techniques":81,"actuarial predictive modeling":81,"property & casualty insurance":81},[619,620,621,622,623,624,625,626,627],"Actuarial predictive modeling","Statistical techniques","Machine learning","Model governance","Property & Casualty insurance","Pricing","Cloud computing","Big data technologies","Data architecture",{"id":629,"slug":630,"title":631,"raw_title":386,"is_featured":387,"company":632,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":633,"processed_country_iso_code_gmaps":634,"processed_home_office":395,"processed_salary_min":635,"processed_salary_max":636,"processed_salary_currency":307,"processed_salary_source":398,"processed_working_hours":637,"processed_employment_types":97,"processed_it_skills":638,"processed_it_skills_labels":639,"processed_job_expertise_skills":640,"processed_job_expertise_skills_labels":641,"max_cpc":364,"actual_cpc":364},98407,"actuarial-analyst-iii-meloche-monnex-inc-2","Actuarial Analyst III",{"name":453,"slug":454,"logo_url":386},[456],[458],100000,130000,[375],{"r":88,"sql":81,"python":81,"tableau":88,"power bi":88,"databricks":88},[211,207,243,616,488,259],{"audit":88,"data analysis":81,"risk management":81,"pricing analysis":88,"actuarial science":81,"process improvement":88,"financial projections":88,"regulatory compliance":88,"property & casualty insurance":81},[467,468,115,66,642,492,134,643,158],"Financial Projections","Audit",{"id":645,"slug":646,"title":647,"raw_title":386,"is_featured":387,"company":648,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":651,"processed_country_iso_code_gmaps":653,"processed_home_office":395,"processed_salary_min":544,"processed_salary_max":545,"processed_salary_currency":298,"processed_salary_source":398,"processed_working_hours":654,"processed_employment_types":97,"processed_it_skills":655,"processed_it_skills_labels":656,"processed_job_expertise_skills":665,"processed_job_expertise_skills_labels":666,"max_cpc":364,"actual_cpc":364},83543,"application-engineering-manager-great-american-insurance-company","Application Engineering Manager",{"name":649,"slug":650,"logo_url":386},"Great American Insurance Company","great-american-insurance-company",[652],"Cincinnati",[394],[375],{"aws":88,".net":88,"java":88,"azure":88,"rally":88,"claude":88,"openai":88,"oracle":88,"python":88,"snowflake":88,"sql server":88,"github copilot":88,"api development":88},[207,227,657,658,659,287,520,438,660,661,662,663,664],".NET","SQL Server","Oracle","GitHub Copilot","Claude","OpenAI","Rally","API development",{"sdlc":81,"cloud platforms":88,"machine learning":88,"budget management":88,"strategic planning":81,"process improvement":81,"software development":81,"ai-enabled development":88,"performance management":81,"application development":81,"requirements documentation":88,"agile methodologies (scrum, kanban, xp)":81},[667,668,669,130,670,469,158,671,672,673,674,675],"Software Development","Application Development","Agile Methodologies (Scrum, Kanban, XP)","SDLC","Budget Management","Performance Management","Requirements Documentation","Cloud Platforms","AI-enabled Development",{"id":677,"slug":678,"title":679,"raw_title":386,"is_featured":387,"company":680,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":683,"processed_country_iso_code_gmaps":685,"processed_home_office":459,"processed_salary_min":429,"processed_salary_max":430,"processed_salary_currency":298,"processed_salary_source":398,"processed_working_hours":686,"processed_employment_types":97,"processed_it_skills":687,"processed_it_skills_labels":688,"processed_job_expertise_skills":695,"processed_job_expertise_skills_labels":696,"max_cpc":364,"actual_cpc":364},95038,"principal-network-engineer-refinitiv-us-llc","Principal Network Engineer",{"name":681,"slug":682,"logo_url":386},"Refinitiv US LLC","refinitiv-us-llc",[684],"Creve Coeur",[394],[375],{"sdn":88,"vxlan":88,"python":88,"ansible":88,"cisco aci":88,"packet capture tools":88,"packet analysis tools":88},[207,689,690,691,692,693,694],"Ansible","Cisco ACI","VxLAN","SDN","Packet analysis tools","Packet Capture tools",{"bgp":81,"gre":81,"lan":81,"nat":81,"vpn":81,"wan":81,"hsrp":81,"itil":88,"mpls":81,"ospf":81,"tcp\u002Fip":88,"documentation":88,"network security":88,"data centre networking":88,"low-latency technologies":88,"network capacity planning":88,"load balancing technologies":88,"network upgrades coordination":88,"system performance monitoring":88,"routing and switching protocols":81,"multicast concepts (igmp, rp, pim)":88},[697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717],"Routing and switching protocols","LAN","WAN","HSRP","NAT","MPLS","VPN","GRE","BGP","OSPF","Multicast concepts (IGMP, RP, PIM)","Low-latency technologies","Data Centre Networking","Network security","Load balancing technologies","TCP\u002FIP","ITIL","Network capacity planning","Network upgrades coordination","Documentation","System performance monitoring",{"id":719,"slug":720,"title":721,"raw_title":386,"is_featured":387,"company":722,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":725,"processed_country_iso_code_gmaps":727,"processed_home_office":395,"processed_salary_min":729,"processed_salary_max":512,"processed_salary_currency":313,"processed_salary_source":398,"processed_working_hours":730,"processed_employment_types":97,"processed_it_skills":731,"processed_it_skills_labels":732,"processed_job_expertise_skills":739,"processed_job_expertise_skills_labels":740,"max_cpc":364,"actual_cpc":364},95624,"analystassociate-efx-client-services-mufg-united-kingdom-btmu","Analyst\u002FAssociate eFX Client Services",{"name":723,"slug":724,"logo_url":386},"MUFG - United Kingdom (BTMU)","mufg-united-kingdom-btmu",[726],"London",[728],"GB",50000,[375],{"api":361,"kdb\u002Fq":361,"python":361,"tableau":361,"power bi":361,"microsoft word":88,"microsoft excel":81,"microsoft outlook":88,"microsoft powerpoint":88},[733,734,735,736,259,488,207,737,738],"Microsoft Excel","Microsoft PowerPoint","Microsoft Word","Microsoft Outlook","KDB\u002Fq","API",{"data analysis":88,"trade support":81,"client services":81,"client onboarding":88,"process improvement":88,"management reporting":88,"project coordination":88,"regulatory compliance":88,"foreign exchange markets":81,"electronic trading workflows":81},[741,742,743,744,134,745,115,746,747,158],"Foreign Exchange Markets","Electronic Trading Workflows","Client Services","Trade Support","Project Coordination","Client Onboarding","Management Reporting",{"id":749,"slug":750,"title":751,"raw_title":386,"is_featured":387,"company":752,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":753,"processed_country_iso_code_gmaps":754,"processed_home_office":459,"processed_salary_min":755,"processed_salary_max":756,"processed_salary_currency":307,"processed_salary_source":398,"processed_working_hours":757,"processed_employment_types":97,"processed_it_skills":758,"processed_it_skills_labels":759,"processed_job_expertise_skills":760,"processed_job_expertise_skills_labels":761,"max_cpc":364,"actual_cpc":364},98413,"business-insights-analyst-ii-meloche-monnex-inc-2","Business Insights Analyst II",{"name":453,"slug":454,"logo_url":386},[456],[458],79100,111700,[375],{"r":88,"sql":81,"python":81,"tableau":88,"power bi":88,"databricks":88},[211,207,243,616,488,259],{"automation":88,"statistics":81,"data science":88,"data analysis":81,"risk management":88,"business analytics":81,"data visualization":81,"financial analysis":88,"project management":88,"business intelligence":81,"artificial intelligence":88,"performance measurement":81},[762,184,763,764,192,115,168,765,66,766,138,767],"Business Analytics","Statistics","Performance Measurement","Project Management","Financial Analysis","Artificial Intelligence",{"id":769,"slug":770,"title":771,"raw_title":386,"is_featured":387,"company":772,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":775,"processed_country_iso_code_gmaps":777,"processed_home_office":395,"processed_salary_min":779,"processed_salary_max":780,"processed_salary_currency":304,"processed_salary_source":398,"processed_working_hours":781,"processed_employment_types":97,"processed_it_skills":782,"processed_it_skills_labels":783,"processed_job_expertise_skills":813,"processed_job_expertise_skills_labels":814,"max_cpc":364,"actual_cpc":364},83074,"data-science-and-ai-engineering-lead-vp-f337-deutsche-india-private-limited-pune-branch","Data Science and AI Engineering Lead​, VP",{"name":773,"slug":774,"logo_url":386},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[776],"Pune",[778],"IN",5000000,8000000,[375],{"adk":81,"gke":81,"sql":88,"java":88,"flask":81,"neo4j":81,"redis":81,"spark":81,"denodo":81,"github":81,"looker":81,"mlflow":81,"python":81,"fastapi":81,"fastmcp":81,"mongodb":81,"pytorch":81,"vs code":81,"bigquery":81,"cloudsql":81,"pinecone":81,"langchain":81,"langgraph":81,"snowflake":81,"databricks":81,"postgresql":81,"tensorflow":81,"claude code":81,"gcp cloudrun":81,"hugging face":81,"scikit-learn":81,"cloud composer":81,"github copilot":81,"google vertexai":81,"jupyter notebook":81,"weights and biases":81},[207,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,407,809,810,616,811,287,211,227,812,660],"FastAPI","Flask","FastMcp","LangGraph","ADK","Google VertexAI","GitHub","VS Code","PyTorch","TensorFlow","scikit-learn","MLflow","Weights and Biases","Jupyter Notebook","Hugging Face","Langchain","Neo4J","GCP CloudRun","GKE","BigQuery","Cloud Composer","CloudSQL","Looker","PostgreSQL","Pinecone","MongoDB","Redis","Denodo","Claude Code",{"deployment":81,"roi analysis":88,"ai governance":81,"api architecture":81,"data engineering":81,"budget management":88,"people management":81,"ai risk management":81,"feature engineering":81,"ai model integration":81,"ai model optimization":81,"data product creation":81,"performance monitoring":81,"testing and validation":81,"research and innovation":81,"ai solution architecture":81,"cross-functional collaboration":81,"cloud infrastructure management":81,"software development lifecycle (sdlc)":81},[815,816,817,818,819,820,821,822,142,470,823,824,825,601,826,827,828,671,829],"AI Solution Architecture","AI Model Integration","AI Model Optimization","API Architecture","Cloud Infrastructure Management","AI Governance","AI Risk Management","Software Development Lifecycle (SDLC)","Data Product Creation","Performance Monitoring","Testing and Validation","Research and Innovation","Cross-Functional Collaboration","People Management","ROI Analysis",{"id":831,"slug":832,"title":833,"raw_title":386,"is_featured":387,"company":834,"raw_hiringOrganization_logo_url":837,"processed_city_gmaps":838,"processed_country_iso_code_gmaps":840,"processed_home_office":395,"processed_salary_min":842,"processed_salary_max":843,"processed_salary_currency":301,"processed_salary_source":398,"processed_working_hours":844,"processed_employment_types":101,"processed_it_skills":845,"processed_it_skills_labels":846,"processed_job_expertise_skills":856,"processed_job_expertise_skills_labels":857,"max_cpc":364,"actual_cpc":364},89108,"werksstudent-full-stack-app-entwicklung-mwd-arag-se","Werksstudent Full-Stack App Entwicklung (m\u002Fw\u002Fd)",{"name":835,"slug":836,"logo_url":837},"ARAG SE","arag-se","https:\u002F\u002Fwww.karriere-bei-arag.de\u002Fuploads\u002F726\u002Fsettings\u002Fcreators\u002Farag-zentrale-306-606c6ea26a090.png",[839],"Düsseldorf",[841],"DE",15000,20000,[378],{"git":364,"nivo":364,"azure":364,"react":361,"python":361,"fastapi":361,"next.js":361,"r shiny":361,"databases":361,"rest apis":361,"shadcn\u002Fui":364,"databricks":364,"typescript":361,"tailwind css":364},[847,784,520,848,849,207,850,851,852,853,616,247,854,855],"React","R Shiny","Next.js","TypeScript","shadcn\u002Fui","Tailwind CSS","Nivo","REST APIs","Databases",{"ui\u002Fux design":364,"web development":361,"finance knowledge":364,"frontend development":361,"full-stack development":361,"data-driven applications":361},[858,859,860,861,862,863],"Full-Stack Development","Frontend Development","Web Development","UI\u002FUX Design","Data-Driven Applications","Finance Knowledge",{"id":865,"slug":866,"title":867,"raw_title":386,"is_featured":387,"company":868,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":871,"processed_country_iso_code_gmaps":873,"processed_home_office":395,"processed_salary_min":875,"processed_salary_max":876,"processed_salary_currency":301,"processed_salary_source":398,"processed_working_hours":877,"processed_employment_types":97,"processed_it_skills":878,"processed_it_skills_labels":879,"processed_job_expertise_skills":894,"processed_job_expertise_skills_labels":895,"max_cpc":364,"actual_cpc":364},84564,"lightweight-directory-access-protocol-oralce-ldap-environment-engineer-coba-nearshoring-sofia-bg","Lightweight Directory Access Protocol ( Oralce LDAP) environment engineer",{"name":869,"slug":870,"logo_url":386},"CoBa Nearshoring Sofia BG","coba-nearshoring-sofia-bg",[872],"Sofia",[874],"BG",60000,90000,[375],{"iam":88,"pam":361,"sso":88,"ldap":81,"ldif":81,"perl":361,"siem":361,"python":361,"tls\u002Fssl":88,"kerberos":81,"shell scripting":361,"release management":361,"version control systems":361,"oracle unified directory":81,"ansible automation platform":361},[880,881,882,883,207,884,885,886,887,888,889,890,891,892,893],"Oracle Unified Directory","LDAP","LDIF","Kerberos","Perl","Shell scripting","Ansible Automation Platform","SIEM","PAM","TLS\u002FSSL","SSO","IAM","Version control systems","Release management",{"unix permissions":81,"security patching":361,"system monitoring":88,"security compliance":88,"project participation":361,"application integration":88,"performance optimization":88,"ldap directory management":81,"role based access control":81,"access control lists (acls)":81,"backup and disaster recovery":81,"oracle solaris administration":88,"identity and access management":81,"authentication and authorization":81,"red hat enterprise linux administration":88,"ldap server installation and configuration":81},[896,897,898,899,900,901,902,903,904,905,906,907,908,909,910,911],"LDAP server installation and configuration","LDAP directory management","Backup and disaster recovery","System monitoring","Authentication and authorization","Access control lists (ACLs)","Security compliance","Application integration","Unix permissions","Role Based Access Control","Identity and Access Management","Red Hat Enterprise Linux administration","Oracle Solaris administration","Security patching","Performance optimization","Project participation",{"id":913,"slug":914,"title":915,"raw_title":386,"is_featured":387,"company":916,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":920,"processed_country_iso_code_gmaps":922,"processed_home_office":459,"processed_salary_min":612,"processed_salary_max":460,"processed_salary_currency":326,"processed_salary_source":398,"processed_working_hours":924,"processed_employment_types":97,"processed_it_skills":925,"processed_it_skills_labels":926,"processed_job_expertise_skills":937,"processed_job_expertise_skills_labels":938,"max_cpc":364,"actual_cpc":364},88975,"aml-application-engineer-bank-vontobel-ag","AML Application Engineer",{"name":917,"slug":918,"logo_url":919},"Bank Vontobel AG","bank-vontobel-ag","https:\u002F\u002Fimg.vontobel.com\u002Fcorpweb\u002Fimage\u002Fupload\u002Fmedia\u002Fsiteassets\u002F00_general\u002Fexternally_referenced\u002Fvontobelholdingag-bimi.svg",[921],"Zürich",[923],"CH",[375],{"sql":81,"helm":81,"java":88,"github":81,"pl-sql":81,"python":81,"spring":88,"openshift":81,"kubernetes":81,"postgresql":81,"data analytics":81,"api development":81,"oracle database":81,"neo4j graph database":88,"artificial intelligence (ai)":81,"messaging and integration technologies":81},[207,790,239,927,928,929,807,211,930,227,931,932,933,934,935,936],"OpenShift","Helm","Oracle Database","PL-SQL","Spring","Neo4j Graph Database","API Development","Messaging and Integration Technologies","Data Analytics","Artificial Intelligence (AI)",{"kyc":81,"automation":81,"auditability":81,"traceability":81,"aml processes":81,"pep screening":81,"risk management":81,"budget management":81,"vendor management":81,"data visualization":81,"application support":81,"sanctions screening":81,"software engineering":81,"regulatory compliance":81,"system implementation":81,"transaction screening":81,"adverse media screening":81,"technical project management":81,"technical operations engineering":81,"compliance and aml technology solutions":81},[172,939,940,941,418,942,943,944,945,946,947,948,134,949,950,138,168,951,671,66],"Technical Operations Engineering","Application Support","Compliance and AML Technology Solutions","PEP Screening","Adverse Media Screening","Transaction Screening","AML Processes","KYC","System Implementation","Technical Project Management","Auditability","Traceability","Vendor Management",{"id":953,"slug":954,"title":955,"raw_title":386,"is_featured":387,"company":956,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":959,"processed_country_iso_code_gmaps":961,"processed_home_office":459,"processed_salary_min":429,"processed_salary_max":568,"processed_salary_currency":315,"processed_salary_source":398,"processed_working_hours":963,"processed_employment_types":97,"processed_it_skills":964,"processed_it_skills_labels":965,"processed_job_expertise_skills":966,"processed_job_expertise_skills_labels":967,"max_cpc":364,"actual_cpc":364},86753,"independent-credit-review-model-risk-management-lead-ytl-digital-bank-berhad-registration-no-202201037182-1482879-p","Independent Credit Review & Model Risk Management Lead",{"name":957,"slug":958,"logo_url":386},"YTL Digital Bank Berhad (Registration No. 202201037182 (1482879-P))","ytl-digital-bank-berhad-registration-no-202201037182-1482879-p",[960],"Kuala Lumpur",[962],"MY",[375],{"r":88,"sas":88,"sql":88,"python":88},[487,211,207,243],{"risk modeling":81,"model validation":81,"credit scorecards":81,"bnm policy documents":81,"credit risk analytics":81,"ifrs 9 \u002F mfrs 9 modeling":81,"independent credit review":81,"basel internal rating requirements":81},[968,199,969,970,971,972,973,974],"Credit Risk Analytics","Risk Modeling","Independent Credit Review","BNM Policy Documents","Credit Scorecards","IFRS 9 \u002F MFRS 9 Modeling","Basel Internal Rating Requirements",{"id":976,"slug":977,"title":978,"raw_title":386,"is_featured":387,"company":979,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":982,"processed_country_iso_code_gmaps":983,"processed_home_office":459,"processed_salary_min":429,"processed_salary_max":568,"processed_salary_currency":310,"processed_salary_source":398,"processed_working_hours":984,"processed_employment_types":97,"processed_it_skills":985,"processed_it_skills_labels":986,"processed_job_expertise_skills":989,"processed_job_expertise_skills_labels":990,"max_cpc":364,"actual_cpc":364},88816,"vp-aml-systems-transaction-monitoring-group-compliance-united-overseas-bank-ltd","VP, AML Systems – Transaction Monitoring, Group Compliance",{"name":980,"slug":981,"logo_url":386},"United Overseas Bank Ltd","united-overseas-bank-ltd",[565],[567],[375],{"sql":81,"qlik":88,"python":81,"power bi":88,"data science":81,"data analytics":81,"microsoft excel":88,"machine learning":81,"data visualization":88,"microsoft powerpoint":88,"robotic process automation":88},[207,211,733,734,488,987,130,184,988,168,935],"Qlik","Robotic Process Automation",{"training":88,"financial crime":81,"team leadership":81,"ai\u002Fml deployment":81,"threshold tuning":81,"change management":81,"alert optimization":81,"project management":81,"scenario calibration":81,"statistical analysis":81,"regulatory compliance":81,"process re-engineering":81,"business systems analysis":81,"aml\u002Fcft transaction monitoring":81},[991,765,992,993,134,415,994,995,493,996,188,997,998,999],"AML\u002FCFT Transaction Monitoring","Team Leadership","Business Systems Analysis","Threshold Tuning","Scenario Calibration","Alert Optimization","Process Re-engineering","Training","AI\u002FML Deployment",{"id":1001,"slug":1002,"title":1003,"raw_title":386,"is_featured":387,"company":1004,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":1007,"processed_country_iso_code_gmaps":1008,"processed_home_office":1009,"processed_salary_min":875,"processed_salary_max":512,"processed_salary_currency":313,"processed_salary_source":398,"processed_working_hours":1010,"processed_employment_types":97,"processed_it_skills":1011,"processed_it_skills_labels":1012,"processed_job_expertise_skills":1015,"processed_job_expertise_skills_labels":1016,"max_cpc":364,"actual_cpc":1030},93405,"senior-database-platform-engineer-howden-group-services-limited","Senior Database Platform Engineer",{"name":1005,"slug":1006,"logo_url":386},"Howden Group Services Limited","howden-group-services-limited",[726],[728],"remote",[375],{"azure":88,"bicep":361,"python":88,"azure sql":81,"terraform":361,"databricks":88,"postgresql":88,"powershell":88,"sql server":81},[658,1013,807,519,207,616,251,1014,520],"Azure SQL","Bicep",{"access control":81,"data warehouse":88,"cloud migration":88,"change management":81,"database security":81,"performance tuning":81,"problem management":81,"backup and recovery":81,"incident management":81,"database engineering":81,"infrastructure-as-code":361,"lakehouse architecture":88,"database administration":81,"monitoring and observability":81,"high availability and disaster recovery":81},[1017,1018,1019,1020,1021,1022,1023,154,1024,188,1025,1026,1027,1028,1029],"Database Engineering","Database Administration","Performance Tuning","High Availability and Disaster Recovery","Backup and Recovery","Database Security","Access Control","Problem Management","Monitoring and Observability","Data Warehouse","Cloud Migration","Lakehouse Architecture","Infrastructure-as-Code",0.5,{"total":1032,"jobs":1033},0,[]]